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docs: complete documentation overhaul with v3.1.0 release notes and zh-CN translations

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Documentation restructure:
- New docs/getting-started/ guide (4 files: install, quick-start, first-skill, next-steps)
- New docs/user-guide/ section (6 files: core concepts through troubleshooting)
- New docs/reference/ section (CLI_REFERENCE, CONFIG_FORMAT, ENVIRONMENT_VARIABLES, MCP_REFERENCE)
- New docs/advanced/ section (custom-workflows, mcp-server, multi-source)
- New docs/ARCHITECTURE.md - system architecture overview
- Archived legacy files (QUICKSTART.md, QUICK_REFERENCE.md, docs/guides/USAGE.md) to docs/archive/legacy/

Chinese (zh-CN) translations:
- Full zh-CN mirror of all user-facing docs (getting-started, user-guide, reference, advanced)
- GitHub Actions workflow for translation sync (.github/workflows/translate-docs.yml)
- Translation sync checker script (scripts/check_translation_sync.sh)
- Translation helper script (scripts/translate_doc.py)

Content updates:
- CHANGELOG.md: [Unreleased] → [3.1.0] - 2026-02-22
- README.md: updated with new doc structure links
- AGENTS.md: updated agent documentation
- docs/features/UNIFIED_SCRAPING.md: updated for unified scraper workflow JSON config

Analysis/planning artifacts (kept for reference):
- DOCUMENTATION_OVERHAUL_PLAN.md, DOCUMENTATION_OVERHAUL_SUMMARY.md
- FEATURE_GAP_ANALYSIS.md, IMPLEMENTATION_GAPS_ANALYSIS.md, CREATE_COMMAND_COVERAGE_ANALYSIS.md
- CHINESE_TRANSLATION_IMPLEMENTATION_SUMMARY.md, ISSUE_260_UPDATE.md

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
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2026-02-22 01:01:51 +03:00
parent 22bdd4f5f6
commit ba9a8ff8b5
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# Documentation Architecture
> **How Skill Seekers documentation is organized**
---
## Philosophy
Our documentation follows these principles:
1. **Progressive Disclosure** - Start simple, add complexity as needed
2. **Task-Oriented** - Organized by what users want to do
3. **Single Source of Truth** - One authoritative reference per topic
4. **Version Current** - Always reflect the latest release
---
## Directory Structure
```
docs/
├── README.md # Entry point - navigation hub
├── ARCHITECTURE.md # This file
│
├── getting-started/ # New users (lowest cognitive load)
│ ├── 01-installation.md
│ ├── 02-quick-start.md
│ ├── 03-your-first-skill.md
│ └── 04-next-steps.md
│
├── user-guide/ # Common tasks (practical focus)
│ ├── 01-core-concepts.md
│ ├── 02-scraping.md
│ ├── 03-enhancement.md
│ ├── 04-packaging.md
│ ├── 05-workflows.md
│ └── 06-troubleshooting.md
│
├── reference/ # Technical details (comprehensive)
│ ├── CLI_REFERENCE.md
│ ├── MCP_REFERENCE.md
│ ├── CONFIG_FORMAT.md
│ └── ENVIRONMENT_VARIABLES.md
│
└── advanced/ # Power users (specialized)
├── mcp-server.md
├── mcp-tools.md
├── custom-workflows.md
└── multi-source.md
```
---
## Category Guidelines
### Getting Started
**Purpose:** Get new users to their first success quickly
**Characteristics:**
- Minimal prerequisites
- Step-by-step instructions
- Copy-paste ready commands
- Screenshots/output examples
**Files:**
- `01-installation.md` - Install the tool
- `02-quick-start.md` - 3 commands to first skill
- `03-your-first-skill.md` - Complete walkthrough
- `04-next-steps.md` - Where to go after first success
---
### User Guide
**Purpose:** Teach common tasks and concepts
**Characteristics:**
- Task-oriented
- Practical examples
- Best practices
- Common patterns
**Files:**
- `01-core-concepts.md` - How it works
- `02-scraping.md` - All scraping options
- `03-enhancement.md` - AI enhancement
- `04-packaging.md` - Platform export
- `05-workflows.md` - Workflow presets
- `06-troubleshooting.md` - Problem solving
---
### Reference
**Purpose:** Authoritative technical information
**Characteristics:**
- Comprehensive
- Precise
- Organized for lookup
- Always accurate
**Files:**
- `CLI_REFERENCE.md` - All 20 CLI commands
- `MCP_REFERENCE.md` - 26 MCP tools
- `CONFIG_FORMAT.md` - JSON schema
- `ENVIRONMENT_VARIABLES.md` - All env vars
---
### Advanced
**Purpose:** Specialized topics for power users
**Characteristics:**
- Assumes basic knowledge
- Deep dives
- Complex scenarios
- Integration topics
**Files:**
- `mcp-server.md` - MCP server setup
- `mcp-tools.md` - Advanced MCP usage
- `custom-workflows.md` - Creating workflows
- `multi-source.md` - Unified scraping
---
## Naming Conventions
### Files
- **getting-started:** `01-topic.md` (numbered for order)
- **user-guide:** `01-topic.md` (numbered for order)
- **reference:** `TOPIC_REFERENCE.md` (uppercase, descriptive)
- **advanced:** `topic.md` (lowercase, specific)
### Headers
- H1: Title with version
- H2: Major sections
- H3: Subsections
- H4: Details
Example:
```markdown
# Topic Guide
> **Skill Seekers v3.1.0**
## Major Section
### Subsection
#### Detail
```
---
## Cross-References
Link to related docs using relative paths:
```markdown
<!-- Within same directory -->
See [Troubleshooting](06-troubleshooting.md)
<!-- Up one directory, then into reference -->
See [CLI Reference](../reference/CLI_REFERENCE.md)
<!-- Up two directories (to root) -->
See [Contributing](../../CONTRIBUTING.md)
```
---
## Maintenance
### Keeping Docs Current
1. **Update with code changes** - Docs must match implementation
2. **Version in header** - Keep version current
3. **Last updated date** - Track freshness
4. **Deprecate old files** - Don't delete, redirect
### Review Checklist
Before committing docs:
- [ ] Commands actually work (tested)
- [ ] No phantom commands documented
- [ ] Links work
- [ ] Version number correct
- [ ] Date updated
---
## Adding New Documentation
### New User Guide
1. Add to `user-guide/` with next number
2. Update `docs/README.md` navigation
3. Add to table of contents
4. Link from related guides
### New Reference
1. Add to `reference/` with `_REFERENCE` suffix
2. Update `docs/README.md` navigation
3. Link from user guides
4. Add to troubleshooting if relevant
### New Advanced Topic
1. Add to `advanced/` with descriptive name
2. Update `docs/README.md` navigation
3. Link from appropriate user guide
---
## Deprecation Strategy
When content becomes outdated:
1. **Don't delete immediately** - Breaks external links
2. **Add deprecation notice**:
```markdown
> ⚠️ **DEPRECATED**: This document is outdated.
> See [New Guide](path/to/new.md) for current information.
```
3. **Move to archive** after 6 months:
```
docs/archive/legacy/
```
4. **Update navigation** to remove deprecated links
---
## Contributing
### Doc Changes
1. Edit relevant file
2. Test all commands
3. Update version/date
4. Submit PR
### New Doc
1. Choose appropriate category
2. Follow naming conventions
3. Add to README.md
4. Cross-link related docs
---
## See Also
- [Docs README](README.md) - Navigation hub
- [Contributing Guide](../CONTRIBUTING.md) - How to contribute
- [Repository README](../README.md) - Project overview

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# Documentation Updates Summary
**Date:** 2026-02-22
**Version:** 3.1.0
**Purpose:** Document all documentation updates related to CLI flag synchronization
---
## Changes Overview
This document summarizes all documentation updates made to reflect the CLI flag synchronization changes across all 5 scrapers (doc, github, analyze, pdf, unified).
---
## Updated Files
### 1. docs/reference/CLI_REFERENCE.md
**Changes:**
- **analyze command**: Added new flags:
- `--api-key` - Anthropic API key
- `--enhance-workflow` - Apply workflow preset
- `--enhance-stage` - Add inline stage
- `--var` - Override workflow variable
- `--workflow-dry-run` - Preview workflow
- `--dry-run` - Preview analysis
- **pdf command**: Added new flags:
- `--ocr` - Enable OCR
- `--pages` - Page range
- `--enhance-level` - AI enhancement level
- `--api-key` - Anthropic API key
- `--dry-run` - Preview extraction
- **unified command**: Added new flags:
- `--enhance-level` - Override enhancement level
- `--api-key` - Anthropic API key
- `--enhance-workflow` - Apply workflow preset
- `--enhance-stage` - Add inline stage
- `--var` - Override workflow variable
- `--workflow-dry-run` - Preview workflow
- `--skip-codebase-analysis` - Skip C3.x analysis
---
### 2. docs/reference/CONFIG_FORMAT.md
**Changes:**
- Added workflow configuration section for unified configs
- New top-level fields:
- `workflows` - Array of workflow preset names
- `workflow_stages` - Array of inline stages
- `workflow_vars` - Object of variable overrides
- `workflow_dry_run` - Boolean for preview mode
- Added example JSON showing workflow configuration
- Documented CLI priority (CLI flags override config values)
---
### 3. docs/user-guide/05-workflows.md
**Changes:**
- Added "Workflow Support Across All Scrapers" section
- Table showing all 5 scrapers support workflows
- Examples for each source type (web, GitHub, local, PDF, unified)
- Added "Workflows in Config Files" section
- JSON example with workflows, stages, and vars
- CLI override example showing priority
---
### 4. docs/features/UNIFIED_SCRAPING.md
**Changes:**
- Updated Phase list to include Phase 5 (Enhancement Workflows)
- Added "Enhancement Workflow Options" section with:
- Workflow preset examples
- Multiple workflow chaining
- Custom enhancement stages
- Workflow variables
- Dry run preview
- Added "Global Enhancement Override" section:
- --enhance-level override
- --api-key usage
- Added "Workflow Configuration in JSON" section:
- Complete JSON example
- CLI priority note
- Updated data flow diagram to include Phase 5
- Added local source to scraper list
- Updated Changelog with v3.1.0 changes
---
## Files Reviewed (No Changes Needed)
### docs/advanced/custom-workflows.md
- Already comprehensive, covers custom workflow creation
- No updates needed for flag synchronization
### docs/advanced/multi-source.md
- Already covers multi-source concepts well
- No updates needed for flag synchronization
### docs/reference/FEATURE_MATRIX.md
- Already comprehensive platform/feature matrix
- No updates needed for flag synchronization
---
## Chinese Translation Updates Required
The following Chinese documentation files should be updated to match the English versions:
### Priority 1 (Must Update)
1. `docs/zh-CN/reference/CLI_REFERENCE.md`
- Add new flags to analyze, pdf, unified commands
2. `docs/zh-CN/reference/CONFIG_FORMAT.md`
- Add workflow configuration section
3. `docs/zh-CN/user-guide/05-workflows.md`
- Add scraper support table
- Add config file workflow section
### Priority 2 (Should Update)
4. `docs/zh-CN/features/UNIFIED_SCRAPING.md`
- Add Phase 5 (workflows)
- Add CLI flag sections
---
## Auto-Translation Workflow
The repository has a GitHub Actions workflow (`.github/workflows/translate-docs.yml`) that can automatically translate documentation to Chinese.
To trigger translation:
1. Push changes to main branch
2. Workflow will auto-translate modified files
3. Review and merge the translation PR
---
## Verification Checklist
- [x] CLI_REFERENCE.md updated with new flags
- [x] CONFIG_FORMAT.md updated with workflow support
- [x] user-guide/05-workflows.md updated with scraper coverage
- [x] features/UNIFIED_SCRAPING.md updated with Phase 5
- [ ] Chinese translations updated (via auto-translate workflow)
---
## Key New Features to Document
1. **All 5 scrapers now support workflows:**
- doc_scraper (scrape command)
- github_scraper (github command)
- codebase_scraper (analyze command) - **NEW**
- pdf_scraper (pdf command) - **NEW**
- unified_scraper (unified command) - **NEW**
2. **New CLI flags across scrapers:**
- `--api-key` - analyze, pdf, unified
- `--enhance-level` - unified (override)
- `--enhance-workflow` - analyze, unified
- `--enhance-stage` - analyze, unified
- `--var` - analyze, unified
- `--workflow-dry-run` - analyze, unified
- `--dry-run` - analyze
3. **Config file workflow support:**
- Top-level `workflows` array
- `workflow_stages` for inline stages
- `workflow_vars` for variables
- `workflow_dry_run` for preview
---
## Related Commits
- `22bdd4f` - CLI flag sync across analyze/pdf/unified commands
- `4722634` - CONFIG_ARGUMENTS and _route_config fixes
- `4b70c5a` - Workflow support to unified_scraper
---
*For questions or issues, refer to the main README.md or open a GitHub issue.*

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# Skill Seekers Documentation
Welcome to the Skill Seekers documentation hub. This directory contains comprehensive documentation organized by category.
## 📚 Quick Navigation
### 🆕 New in v3.x
**Recently Added Documentation:**
- ⭐ [Quick Reference](QUICK_REFERENCE.md) - One-page cheat sheet
- ⭐ [API Reference](reference/API_REFERENCE.md) - Programmatic usage guide
- ⭐ [Bootstrap Skill](features/BOOTSTRAP_SKILL.md) - Self-hosting documentation
- ⭐ [Code Quality](reference/CODE_QUALITY.md) - Linting and standards
- ⭐ [Testing Guide](guides/TESTING_GUIDE.md) - Complete testing reference
- ⭐ [Migration Guide](guides/MIGRATION_GUIDE.md) - Version upgrade guide
- ⭐ [FAQ](FAQ.md) - Frequently asked questions
### 🚀 Getting Started
**New to Skill Seekers?** Start here:
- [Main README](../README.md) - Project overview and installation
- [Quick Reference](QUICK_REFERENCE.md) - **One-page cheat sheet** ⚡
- [FAQ](FAQ.md) - Frequently asked questions
- [Quickstart Guide](../QUICKSTART.md) - Fast introduction
- [Bulletproof Quickstart](../BULLETPROOF_QUICKSTART.md) - Beginner-friendly guide
- [Troubleshooting](../TROUBLESHOOTING.md) - Common issues and solutions
### 📖 User Guides
Essential guides for setup and daily usage:
- **Setup & Configuration**
- [Setup Quick Reference](guides/SETUP_QUICK_REFERENCE.md) - Quick setup commands
- [MCP Setup](guides/MCP_SETUP.md) - MCP server configuration
- [Multi-Agent Setup](guides/MULTI_AGENT_SETUP.md) - Multi-agent configuration
- [HTTP Transport](guides/HTTP_TRANSPORT.md) - HTTP transport mode setup
- **Usage Guides**
- [Usage Guide](guides/USAGE.md) - Comprehensive usage instructions
- [Upload Guide](guides/UPLOAD_GUIDE.md) - Uploading skills to platforms
- [Testing Guide](guides/TESTING_GUIDE.md) - Complete testing reference (1,880+ tests)
- [Migration Guide](guides/MIGRATION_GUIDE.md) - Version upgrade instructions
### ⚡ Feature Documentation
Learn about core features and capabilities:
#### Core Features
- [Pattern Detection (C3.1)](features/PATTERN_DETECTION.md) - Design pattern detection
- [Test Example Extraction (C3.2)](features/TEST_EXAMPLE_EXTRACTION.md) - Extract usage from tests
- [How-To Guides (C3.3)](features/HOW_TO_GUIDES.md) - Auto-generate tutorials
- [Unified Scraping](features/UNIFIED_SCRAPING.md) - Multi-source scraping
- [Bootstrap Skill](features/BOOTSTRAP_SKILL.md) - Self-hosting capability (dogfooding)
#### AI Enhancement
- [AI Enhancement](features/ENHANCEMENT.md) - AI-powered skill enhancement
- [Enhancement Modes](features/ENHANCEMENT_MODES.md) - Headless, background, daemon modes
#### PDF Features
- [PDF Scraper](features/PDF_SCRAPER.md) - Extract from PDF documents
- [PDF Advanced Features](features/PDF_ADVANCED_FEATURES.md) - OCR, images, tables
- [PDF Chunking](features/PDF_CHUNKING.md) - Handle large PDFs
- [PDF MCP Tool](features/PDF_MCP_TOOL.md) - MCP integration
### 🔌 Platform Integrations
Multi-LLM platform support:
- [Multi-LLM Support](integrations/MULTI_LLM_SUPPORT.md) - Overview of platform support
- [Gemini Integration](integrations/GEMINI_INTEGRATION.md) - Google Gemini
- [OpenAI Integration](integrations/OPENAI_INTEGRATION.md) - ChatGPT
### 📘 Reference Documentation
Technical reference and architecture:
- [API Reference](reference/API_REFERENCE.md) - **Programmatic usage guide** ⭐
- [Code Quality](reference/CODE_QUALITY.md) - **Linting, testing, CI/CD standards** ⭐
- [Feature Matrix](reference/FEATURE_MATRIX.md) - Platform compatibility matrix
- [Git Config Sources](reference/GIT_CONFIG_SOURCES.md) - Config repository management
- [Large Documentation](reference/LARGE_DOCUMENTATION.md) - Handling large docs
- [llms.txt Support](reference/LLMS_TXT_SUPPORT.md) - llms.txt format
- [Skill Architecture](reference/SKILL_ARCHITECTURE.md) - Skill structure
- [AI Skill Standards](reference/AI_SKILL_STANDARDS.md) - Quality standards
- [C3.x Router Architecture](reference/C3_x_Router_Architecture.md) - Router skills
- [Claude Integration](reference/CLAUDE_INTEGRATION.md) - Claude-specific features
### 📋 Planning & Design
Development plans and designs:
- [Design Plans](plans/) - Feature design documents
### 📦 Archive
Historical documentation and completed features:
- [Historical](archive/historical/) - Completed features and reports
- [Research](archive/research/) - Research notes and POCs
- [Temporary](archive/temp/) - Temporary analysis documents
## 🤝 Contributing
Want to contribute? See:
- [Contributing Guide](../CONTRIBUTING.md) - Contribution guidelines
- [Roadmap](../ROADMAP.md) - Comprehensive roadmap with 136 tasks
## 📝 Changelog
- [CHANGELOG](../CHANGELOG.md) - Version history and release notes
## 💡 Quick Links
### For Users
- [Installation](../README.md#installation)
- [Quick Start](../QUICKSTART.md)
- [MCP Setup](guides/MCP_SETUP.md)
- [Troubleshooting](../TROUBLESHOOTING.md)
### For Developers
- [Contributing](../CONTRIBUTING.md)
- [Development Setup](../CONTRIBUTING.md#development-setup)
- [Testing Guide](guides/TESTING_GUIDE.md) - Complete testing reference
- [Code Quality](reference/CODE_QUALITY.md) - Linting and standards
- [API Reference](reference/API_REFERENCE.md) - Programmatic usage
- [Architecture](reference/SKILL_ARCHITECTURE.md)
### API & Tools
- [API Documentation](../api/README.md)
- [MCP Server](../src/skill_seekers/mcp/README.md)
- [Config Repository](../skill-seekers-configs/README.md)
## 🔍 Finding What You Need
### I want to...
**Get started quickly**
→ [Quick Reference](QUICK_REFERENCE.md) or [Quickstart Guide](../QUICKSTART.md)
**Find quick answers**
→ [FAQ](FAQ.md) - Frequently asked questions
**Use Skill Seekers programmatically**
→ [API Reference](reference/API_REFERENCE.md) - Python integration
**Set up MCP server**
→ [MCP Setup Guide](guides/MCP_SETUP.md)
**Run tests**
→ [Testing Guide](guides/TESTING_GUIDE.md) - 1,880+ tests
**Understand code quality standards**
→ [Code Quality](reference/CODE_QUALITY.md) - Linting and CI/CD
**Upgrade to new version**
→ [Migration Guide](guides/MIGRATION_GUIDE.md) - Version upgrades
**Scrape documentation**
→ [Usage Guide](guides/USAGE.md) → Documentation Scraping
**Scrape GitHub repos**
→ [Usage Guide](guides/USAGE.md) → GitHub Scraping
**Scrape PDFs**
→ [PDF Scraper](features/PDF_SCRAPER.md)
**Combine multiple sources**
→ [Unified Scraping](features/UNIFIED_SCRAPING.md)
**Enhance my skill with AI**
→ [AI Enhancement](features/ENHANCEMENT.md)
**Upload to Google Gemini**
→ [Gemini Integration](integrations/GEMINI_INTEGRATION.md)
**Upload to ChatGPT**
→ [OpenAI Integration](integrations/OPENAI_INTEGRATION.md)
**Understand design patterns**
→ [Pattern Detection](features/PATTERN_DETECTION.md)
**Extract test examples**
→ [Test Example Extraction](features/TEST_EXAMPLE_EXTRACTION.md)
**Generate how-to guides**
→ [How-To Guides](features/HOW_TO_GUIDES.md)
**Create self-documenting skill**
→ [Bootstrap Skill](features/BOOTSTRAP_SKILL.md) - Dogfooding
**Fix an issue**
→ [Troubleshooting](../TROUBLESHOOTING.md) or [FAQ](FAQ.md)
**Contribute code**
→ [Contributing Guide](../CONTRIBUTING.md) and [Code Quality](reference/CODE_QUALITY.md)
## 📢 Support
- **Issues**: [GitHub Issues](https://github.com/yusufkaraaslan/Skill_Seekers/issues)
- **Discussions**: [GitHub Discussions](https://github.com/yusufkaraaslan/Skill_Seekers/discussions)
- **Project Board**: [GitHub Projects](https://github.com/users/yusufkaraaslan/projects/2)
> **Complete documentation for Skill Seekers v3.1.0**
---
**Documentation Version**: 3.1.0-dev
**Last Updated**: 2026-02-18
**Status**: ✅ Complete & Organized
## Welcome!
This is the official documentation for **Skill Seekers** - the universal tool for converting documentation, code, and PDFs into AI-ready skills.
---
## Where Should I Start?
### 🚀 I'm New Here
Start with our **Getting Started** guides:
1. [Installation](getting-started/01-installation.md) - Install Skill Seekers
2. [Quick Start](getting-started/02-quick-start.md) - Create your first skill in 3 commands
3. [Your First Skill](getting-started/03-your-first-skill.md) - Complete walkthrough
4. [Next Steps](getting-started/04-next-steps.md) - Where to go from here
### 📖 I Want to Learn
Explore our **User Guides**:
- [Core Concepts](user-guide/01-core-concepts.md) - How Skill Seekers works
- [Scraping Guide](user-guide/02-scraping.md) - All scraping options
- [Enhancement Guide](user-guide/03-enhancement.md) - AI enhancement explained
- [Packaging Guide](user-guide/04-packaging.md) - Export to platforms
- [Workflows Guide](user-guide/05-workflows.md) - Enhancement workflows
- [Troubleshooting](user-guide/06-troubleshooting.md) - Common issues
### 📚 I Need Reference
Look up specific information:
- [CLI Reference](reference/CLI_REFERENCE.md) - All 20 commands
- [MCP Reference](reference/MCP_REFERENCE.md) - 26 MCP tools
- [Config Format](reference/CONFIG_FORMAT.md) - JSON specification
- [Environment Variables](reference/ENVIRONMENT_VARIABLES.md) - All env vars
### 🚀 I'm Ready for Advanced Topics
Power user features:
- [MCP Server Setup](advanced/mcp-server.md) - MCP integration
- [MCP Tools Deep Dive](advanced/mcp-tools.md) - Advanced MCP usage
- [Custom Workflows](advanced/custom-workflows.md) - Create workflows
- [Multi-Source Scraping](advanced/multi-source.md) - Combine sources
---
## Quick Reference
### The 3 Commands
```bash
# 1. Install
pip install skill-seekers
# 2. Create skill
skill-seekers create https://docs.django.com/
# 3. Package for Claude
skill-seekers package output/django --target claude
```
### Common Commands
```bash
# Scrape documentation
skill-seekers scrape --config react
# Analyze GitHub repo
skill-seekers github --repo facebook/react
# Extract PDF
skill-seekers pdf manual.pdf --name docs
# Analyze local code
skill-seekers analyze --directory ./my-project
# Enhance skill
skill-seekers enhance output/my-skill/
# Package for platform
skill-seekers package output/my-skill/ --target claude
# Upload
skill-seekers upload output/my-skill-claude.zip
# List workflows
skill-seekers workflows list
```
---
## Documentation Structure
```
docs/
├── README.md # This file - start here
├── ARCHITECTURE.md # How docs are organized
│
├── getting-started/ # For new users
│ ├── 01-installation.md
│ ├── 02-quick-start.md
│ ├── 03-your-first-skill.md
│ └── 04-next-steps.md
│
├── user-guide/ # Common tasks
│ ├── 01-core-concepts.md
│ ├── 02-scraping.md
│ ├── 03-enhancement.md
│ ├── 04-packaging.md
│ ├── 05-workflows.md
│ └── 06-troubleshooting.md
│
├── reference/ # Technical reference
│ ├── CLI_REFERENCE.md # 20 commands
│ ├── MCP_REFERENCE.md # 26 MCP tools
│ ├── CONFIG_FORMAT.md # JSON spec
│ └── ENVIRONMENT_VARIABLES.md
│
└── advanced/ # Power user topics
├── mcp-server.md
├── mcp-tools.md
├── custom-workflows.md
└── multi-source.md
```
---
## By Use Case
### I Want to Build AI Skills
For Claude, Gemini, ChatGPT:
1. [Quick Start](getting-started/02-quick-start.md)
2. [Enhancement Guide](user-guide/03-enhancement.md)
3. [Workflows Guide](user-guide/05-workflows.md)
### I Want to Build RAG Pipelines
For LangChain, LlamaIndex, vector DBs:
1. [Core Concepts](user-guide/01-core-concepts.md)
2. [Packaging Guide](user-guide/04-packaging.md)
3. [MCP Reference](reference/MCP_REFERENCE.md)
### I Want AI Coding Assistance
For Cursor, Windsurf, Cline:
1. [Your First Skill](getting-started/03-your-first-skill.md)
2. [Local Codebase Analysis](user-guide/02-scraping.md#local-codebase-analysis)
3. `skill-seekers install-agent --agent cursor`
---
## Version Information
- **Current Version:** 3.1.0
- **Last Updated:** 2026-02-16
- **Python Required:** 3.10+
---
## Contributing to Documentation
Found an issue? Want to improve docs?
1. Edit files in the `docs/` directory
2. Follow the existing structure
3. Submit a PR
See [Contributing Guide](../CONTRIBUTING.md) for details.
---
## External Links
- **Main Repository:** https://github.com/yusufkaraaslan/Skill_Seekers
- **Website:** https://skillseekersweb.com/
- **PyPI:** https://pypi.org/project/skill-seekers/
- **Issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
---
## License
MIT License - see [LICENSE](../LICENSE) file.
---
*Happy skill building! 🚀*

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# Custom Workflows Guide
> **Skill Seekers v3.1.0**
> **Create custom AI enhancement workflows**
---
## What are Custom Workflows?
Workflows are YAML-defined, multi-stage AI enhancement pipelines:
```yaml
my-workflow.yaml
├── name
├── description
├── variables (optional)
└── stages (1-10)
├── name
├── type (builtin/custom)
├── target (skill_md/references/)
├── prompt
└── uses_history (optional)
```
---
## Basic Workflow Structure
```yaml
name: my-custom
description: Custom enhancement workflow
stages:
- name: stage-one
type: builtin
target: skill_md
prompt: |
Improve the SKILL.md by adding...
- name: stage-two
type: custom
target: references
prompt: |
Enhance the references by...
```
---
## Workflow Fields
### Top Level
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Workflow identifier |
| `description` | No | Human-readable description |
| `variables` | No | Configurable variables |
| `stages` | Yes | Array of stage definitions |
### Stage Fields
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Stage identifier |
| `type` | Yes | `builtin` or `custom` |
| `target` | Yes | `skill_md` or `references` |
| `prompt` | Yes | AI prompt text |
| `uses_history` | No | Access previous stage results |
---
## Creating Your First Workflow
### Example: Performance Analysis
```yaml
# performance.yaml
name: performance-focus
description: Analyze and document performance characteristics
variables:
target_latency: "100ms"
target_throughput: "1000 req/s"
stages:
- name: performance-overview
type: builtin
target: skill_md
prompt: |
Add a "Performance" section to SKILL.md covering:
- Benchmark results
- Performance characteristics
- Resource requirements
- name: optimization-guide
type: custom
target: references
uses_history: true
prompt: |
Create an optimization guide with:
- Target latency: {target_latency}
- Target throughput: {target_throughput}
- Common bottlenecks
- Optimization techniques
```
### Install and Use
```bash
# Add workflow
skill-seekers workflows add performance.yaml
# Use it
skill-seekers create <source> --enhance-workflow performance-focus
# With custom variables
skill-seekers create <source> \
--enhance-workflow performance-focus \
--var target_latency=50ms \
--var target_throughput=5000req/s
```
---
## Stage Types
### builtin
Uses built-in enhancement logic:
```yaml
stages:
- name: structure-improvement
type: builtin
target: skill_md
prompt: "Improve document structure"
```
### custom
Full custom prompt control:
```yaml
stages:
- name: custom-analysis
type: custom
target: skill_md
prompt: |
Your detailed custom prompt here...
Can use {variables} and {history}
```
---
## Targets
### skill_md
Enhances the main SKILL.md file:
```yaml
stages:
- name: improve-skill
target: skill_md
prompt: "Add comprehensive overview section"
```
### references
Enhances reference files:
```yaml
stages:
- name: improve-refs
target: references
prompt: "Add cross-references between files"
```
---
## Variables
### Defining Variables
```yaml
variables:
audience: "beginners"
focus_area: "security"
include_examples: true
```
### Using Variables
```yaml
stages:
- name: customize
prompt: |
Tailor content for {audience}.
Focus on {focus_area}.
Include examples: {include_examples}
```
### Overriding at Runtime
```bash
skill-seekers create <source> \
--enhance-workflow my-workflow \
--var audience=experts \
--var focus_area=performance
```
---
## History Passing
Access results from previous stages:
```yaml
stages:
- name: analyze
type: custom
target: skill_md
prompt: "Analyze security features"
- name: document
type: custom
target: skill_md
uses_history: true
prompt: |
Based on previous analysis:
{previous_results}
Create documentation...
```
---
## Advanced Example: Security Review
```yaml
name: comprehensive-security
description: Multi-stage security analysis
variables:
compliance_framework: "OWASP Top 10"
risk_level: "high"
stages:
- name: asset-inventory
type: builtin
target: skill_md
prompt: |
Document all security-sensitive components:
- Authentication mechanisms
- Authorization checks
- Data validation
- Encryption usage
- name: threat-analysis
type: custom
target: skill_md
uses_history: true
prompt: |
Based on assets: {all_history}
Analyze threats for {compliance_framework}:
- Threat vectors
- Attack scenarios
- Risk ratings ({risk_level} focus)
- name: mitigation-guide
type: custom
target: references
uses_history: true
prompt: |
Create mitigation guide:
- Countermeasures
- Best practices
- Code examples
- Testing strategies
```
---
## Validation
### Validate Before Installing
```bash
skill-seekers workflows validate ./my-workflow.yaml
```
### Common Errors
| Error | Cause | Fix |
|-------|-------|-----|
| `Missing 'stages'` | No stages array | Add stages: |
| `Invalid type` | Not builtin/custom | Check type field |
| `Undefined variable` | Used but not defined | Add to variables: |
---
## Best Practices
### 1. Start Simple
```yaml
# Start with 1-2 stages
name: simple
description: Simple workflow
stages:
- name: improve
type: builtin
target: skill_md
prompt: "Improve SKILL.md"
```
### 2. Use Clear Stage Names
```yaml
# Good
stages:
- name: security-overview
- name: vulnerability-analysis
# Bad
stages:
- name: stage1
- name: step2
```
### 3. Document Variables
```yaml
variables:
# Target audience level: beginner, intermediate, expert
audience: "intermediate"
# Security focus area: owasp, pci, hipaa
compliance: "owasp"
```
### 4. Test Incrementally
```bash
# Test with dry run
skill-seekers create <source> \
--enhance-workflow my-workflow \
--workflow-dry-run
# Then actually run
skill-seekers create <source> \
--enhance-workflow my-workflow
```
### 5. Chain for Complex Analysis
```bash
# Use multiple workflows
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow performance-focus
```
---
## Sharing Workflows
### Export Workflow
```bash
# Get workflow content
skill-seekers workflows show my-workflow > my-workflow.yaml
```
### Share with Team
```bash
# Add to version control
git add my-workflow.yaml
git commit -m "Add custom security workflow"
# Team members install
skill-seekers workflows add my-workflow.yaml
```
### Publish
Submit to Skill Seekers community:
- GitHub Discussions
- Skill Seekers website
- Documentation contributions
---
## See Also
- [Workflows Guide](../user-guide/05-workflows.md) - Using workflows
- [MCP Reference](../reference/MCP_REFERENCE.md) - Workflows via MCP
- [Enhancement Guide](../user-guide/03-enhancement.md) - Enhancement fundamentals

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# MCP Server Setup Guide
> **Skill Seekers v3.1.0**
> **Integrate with AI agents via Model Context Protocol**
---
## What is MCP?
MCP (Model Context Protocol) lets AI agents like Claude Code control Skill Seekers through natural language:
```
You: "Scrape the React documentation"
Claude: ▶️ scrape_docs({"url": "https://react.dev/"})
✅ Done! Created output/react/
```
---
## Installation
```bash
# Install with MCP support
pip install skill-seekers[mcp]
# Verify
skill-seekers-mcp --version
```
---
## Transport Modes
### stdio Mode (Default)
For Claude Code, VS Code + Cline:
```bash
skill-seekers-mcp
```
**Use when:**
- Running in Claude Code
- Direct integration with terminal-based agents
- Simple local setup
---
### HTTP Mode
For Cursor, Windsurf, HTTP clients:
```bash
# Start HTTP server
skill-seekers-mcp --transport http --port 8765
# Custom host
skill-seekers-mcp --transport http --host 0.0.0.0 --port 8765
```
**Use when:**
- IDE integration (Cursor, Windsurf)
- Remote access needed
- Multiple clients
---
## Claude Code Integration
### Automatic Setup
```bash
# In Claude Code, run:
/claude add-mcp-server skill-seekers
```
Or manually add to `~/.claude/mcp.json`:
```json
{
"mcpServers": {
"skill-seekers": {
"command": "skill-seekers-mcp",
"env": {
"ANTHROPIC_API_KEY": "sk-ant-...",
"GITHUB_TOKEN": "ghp_..."
}
}
}
}
```
### Usage
Once connected, ask Claude:
```
"List available configs"
"Scrape the Django documentation"
"Package output/react for Gemini"
"Enhance output/my-skill with security-focus workflow"
```
---
## Cursor IDE Integration
### Setup
1. Start MCP server:
```bash
skill-seekers-mcp --transport http --port 8765
```
2. In Cursor Settings → MCP:
- Name: `skill-seekers`
- URL: `http://localhost:8765`
### Usage
In Cursor chat:
```
"Create a skill from the current project"
"Analyze this codebase and generate a cursorrules file"
```
---
## Windsurf Integration
### Setup
1. Start MCP server:
```bash
skill-seekers-mcp --transport http --port 8765
```
2. In Windsurf Settings:
- Add MCP server endpoint: `http://localhost:8765`
---
## Available Tools
26 tools organized by category:
### Core Tools (9)
- `list_configs` - List presets
- `generate_config` - Create config from URL
- `validate_config` - Check config
- `estimate_pages` - Page estimation
- `scrape_docs` - Scrape documentation
- `package_skill` - Package skill
- `upload_skill` - Upload to platform
- `enhance_skill` - AI enhancement
- `install_skill` - Complete workflow
### Extended Tools (9)
- `scrape_github` - GitHub repo
- `scrape_pdf` - PDF extraction
- `scrape_codebase` - Local code
- `unified_scrape` - Multi-source
- `detect_patterns` - Pattern detection
- `extract_test_examples` - Test examples
- `build_how_to_guides` - How-to guides
- `extract_config_patterns` - Config patterns
- `detect_conflicts` - Doc/code conflicts
### Config Sources (5)
- `add_config_source` - Register git source
- `list_config_sources` - List sources
- `remove_config_source` - Remove source
- `fetch_config` - Fetch configs
- `submit_config` - Submit configs
### Vector DB (4)
- `export_to_weaviate`
- `export_to_chroma`
- `export_to_faiss`
- `export_to_qdrant`
See [MCP Reference](../reference/MCP_REFERENCE.md) for full details.
---
## Common Workflows
### Workflow 1: Documentation Skill
```
User: "Create a skill from React docs"
Claude: ▶️ scrape_docs({"url": "https://react.dev/"})
⏳ Scraping...
✅ Created output/react/
▶️ package_skill({"skill_directory": "output/react/", "target": "claude"})
✅ Created output/react-claude.zip
Skill ready! Upload to Claude?
```
### Workflow 2: GitHub Analysis
```
User: "Analyze the facebook/react repo"
Claude: ▶️ scrape_github({"repo": "facebook/react"})
⏳ Analyzing...
✅ Created output/react/
▶️ enhance_skill({"skill_directory": "output/react/", "workflow": "architecture-comprehensive"})
✅ Enhanced with architecture analysis
```
### Workflow 3: Multi-Platform Export
```
User: "Create Django skill for all platforms"
Claude: ▶️ scrape_docs({"config": "django"})
✅ Created output/django/
▶️ package_skill({"skill_directory": "output/django/", "target": "claude"})
▶️ package_skill({"skill_directory": "output/django/", "target": "gemini"})
▶️ package_skill({"skill_directory": "output/django/", "target": "openai"})
✅ Created packages for all platforms
```
---
## Configuration
### Environment Variables
Set in `~/.claude/mcp.json` or before starting server:
```bash
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIza...
export OPENAI_API_KEY=sk-...
export GITHUB_TOKEN=ghp_...
```
### Server Options
```bash
# Debug mode
skill-seekers-mcp --verbose
# Custom port
skill-seekers-mcp --port 8080
# Allow all origins (CORS)
skill-seekers-mcp --cors
```
---
## Security
### Local Only (stdio)
```bash
# Only accessible by local Claude Code
skill-seekers-mcp
```
### HTTP with Auth
```bash
# Use reverse proxy with auth
# nginx, traefik, etc.
```
### API Key Protection
```bash
# Don't hardcode keys
# Use environment variables
# Or secret management
```
---
## Troubleshooting
### "Server not found"
```bash
# Check if running
curl http://localhost:8765/health
# Restart
skill-seekers-mcp --transport http --port 8765
```
### "Tool not available"
```bash
# Check version
skill-seekers-mcp --version
# Update
pip install --upgrade skill-seekers[mcp]
```
### "Connection refused"
```bash
# Check port
lsof -i :8765
# Use different port
skill-seekers-mcp --port 8766
```
---
## See Also
- [MCP Reference](../reference/MCP_REFERENCE.md) - Complete tool reference
- [MCP Tools Deep Dive](mcp-tools.md) - Advanced usage
- [MCP Protocol](https://modelcontextprotocol.io/) - Official MCP docs

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# Multi-Source Scraping Guide
> **Skill Seekers v3.1.0**
> **Combine documentation, code, and PDFs into one skill**
---
## What is Multi-Source Scraping?
Combine multiple sources into a single, comprehensive skill:
```
┌──────────────┐
│ Documentation │──┐
│ (Web docs) │ │
└──────────────┘ │
│
┌──────────────┐ │ ┌──────────────────┐
│ GitHub Repo │──┼────▶│ Unified Skill │
│ (Source code)│ │ │ (Single source │
└──────────────┘ │ │ of truth) │
│ └──────────────────┘
┌──────────────┐ │
│ PDF Manual │──┘
│ (Reference) │
└──────────────┘
```
---
## When to Use Multi-Source
### Use Cases
| Scenario | Sources | Benefit |
|----------|---------|---------|
| Framework + Examples | Docs + GitHub repo | Theory + practice |
| Product + API | Docs + OpenAPI spec | Usage + reference |
| Legacy + Current | PDF + Web docs | Complete history |
| Internal + External | Local code + Public docs | Full context |
### Benefits
- **Single source of truth** - One skill with all context
- **Conflict detection** - Find doc/code discrepancies
- **Cross-references** - Link between sources
- **Comprehensive** - No gaps in knowledge
---
## Creating Unified Configs
### Basic Structure
```json
{
"name": "my-framework-complete",
"description": "Complete documentation and code",
"merge_mode": "claude-enhanced",
"sources": [
{
"type": "docs",
"name": "documentation",
"base_url": "https://docs.example.com/"
},
{
"type": "github",
"name": "source-code",
"repo": "owner/repo"
}
]
}
```
---
## Source Types
### 1. Documentation
```json
{
"type": "docs",
"name": "official-docs",
"base_url": "https://docs.framework.com/",
"max_pages": 500,
"categories": {
"getting_started": ["intro", "quickstart"],
"api": ["reference", "api"]
}
}
```
### 2. GitHub Repository
```json
{
"type": "github",
"name": "source-code",
"repo": "facebook/react",
"fetch_issues": true,
"max_issues": 100,
"enable_codebase_analysis": true
}
```
### 3. PDF Document
```json
{
"type": "pdf",
"name": "legacy-manual",
"pdf_path": "docs/legacy-manual.pdf",
"enable_ocr": false
}
```
### 4. Local Codebase
```json
{
"type": "local",
"name": "internal-tools",
"directory": "./internal-lib",
"languages": ["Python", "JavaScript"]
}
```
---
## Complete Example
### React Complete Skill
```json
{
"name": "react-complete",
"description": "React - docs, source, and guides",
"merge_mode": "claude-enhanced",
"sources": [
{
"type": "docs",
"name": "react-docs",
"base_url": "https://react.dev/",
"max_pages": 300,
"categories": {
"getting_started": ["learn", "tutorial"],
"api": ["reference", "hooks"],
"advanced": ["concurrent", "suspense"]
}
},
{
"type": "github",
"name": "react-source",
"repo": "facebook/react",
"fetch_issues": true,
"max_issues": 50,
"enable_codebase_analysis": true,
"code_analysis_depth": "deep"
},
{
"type": "pdf",
"name": "react-patterns",
"pdf_path": "downloads/react-patterns.pdf"
}
],
"conflict_detection": {
"enabled": true,
"rules": [
{
"field": "api_signature",
"action": "flag_mismatch"
},
{
"field": "version",
"action": "warn_outdated"
}
]
},
"output_structure": {
"group_by_source": false,
"cross_reference": true
}
}
```
---
## Running Unified Scraping
### Basic Command
```bash
skill-seekers unified --config react-complete.json
```
### With Options
```bash
# Fresh start (ignore cache)
skill-seekers unified --config react-complete.json --fresh
# Dry run
skill-seekers unified --config react-complete.json --dry-run
# Rule-based merging
skill-seekers unified --config react-complete.json --merge-mode rule-based
```
---
## Merge Modes
### claude-enhanced (Default)
Uses AI to intelligently merge sources:
- Detects relationships between content
- Resolves conflicts intelligently
- Creates cross-references
- Best quality, slower
```bash
skill-seekers unified --config my-config.json --merge-mode claude-enhanced
```
### rule-based
Uses defined rules for merging:
- Faster
- Deterministic
- Less sophisticated
```bash
skill-seekers unified --config my-config.json --merge-mode rule-based
```
---
## Conflict Detection
### Automatic Detection
Finds discrepancies between sources:
```json
{
"conflict_detection": {
"enabled": true,
"rules": [
{
"field": "api_signature",
"action": "flag_mismatch"
},
{
"field": "version",
"action": "warn_outdated"
},
{
"field": "deprecation",
"action": "highlight"
}
]
}
}
```
### Conflict Report
After scraping, check for conflicts:
```bash
# Conflicts are reported in output
ls output/react-complete/conflicts.json
# Or use MCP tool
detect_conflicts({
"docs_source": "output/react-docs",
"code_source": "output/react-source"
})
```
---
## Output Structure
### Merged Output
```
output/react-complete/
├── SKILL.md # Combined skill
├── references/
│ ├── index.md # Master index
│ ├── getting_started.md # From docs
│ ├── api_reference.md # From docs
│ ├── source_overview.md # From GitHub
│ ├── code_examples.md # From GitHub
│ └── patterns.md # From PDF
├── .skill-seekers/
│ ├── manifest.json # Metadata
│ ├── sources.json # Source list
│ └── conflicts.json # Detected conflicts
└── cross-references.json # Links between sources
```
---
## Best Practices
### 1. Name Sources Clearly
```json
{
"sources": [
{"type": "docs", "name": "official-docs"},
{"type": "github", "name": "source-code"},
{"type": "pdf", "name": "legacy-reference"}
]
}
```
### 2. Limit Source Scope
```json
{
"type": "github",
"name": "core-source",
"repo": "owner/repo",
"file_patterns": ["src/**/*.py"], // Only core files
"exclude_patterns": ["tests/**", "docs/**"]
}
```
### 3. Enable Conflict Detection
```json
{
"conflict_detection": {
"enabled": true
}
}
```
### 4. Use Appropriate Merge Mode
- **claude-enhanced** - Best quality, for important skills
- **rule-based** - Faster, for testing or large datasets
### 5. Test Incrementally
```bash
# Test with one source first
skill-seekers create <source1>
# Then add sources
skill-seekers unified --config my-config.json --dry-run
```
---
## Troubleshooting
### "Source not found"
```bash
# Check all sources exist
curl -I https://docs.example.com/
ls downloads/manual.pdf
```
### "Merge conflicts"
```bash
# Check conflicts report
cat output/my-skill/conflicts.json
# Adjust merge_mode
skill-seekers unified --config my-config.json --merge-mode rule-based
```
### "Out of memory"
```bash
# Process sources separately
# Then merge manually
```
---
## Examples
### Framework + Examples
```json
{
"name": "django-complete",
"sources": [
{"type": "docs", "base_url": "https://docs.djangoproject.com/"},
{"type": "github", "repo": "django/django", "fetch_issues": false}
]
}
```
### API + Documentation
```json
{
"name": "stripe-complete",
"sources": [
{"type": "docs", "base_url": "https://stripe.com/docs"},
{"type": "pdf", "pdf_path": "stripe-api-reference.pdf"}
]
}
```
### Legacy + Current
```json
{
"name": "product-docs",
"sources": [
{"type": "docs", "base_url": "https://docs.example.com/v2/"},
{"type": "pdf", "pdf_path": "v1-legacy-manual.pdf"}
]
}
```
---
## See Also
- [Config Format](../reference/CONFIG_FORMAT.md) - Full JSON specification
- [Scraping Guide](../user-guide/02-scraping.md) - Individual source options
- [MCP Reference](../reference/MCP_REFERENCE.md) - unified_scrape tool

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> ⚠️ **DEPRECATED**: This document is outdated and uses old CLI patterns.
>
> For up-to-date documentation, please see:
> - [Quick Start Guide](docs/getting-started/02-quick-start.md) - 3 commands to first skill
> - [Installation Guide](docs/getting-started/01-installation.md) - Complete installation
> - [Documentation Hub](docs/README.md) - All documentation
>
> *This file is kept for historical reference only.*
---
# Quick Start Guide
## 🚀 3 Steps to Create a Skill
### Step 1: Install Dependencies
```bash
pip3 install requests beautifulsoup4
```
> **Note:** Skill_Seekers automatically checks for llms.txt files first, which is 10x faster when available.
### Step 2: Run the Tool
**Option A: Use a Preset (Easiest)**
```bash
skill-seekers scrape --config configs/godot.json
```
**Option B: Interactive Mode**
```bash
skill-seekers scrape --interactive
```
**Option C: Quick Command**
```bash
skill-seekers scrape --name react --url https://react.dev/
```
**Option D: Unified Multi-Source (NEW - v2.0.0)**
```bash
# Combine documentation + GitHub code in one skill
skill-seekers unified --config configs/react_unified.json
```
*Detects conflicts between docs and code automatically!*
### Step 3: Enhance SKILL.md (Recommended)
```bash
# LOCAL enhancement (no API key, uses Claude Code Max)
skill-seekers enhance output/godot/
```
**This takes 60 seconds and dramatically improves the SKILL.md quality!**
### Step 4: Package the Skill
```bash
skill-seekers package output/godot/
```
**Done!** You now have `godot.zip` ready to use.
---
## 📋 Available Presets
```bash
# Godot Engine
skill-seekers scrape --config configs/godot.json
# React
skill-seekers scrape --config configs/react.json
# Vue.js
skill-seekers scrape --config configs/vue.json
# Django
skill-seekers scrape --config configs/django.json
# FastAPI
skill-seekers scrape --config configs/fastapi.json
# Unified Multi-Source (NEW!)
skill-seekers unified --config configs/react_unified.json
skill-seekers unified --config configs/django_unified.json
skill-seekers unified --config configs/fastapi_unified.json
skill-seekers unified --config configs/godot_unified.json
```
---
## ⚡ Using Existing Data (Fast!)
If you already scraped once:
```bash
skill-seekers scrape --config configs/godot.json
# When prompted:
✓ Found existing data: 245 pages
Use existing data? (y/n): y
# Builds in seconds!
```
Or use `--skip-scrape`:
```bash
skill-seekers scrape --config configs/godot.json --skip-scrape
```
---
## 🎯 Complete Example (Recommended Workflow)
```bash
# 1. Install (once)
pip3 install requests beautifulsoup4
# 2. Scrape React docs with LOCAL enhancement
skill-seekers scrape --config configs/react.json --enhance-local
# Wait 15-30 minutes (scraping) + 60 seconds (enhancement)
# 3. Package
skill-seekers package output/react/
# 4. Use react.zip in Claude!
```
**Alternative: Enhancement after scraping**
```bash
# 2a. Scrape only (no enhancement)
skill-seekers scrape --config configs/react.json
# 2b. Enhance later
skill-seekers enhance output/react/
# 3. Package
skill-seekers package output/react/
```
---
## 💡 Pro Tips
### Test with Small Pages First
Edit config file:
```json
{
"max_pages": 20 // Test with just 20 pages
}
```
### Rebuild Instantly
```bash
# After first scrape, you can rebuild instantly:
skill-seekers scrape --config configs/react.json --skip-scrape
```
### Create Custom Config
```bash
# Copy a preset
cp configs/react.json configs/myframework.json
# Edit it
nano configs/myframework.json
# Use it
skill-seekers scrape --config configs/myframework.json
```
---
## 📁 What You Get
```
output/
├── godot_data/ # Raw scraped data (reusable!)
└── godot/ # The skill
├── SKILL.md # With real code examples!
└── references/ # Organized docs
```
---
## ❓ Need Help?
See **README.md** for:
- Complete documentation
- Config file structure
- Troubleshooting
- Advanced usage
---
## 🎮 Let's Go!
```bash
# Godot
skill-seekers scrape --config configs/godot.json
# Or interactive
skill-seekers scrape --interactive
```
That's it! 🚀

11
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View File

@@ -1,3 +1,14 @@
> ⚠️ **DEPRECATED**: This document contains phantom commands and outdated patterns.
>
> For up-to-date documentation, please see:
> - [Quick Start Guide](getting-started/02-quick-start.md) - 3 commands to first skill
> - [CLI Reference](reference/CLI_REFERENCE.md) - Complete command reference
> - [Documentation Hub](README.md) - All documentation
>
> *This file is kept for historical reference only.*
---
# Quick Reference - Skill Seekers Cheat Sheet
**Version:** 3.1.0-dev | **Quick Commands** | **One-Page Reference**

66
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View File

@@ -0,0 +1,66 @@
# Legacy Documentation Archive
> **Status:** Archived
> **Reason:** Outdated patterns, phantom commands, or superseded by new docs
---
## Archived Files
| File | Reason | Replaced By |
|------|--------|-------------|
| `QUICKSTART.md` | Old CLI patterns | `docs/getting-started/02-quick-start.md` |
| `USAGE.md` | `python3 cli/X.py` pattern | `docs/user-guide/` + `docs/reference/CLI_REFERENCE.md` |
| `QUICK_REFERENCE.md` | Phantom commands | `docs/reference/CLI_REFERENCE.md` |
---
## Why These Were Archived
### QUICKSTART.md
**Issues:**
- Referenced `pip3 install requests beautifulsoup4` instead of `pip install skill-seekers`
- Missing modern commands like `create`
**Use Instead:** [docs/getting-started/02-quick-start.md](../../getting-started/02-quick-start.md)
---
### USAGE.md
**Issues:**
- Used `python3 cli/doc_scraper.py` pattern (removed in v3.x)
- Referenced `python3 cli/enhance_skill_local.py` (now `skill-seekers enhance`)
- Referenced `python3 cli/estimate_pages.py` (now `skill-seekers estimate`)
**Use Instead:**
- [docs/reference/CLI_REFERENCE.md](../../reference/CLI_REFERENCE.md) - Complete command reference
- [docs/user-guide/](../../user-guide/) - Common tasks
---
### QUICK_REFERENCE.md
**Issues:**
- Documented phantom commands like `skill-seekers merge-sources`
- Documented phantom commands like `skill-seekers split-config`
- Documented phantom commands like `skill-seekers generate-router`
**Use Instead:** [docs/reference/CLI_REFERENCE.md](../../reference/CLI_REFERENCE.md)
---
## Current Documentation
For up-to-date documentation, see:
- [docs/README.md](../../README.md) - Documentation hub
- [docs/getting-started/](../../getting-started/) - New user guides
- [docs/user-guide/](../../user-guide/) - Common tasks
- [docs/reference/](../../reference/) - Technical reference
- [docs/advanced/](../../advanced/) - Power user topics
---
*Last archived: 2026-02-16*

11
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View File

@@ -1,3 +1,14 @@
> ⚠️ **DEPRECATED**: This document uses outdated CLI patterns (`python3 cli/X.py`).
>
> For up-to-date documentation, please see:
> - [CLI Reference](../reference/CLI_REFERENCE.md) - Complete command reference
> - [User Guides](../user-guide/) - Common tasks and workflows
> - [Documentation Hub](../README.md) - All documentation
>
> *This file is kept for historical reference only.*
---
# Complete Usage Guide for Skill Seeker
Comprehensive reference for all commands, options, and workflows.

99
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View File

@@ -53,10 +53,11 @@ python3 cli/unified_scraper.py --config configs/react_unified.json
```
The tool will:
1. ✅ **Phase 1**: Scrape all sources (docs + GitHub)
1. ✅ **Phase 1**: Scrape all sources (docs + GitHub + PDF + local)
2. ✅ **Phase 2**: Detect conflicts between sources
3. ✅ **Phase 3**: Merge conflicts intelligently
4. ✅ **Phase 4**: Build unified skill with conflict transparency
5. ✅ **Phase 5**: Apply enhancement workflows (optional)
### 3. Package and Upload
@@ -414,15 +415,88 @@ useEffect(callback: () => void | (() => void), deps?: readonly any[])
```bash
# Basic usage
python3 cli/unified_scraper.py --config configs/react_unified.json
skill-seekers unified --config configs/react_unified.json
# Override merge mode
python3 cli/unified_scraper.py --config configs/react_unified.json --merge-mode claude-enhanced
skill-seekers unified --config configs/react_unified.json --merge-mode claude-enhanced
# Use cached data (skip re-scraping)
python3 cli/unified_scraper.py --config configs/react_unified.json --skip-scrape
# Fresh start (clear cached data)
skill-seekers unified --config configs/react_unified.json --fresh
# Dry run (preview without executing)
skill-seekers unified --config configs/react_unified.json --dry-run
```
### Enhancement Workflow Options
All workflow flags are now supported:
```bash
# Apply workflow preset
skill-seekers unified --config configs/react_unified.json --enhance-workflow security-focus
# Multiple workflows (chained)
skill-seekers unified --config configs/react_unified.json \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
# Custom enhancement stage
skill-seekers unified --config configs/react_unified.json \
--enhance-stage "cleanup:Remove boilerplate content"
# Workflow variables
skill-seekers unified --config configs/react_unified.json \
--enhance-workflow my-workflow \
--var focus_area=performance \
--var detail_level=high
# Preview workflows without executing
skill-seekers unified --config configs/react_unified.json \
--enhance-workflow security-focus \
--workflow-dry-run
```
### Global Enhancement Override
Override enhancement settings from CLI:
```bash
# Override enhance level for all sources
skill-seekers unified --config configs/react_unified.json --enhance-level 3
# Provide API key (or use ANTHROPIC_API_KEY env var)
skill-seekers unified --config configs/react_unified.json --api-key YOUR_API_KEY
```
### Workflow Configuration in JSON
Define workflows directly in your unified config:
```json
{
"name": "react-complete",
"description": "React with security focus",
"merge_mode": "claude-enhanced",
"workflows": ["security-focus"],
"workflow_stages": [
{
"name": "cleanup",
"prompt": "Remove boilerplate and standardize formatting"
}
],
"workflow_vars": {
"focus_area": "security",
"detail_level": "comprehensive"
},
"sources": [
{"type": "documentation", "base_url": "https://react.dev/"},
{"type": "github", "repo": "facebook/react"}
]
}
```
**Priority:** CLI flags override config values.
### Validate Config
```bash
@@ -515,6 +589,7 @@ UnifiedScraper.run()
│ - Documentation → doc_scraper │
│ - GitHub → github_scraper │
│ - PDF → pdf_scraper │
│ - Local → codebase_scraper │
└────────────────────────────────────┘
↓
┌────────────────────────────────────┐
@@ -537,6 +612,13 @@ UnifiedScraper.run()
│ - Generate SKILL.md with conflicts│
│ - Create reference structure │
│ - Generate conflicts report │
└────────────────────────────────────┘
↓
┌────────────────────────────────────┐
│ Phase 5: Enhancement Workflows │
│ - Apply workflow presets │
│ - Run custom enhancement stages │
│ - Variable substitution │
└────────────────────────────────────┘
↓
Unified Skill (.zip ready)
@@ -621,6 +703,13 @@ For issues, questions, or suggestions:
## Changelog
**v3.1.0 (February 2026)**: Enhancement workflow support
- ✅ Full workflow system integration (Phase 5)
- ✅ All workflow flags supported (--enhance-workflow, --enhance-stage, --var, --workflow-dry-run)
- ✅ Workflow configuration in JSON configs
- ✅ Global --enhance-level and --api-key CLI overrides
- ✅ Local source type support (codebase analysis)
**v2.0 (October 2025)**: Unified multi-source scraping feature complete
- ✅ Config validation for unified format
- ✅ Deep code analysis with AST parsing

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@@ -0,0 +1,325 @@
# Installation Guide
> **Skill Seekers v3.1.0**
Get Skill Seekers installed and running in under 5 minutes.
---
## System Requirements
| Requirement | Minimum | Recommended |
|-------------|---------|-------------|
| **Python** | 3.10 | 3.11 or 3.12 |
| **RAM** | 4 GB | 8 GB+ |
| **Disk** | 500 MB | 2 GB+ |
| **OS** | Linux, macOS, Windows (WSL) | Linux, macOS |
---
## Quick Install
### Option 1: pip (Recommended)
```bash
# Basic installation
pip install skill-seekers
# With all platform support
pip install skill-seekers[all-llms]
# Verify installation
skill-seekers --version
```
### Option 2: pipx (Isolated)
```bash
# Install pipx if not available
pip install pipx
pipx ensurepath
# Install skill-seekers
pipx install skill-seekers[all-llms]
```
### Option 3: Development (from source)
```bash
# Clone repository
git clone https://github.com/yusufkaraaslan/Skill_Seekers.git
cd Skill_Seekers
# Install in editable mode
pip install -e ".[all-llms,dev]"
# Verify
skill-seekers --version
```
---
## Installation Options
### Minimal Install
Just the core functionality:
```bash
pip install skill-seekers
```
**Includes:**
- Documentation scraping
- Basic packaging
- Local enhancement (Claude Code)
### Full Install
All features and platforms:
```bash
pip install skill-seekers[all-llms]
```
**Includes:**
- Claude AI support
- Google Gemini support
- OpenAI ChatGPT support
- All vector databases
- MCP server
- Cloud storage (S3, GCS, Azure)
### Custom Install
Install only what you need:
```bash
# Specific platform only
pip install skill-seekers[gemini] # Google Gemini
pip install skill-seekers[openai] # OpenAI
pip install skill-seekers[chroma] # ChromaDB
# Multiple extras
pip install skill-seekers[gemini,openai,chroma]
# Development
pip install skill-seekers[dev]
```
---
## Available Extras
| Extra | Description | Install Command |
|-------|-------------|-----------------|
| `gemini` | Google Gemini support | `pip install skill-seekers[gemini]` |
| `openai` | OpenAI ChatGPT support | `pip install skill-seekers[openai]` |
| `mcp` | MCP server | `pip install skill-seekers[mcp]` |
| `chroma` | ChromaDB export | `pip install skill-seekers[chroma]` |
| `weaviate` | Weaviate export | `pip install skill-seekers[weaviate]` |
| `qdrant` | Qdrant export | `pip install skill-seekers[qdrant]` |
| `faiss` | FAISS export | `pip install skill-seekers[faiss]` |
| `s3` | AWS S3 storage | `pip install skill-seekers[s3]` |
| `gcs` | Google Cloud Storage | `pip install skill-seekers[gcs]` |
| `azure` | Azure Blob Storage | `pip install skill-seekers[azure]` |
| `embedding` | Embedding server | `pip install skill-seekers[embedding]` |
| `all-llms` | All LLM platforms | `pip install skill-seekers[all-llms]` |
| `all` | Everything | `pip install skill-seekers[all]` |
| `dev` | Development tools | `pip install skill-seekers[dev]` |
---
## Post-Installation Setup
### 1. Configure API Keys (Optional)
For AI enhancement and uploads:
```bash
# Interactive configuration wizard
skill-seekers config
# Or set environment variables
export ANTHROPIC_API_KEY=sk-ant-...
export GITHUB_TOKEN=ghp_...
```
### 2. Verify Installation
```bash
# Check version
skill-seekers --version
# See all commands
skill-seekers --help
# Test configuration
skill-seekers config --test
```
### 3. Quick Test
```bash
# List available presets
skill-seekers estimate --all
# Do a dry run
skill-seekers create https://docs.python.org/3/ --dry-run
```
---
## Platform-Specific Notes
### macOS
```bash
# Using Homebrew Python
brew install python@3.12
pip3.12 install skill-seekers[all-llms]
# Or with pyenv
pyenv install 3.12
pyenv global 3.12
pip install skill-seekers[all-llms]
```
### Linux (Ubuntu/Debian)
```bash
# Install Python and pip
sudo apt update
sudo apt install python3-pip python3-venv
# Install skill-seekers
pip3 install skill-seekers[all-llms]
# Make available system-wide
sudo ln -s ~/.local/bin/skill-seekers /usr/local/bin/
```
### Windows
**Recommended:** Use WSL2
```powershell
# Or use Windows directly (PowerShell)
python -m pip install skill-seekers[all-llms]
# Add to PATH if needed
[Environment]::SetEnvironmentVariable("Path", $env:Path + ";$env:APPDATA\Python\Python312\Scripts", "User")
```
### Docker
```bash
# Pull image
docker pull skillseekers/skill-seekers:latest
# Run
docker run -it --rm \
-e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
-v $(pwd)/output:/output \
skillseekers/skill-seekers \
skill-seekers create https://docs.react.dev/
```
---
## Troubleshooting
### "command not found: skill-seekers"
```bash
# Add pip bin to PATH
export PATH="$HOME/.local/bin:$PATH"
# Or reinstall with --user
pip install --user --force-reinstall skill-seekers
```
### Permission denied
```bash
# Don't use sudo with pip
# Instead:
pip install --user skill-seekers
# Or use a virtual environment
python3 -m venv venv
source venv/bin/activate
pip install skill-seekers[all-llms]
```
### Import errors
```bash
# For development installs, ensure editable mode
pip install -e .
# Check installation
python -c "import skill_seekers; print(skill_seekers.__version__)"
```
### Version conflicts
```bash
# Use virtual environment
python3 -m venv skill-seekers-env
source skill-seekers-env/bin/activate
pip install skill-seekers[all-llms]
```
---
## Upgrade
```bash
# Upgrade to latest
pip install --upgrade skill-seekers
# Upgrade with all extras
pip install --upgrade skill-seekers[all-llms]
# Check current version
skill-seekers --version
# See what's new
pip show skill-seekers
```
---
## Uninstall
```bash
pip uninstall skill-seekers
# Clean up config (optional)
rm -rf ~/.config/skill-seekers/
rm -rf ~/.cache/skill-seekers/
```
---
## Next Steps
- [Quick Start Guide](02-quick-start.md) - Create your first skill in 3 commands
- [Your First Skill](03-your-first-skill.md) - Complete walkthrough
---
## Getting Help
```bash
# Command help
skill-seekers --help
skill-seekers create --help
# Documentation
# https://github.com/yusufkaraaslan/Skill_Seekers/tree/main/docs
# Issues
# https://github.com/yusufkaraaslan/Skill_Seekers/issues
```

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@@ -0,0 +1,325 @@
# Quick Start Guide
> **Skill Seekers v3.1.0**
> **Create your first skill in 3 commands**
---
## The 3 Commands
```bash
# 1. Install Skill Seekers
pip install skill-seekers
# 2. Create a skill from any source
skill-seekers create https://docs.django.com/
# 3. Package it for your AI platform
skill-seekers package output/django --target claude
```
**That's it!** You now have `output/django-claude.zip` ready to upload.
---
## What You Can Create From
The `create` command auto-detects your source:
| Source Type | Example Command |
|-------------|-----------------|
| **Documentation** | `skill-seekers create https://docs.react.dev/` |
| **GitHub Repo** | `skill-seekers create facebook/react` |
| **Local Code** | `skill-seekers create ./my-project` |
| **PDF File** | `skill-seekers create manual.pdf` |
| **Config File** | `skill-seekers create configs/custom.json` |
---
## Examples by Source
### Documentation Website
```bash
# React documentation
skill-seekers create https://react.dev/
skill-seekers package output/react --target claude
# Django documentation
skill-seekers create https://docs.djangoproject.com/
skill-seekers package output/django --target claude
```
### GitHub Repository
```bash
# React source code
skill-seekers create facebook/react
skill-seekers package output/react --target claude
# Your own repo
skill-seekers create yourusername/yourrepo
skill-seekers package output/yourrepo --target claude
```
### Local Project
```bash
# Your codebase
skill-seekers create ./my-project
skill-seekers package output/my-project --target claude
# Specific directory
cd ~/projects/my-api
skill-seekers create .
skill-seekers package output/my-api --target claude
```
### PDF Document
```bash
# Technical manual
skill-seekers create manual.pdf --name product-docs
skill-seekers package output/product-docs --target claude
# Research paper
skill-seekers create paper.pdf --name research
skill-seekers package output/research --target claude
```
---
## Common Options
### Specify a Name
```bash
skill-seekers create https://docs.example.com/ --name my-docs
```
### Add Description
```bash
skill-seekers create facebook/react --description "React source code analysis"
```
### Dry Run (Preview)
```bash
skill-seekers create https://docs.react.dev/ --dry-run
```
### Skip Enhancement (Faster)
```bash
skill-seekers create https://docs.react.dev/ --enhance-level 0
```
### Use a Preset
```bash
# Quick analysis (1-2 min)
skill-seekers create ./my-project --preset quick
# Comprehensive analysis (20-60 min)
skill-seekers create ./my-project --preset comprehensive
```
---
## Package for Different Platforms
### Claude AI (Default)
```bash
skill-seekers package output/my-skill/
# Creates: output/my-skill-claude.zip
```
### Google Gemini
```bash
skill-seekers package output/my-skill/ --target gemini
# Creates: output/my-skill-gemini.tar.gz
```
### OpenAI ChatGPT
```bash
skill-seekers package output/my-skill/ --target openai
# Creates: output/my-skill-openai.zip
```
### LangChain
```bash
skill-seekers package output/my-skill/ --target langchain
# Creates: output/my-skill-langchain/ directory
```
### Multiple Platforms
```bash
for platform in claude gemini openai; do
skill-seekers package output/my-skill/ --target $platform
done
```
---
## Upload to Platform
### Upload to Claude
```bash
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers upload output/my-skill-claude.zip --target claude
```
### Upload to Gemini
```bash
export GOOGLE_API_KEY=AIza...
skill-seekers upload output/my-skill-gemini.tar.gz --target gemini
```
### Auto-Upload After Package
```bash
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers package output/my-skill/ --target claude --upload
```
---
## Complete One-Command Workflow
Use `install` for everything in one step:
```bash
# Complete: scrape → enhance → package → upload
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers install --config react --target claude
# Skip upload
skill-seekers install --config react --target claude --no-upload
```
---
## Output Structure
After running `create`, you'll have:
```
output/
├── django/ # The skill
│ ├── SKILL.md # Main skill file
│ ├── references/ # Organized documentation
│ │ ├── index.md
│ │ ├── getting_started.md
│ │ └── api_reference.md
│ └── .skill-seekers/ # Metadata
│
└── django-claude.zip # Packaged skill (after package)
```
---
## Time Estimates
| Source Type | Size | Time |
|-------------|------|------|
| Small docs (< 50 pages) | ~10 MB | 2-5 min |
| Medium docs (50-200 pages) | ~50 MB | 10-20 min |
| Large docs (200-500 pages) | ~200 MB | 30-60 min |
| GitHub repo (< 1000 files) | varies | 5-15 min |
| Local project | varies | 2-10 min |
| PDF (< 100 pages) | ~5 MB | 1-3 min |
*Times include scraping + enhancement (level 2). Use `--enhance-level 0` to skip enhancement.*
---
## Quick Tips
### Test First with Dry Run
```bash
skill-seekers create https://docs.example.com/ --dry-run
```
### Use Presets for Faster Results
```bash
# Quick mode for testing
skill-seekers create https://docs.react.dev/ --preset quick
```
### Skip Enhancement for Speed
```bash
skill-seekers create https://docs.react.dev/ --enhance-level 0
skill-seekers enhance output/react/ # Enhance later
```
### Check Available Configs
```bash
skill-seekers estimate --all
```
### Resume Interrupted Jobs
```bash
skill-seekers resume --list
skill-seekers resume <job-id>
```
---
## Next Steps
- [Your First Skill](03-your-first-skill.md) - Complete walkthrough
- [Core Concepts](../user-guide/01-core-concepts.md) - Understand how it works
- [Scraping Guide](../user-guide/02-scraping.md) - All scraping options
---
## Troubleshooting
### "command not found"
```bash
# Add to PATH
export PATH="$HOME/.local/bin:$PATH"
```
### "No module named 'skill_seekers'"
```bash
# Reinstall
pip install --force-reinstall skill-seekers
```
### Scraping too slow
```bash
# Use async mode
skill-seekers create https://docs.react.dev/ --async --workers 5
```
### Out of memory
```bash
# Use streaming mode
skill-seekers package output/large-skill/ --streaming
```
---
## See Also
- [Installation Guide](01-installation.md) - Detailed installation
- [CLI Reference](../reference/CLI_REFERENCE.md) - All commands
- [Config Format](../reference/CONFIG_FORMAT.md) - Custom configurations

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@@ -0,0 +1,396 @@
# Your First Skill - Complete Walkthrough
> **Skill Seekers v3.1.0**
> **Step-by-step guide to creating your first skill**
---
## What We'll Build
A skill from the **Django documentation** that you can use with Claude AI.
**Time required:** ~15-20 minutes
**Result:** A comprehensive Django skill with ~400 lines of structured documentation
---
## Prerequisites
```bash
# Ensure skill-seekers is installed
skill-seekers --version
# Should output: skill-seekers 3.1.0
```
---
## Step 1: Choose Your Source
For this walkthrough, we'll use Django documentation. You can use any of these:
```bash
# Option A: Django docs (what we'll use)
https://docs.djangoproject.com/
# Option B: React docs
https://react.dev/
# Option C: Your own project
./my-project
# Option D: GitHub repo
facebook/react
```
---
## Step 2: Preview with Dry Run
Before scraping, let's preview what will happen:
```bash
skill-seekers create https://docs.djangoproject.com/ --dry-run
```
**Expected output:**
```
🔍 Dry Run Preview
==================
Source: https://docs.djangoproject.com/
Type: Documentation website
Estimated pages: ~400
Estimated time: 15-20 minutes
Will create:
- output/django/
- output/django/SKILL.md
- output/django/references/
Configuration:
Rate limit: 0.5s
Max pages: 500
Enhancement: Level 2
✅ Preview complete. Run without --dry-run to execute.
```
This shows you exactly what will happen without actually scraping.
---
## Step 3: Create the Skill
Now let's actually create it:
```bash
skill-seekers create https://docs.djangoproject.com/ --name django
```
**What happens:**
1. **Detection** - Recognizes as documentation website
2. **Crawling** - Discovers pages starting from the base URL
3. **Scraping** - Downloads and extracts content (~5-10 min)
4. **Processing** - Organizes into categories
5. **Enhancement** - AI improves SKILL.md quality (~60 sec)
**Progress output:**
```
🚀 Creating skill: django
📍 Source: https://docs.djangoproject.com/
📋 Type: Documentation
⏳ Phase 1/5: Detecting source type...
✅ Detected: Documentation website
⏳ Phase 2/5: Discovering pages...
✅ Discovered: 387 pages
⏳ Phase 3/5: Scraping content...
Progress: [████████████████████░░░░░] 320/387 pages (83%)
Rate: 1.8 pages/sec | ETA: 37 seconds
⏳ Phase 4/5: Processing and categorizing...
✅ Categories: getting_started, models, views, templates, forms, admin, security
⏳ Phase 5/5: AI enhancement (Level 2)...
✅ SKILL.md enhanced: 423 lines
🎉 Skill created successfully!
Location: output/django/
SKILL.md: 423 lines
References: 7 categories, 42 files
⏱️ Total time: 12 minutes 34 seconds
```
---
## Step 4: Explore the Output
Let's see what was created:
```bash
ls -la output/django/
```
**Output:**
```
output/django/
├── .skill-seekers/ # Metadata
│ └── manifest.json
├── SKILL.md # Main skill file ⭐
├── references/ # Organized docs
│ ├── index.md
│ ├── getting_started.md
│ ├── models.md
│ ├── views.md
│ ├── templates.md
│ ├── forms.md
│ ├── admin.md
│ └── security.md
└── assets/ # Images (if any)
```
### View SKILL.md
```bash
head -50 output/django/SKILL.md
```
**You'll see:**
```markdown
# Django Skill
## Overview
Django is a high-level Python web framework that encourages rapid development
and clean, pragmatic design...
## Quick Reference
### Create a Project
```bash
django-admin startproject mysite
```
### Create an App
```bash
python manage.py startapp myapp
```
## Categories
- [Getting Started](#getting-started)
- [Models](#models)
- [Views](#views)
- [Templates](#templates)
- [Forms](#forms)
- [Admin](#admin)
- [Security](#security)
...
```
### Check References
```bash
ls output/django/references/
cat output/django/references/models.md | head -30
```
---
## Step 5: Package for Claude
Now package it for Claude AI:
```bash
skill-seekers package output/django/ --target claude
```
**Output:**
```
📦 Packaging skill: django
🎯 Target: Claude AI
✅ Validated: SKILL.md (423 lines)
✅ Packaged: output/django-claude.zip
📊 Size: 245 KB
Next steps:
1. Upload to Claude: skill-seekers upload output/django-claude.zip
2. Or manually: Use "Create Skill" in Claude Code
```
---
## Step 6: Upload to Claude
### Option A: Auto-Upload
```bash
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers upload output/django-claude.zip --target claude
```
### Option B: Manual Upload
1. Open [Claude Code](https://claude.ai/code) or Claude Desktop
2. Go to "Skills" or "Projects"
3. Click "Create Skill" or "Upload"
4. Select `output/django-claude.zip`
---
## Step 7: Use Your Skill
Once uploaded, you can ask Claude:
```
"How do I create a Django model with foreign keys?"
"Show me how to use class-based views"
"What's the best way to handle forms in Django?"
"Explain Django's ORM query optimization"
```
Claude will use your skill to provide accurate, contextual answers.
---
## Alternative: Skip Enhancement for Speed
If you want faster results (no AI enhancement):
```bash
# Create without enhancement
skill-seekers create https://docs.djangoproject.com/ --name django --enhance-level 0
# Package
skill-seekers package output/django/ --target claude
# Enhances later if needed
skill-seekers enhance output/django/
```
---
## Alternative: Use a Preset Config
Instead of auto-detection, use a preset:
```bash
# See available presets
skill-seekers estimate --all
# Use Django preset
skill-seekers create --config django
skill-seekers package output/django/ --target claude
```
---
## What You Learned
✅ **Create** - `skill-seekers create <source>` auto-detects and scrapes
✅ **Dry Run** - `--dry-run` previews without executing
✅ **Enhancement** - AI automatically improves SKILL.md quality
✅ **Package** - `skill-seekers package <dir> --target <platform>`
✅ **Upload** - Direct upload or manual import
---
## Common Variations
### GitHub Repository
```bash
skill-seekers create facebook/react --name react
skill-seekers package output/react/ --target claude
```
### Local Project
```bash
cd ~/projects/my-api
skill-seekers create . --name my-api
skill-seekers package output/my-api/ --target claude
```
### PDF Document
```bash
skill-seekers create manual.pdf --name docs
skill-seekers package output/docs/ --target claude
```
### Multi-Platform
```bash
# Create once
skill-seekers create https://docs.djangoproject.com/ --name django
# Package for multiple platforms
skill-seekers package output/django/ --target claude
skill-seekers package output/django/ --target gemini
skill-seekers package output/django/ --target openai
# Upload to each
skill-seekers upload output/django-claude.zip --target claude
skill-seekers upload output/django-gemini.tar.gz --target gemini
```
---
## Troubleshooting
### Scraping Interrupted
```bash
# Resume from checkpoint
skill-seekers resume --list
skill-seekers resume <job-id>
```
### Too Many Pages
```bash
# Limit pages
skill-seekers create https://docs.djangoproject.com/ --max-pages 100
```
### Wrong Content Extracted
```bash
# Use custom config with selectors
cat > configs/django.json << 'EOF'
{
"name": "django",
"base_url": "https://docs.djangoproject.com/",
"selectors": {
"main_content": "#docs-content"
}
}
EOF
skill-seekers create --config configs/django.json
```
---
## Next Steps
- [Next Steps](04-next-steps.md) - Where to go from here
- [Core Concepts](../user-guide/01-core-concepts.md) - Understand the system
- [Scraping Guide](../user-guide/02-scraping.md) - Advanced scraping options
- [Enhancement Guide](../user-guide/03-enhancement.md) - AI enhancement deep dive
---
## Summary
| Step | Command | Time |
|------|---------|------|
| 1 | `skill-seekers create https://docs.djangoproject.com/` | ~15 min |
| 2 | `skill-seekers package output/django/ --target claude` | ~5 sec |
| 3 | `skill-seekers upload output/django-claude.zip` | ~10 sec |
**Total:** ~15 minutes to a production-ready AI skill! 🎉

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# Next Steps
> **Skill Seekers v3.1.0**
> **Where to go after creating your first skill**
---
## You've Created Your First Skill! 🎉
Now what? Here's your roadmap to becoming a Skill Seekers power user.
---
## Immediate Next Steps
### 1. Try Different Sources
You've done documentation. Now try:
```bash
# GitHub repository
skill-seekers create facebook/react --name react
# Local project
skill-seekers create ./my-project --name my-project
# PDF document
skill-seekers create manual.pdf --name manual
```
### 2. Package for Multiple Platforms
Your skill works everywhere:
```bash
# Create once
skill-seekers create https://docs.djangoproject.com/ --name django
# Package for all platforms
for platform in claude gemini openai langchain; do
skill-seekers package output/django/ --target $platform
done
```
### 3. Explore Enhancement Workflows
```bash
# See available workflows
skill-seekers workflows list
# Apply security-focused analysis
skill-seekers create ./my-project --enhance-workflow security-focus
# Chain multiple workflows
skill-seekers create ./my-project \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
```
---
## Learning Path
### Beginner (You Are Here)
✅ Created your first skill
⬜ Try different source types
⬜ Package for multiple platforms
⬜ Use preset configs
**Resources:**
- [Core Concepts](../user-guide/01-core-concepts.md)
- [Scraping Guide](../user-guide/02-scraping.md)
- [Packaging Guide](../user-guide/04-packaging.md)
### Intermediate
⬜ Custom configurations
⬜ Multi-source scraping
⬜ Enhancement workflows
⬜ Vector database export
⬜ MCP server setup
**Resources:**
- [Config Format](../reference/CONFIG_FORMAT.md)
- [Enhancement Guide](../user-guide/03-enhancement.md)
- [Advanced: Multi-Source](../advanced/multi-source.md)
- [Advanced: MCP Server](../advanced/mcp-server.md)
### Advanced
⬜ Custom workflow creation
⬜ Integration with CI/CD
⬜ API programmatic usage
⬜ Contributing to project
**Resources:**
- [Advanced: Custom Workflows](../advanced/custom-workflows.md)
- [MCP Reference](../reference/MCP_REFERENCE.md)
- [API Reference](../advanced/api-reference.md)
- [Contributing Guide](../../CONTRIBUTING.md)
---
## Common Use Cases
### Use Case 1: Team Documentation
**Goal:** Create skills for all your team's frameworks
```bash
# Create a script
for framework in django react vue fastapi; do
echo "Processing $framework..."
skill-seekers install --config $framework --target claude
done
```
### Use Case 2: GitHub Repository Analysis
**Goal:** Analyze your codebase for AI assistance
```bash
# Analyze your repo
skill-seekers create your-org/your-repo --preset comprehensive
# Install to Cursor for coding assistance
skill-seekers install-agent output/your-repo/ --agent cursor
```
### Use Case 3: RAG Pipeline
**Goal:** Feed documentation into vector database
```bash
# Create skill
skill-seekers create https://docs.djangoproject.com/ --name django
# Export to ChromaDB
skill-seekers package output/django/ --target chroma
# Or export directly
export_to_chroma(skill_directory="output/django/")
```
### Use Case 4: Documentation Monitoring
**Goal:** Keep skills up-to-date automatically
```bash
# Check for updates
skill-seekers update --config django --check-only
# Update if changed
skill-seekers update --config django
```
---
## By Interest Area
### For AI Skill Builders
Building skills for Claude, Gemini, or ChatGPT?
**Learn:**
- Enhancement workflows for better quality
- Multi-source combining for comprehensive skills
- Quality scoring before upload
**Commands:**
```bash
skill-seekers quality output/my-skill/ --report
skill-seekers create ./my-project --enhance-workflow architecture-comprehensive
```
### For RAG Engineers
Building retrieval-augmented generation systems?
**Learn:**
- Vector database exports (Chroma, Weaviate, Qdrant, FAISS)
- Chunking strategies
- Embedding integration
**Commands:**
```bash
skill-seekers package output/my-skill/ --target chroma
skill-seekers package output/my-skill/ --target weaviate
skill-seekers package output/my-skill/ --target langchain
```
### For AI Coding Assistant Users
Using Cursor, Windsurf, or Cline?
**Learn:**
- Local codebase analysis
- Agent installation
- Pattern detection
**Commands:**
```bash
skill-seekers create ./my-project --preset comprehensive
skill-seekers install-agent output/my-project/ --agent cursor
```
### For DevOps/SRE
Automating documentation workflows?
**Learn:**
- CI/CD integration
- MCP server setup
- Config sources
**Commands:**
```bash
# Start MCP server
skill-seekers-mcp --transport http --port 8765
# Add config source
skill-seekers workflows add-config-source my-org https://github.com/my-org/configs
```
---
## Recommended Reading Order
### Quick Reference (5 minutes each)
1. [CLI Reference](../reference/CLI_REFERENCE.md) - All commands
2. [Config Format](../reference/CONFIG_FORMAT.md) - JSON specification
3. [Environment Variables](../reference/ENVIRONMENT_VARIABLES.md) - Settings
### User Guides (10-15 minutes each)
1. [Core Concepts](../user-guide/01-core-concepts.md) - How it works
2. [Scraping Guide](../user-guide/02-scraping.md) - Source options
3. [Enhancement Guide](../user-guide/03-enhancement.md) - AI options
4. [Workflows Guide](../user-guide/05-workflows.md) - Preset workflows
5. [Troubleshooting](../user-guide/06-troubleshooting.md) - Common issues
### Advanced Topics (20+ minutes each)
1. [Multi-Source Scraping](../advanced/multi-source.md)
2. [MCP Server Setup](../advanced/mcp-server.md)
3. [Custom Workflows](../advanced/custom-workflows.md)
4. [API Reference](../advanced/api-reference.md)
---
## Join the Community
### Get Help
- **GitHub Issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
- **Discussions:** Share use cases and get advice
- **Discord:** [Link in README]
### Contribute
- **Bug reports:** Help improve the project
- **Feature requests:** Suggest new capabilities
- **Documentation:** Improve these docs
- **Code:** Submit PRs
See [Contributing Guide](../../CONTRIBUTING.md)
### Stay Updated
- **Watch** the GitHub repository
- **Star** the project
- **Follow** on Twitter: @_yUSyUS_
---
## Quick Command Reference
```bash
# Core workflow
skill-seekers create <source> # Create skill
skill-seekers package <dir> --target <p> # Package
skill-seekers upload <file> --target <p> # Upload
# Analysis
skill-seekers analyze --directory <dir> # Local codebase
skill-seekers github --repo <owner/repo> # GitHub repo
skill-seekers pdf --pdf <file> # PDF
# Utilities
skill-seekers estimate <config> # Page estimation
skill-seekers quality <dir> # Quality check
skill-seekers resume # Resume job
skill-seekers workflows list # List workflows
# MCP server
skill-seekers-mcp # Start MCP server
```
---
## Remember
- **Start simple** - Use `create` with defaults
- **Dry run first** - Use `--dry-run` to preview
- **Iterate** - Enhance, package, test, repeat
- **Share** - Package for multiple platforms
- **Automate** - Use `install` for one-command workflows
---
## You're Ready!
Go build something amazing. The documentation is your oyster. 🦪
```bash
# Your next skill awaits
skill-seekers create <your-source-here>
```

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# Config Format Reference - Skill Seekers
> **Version:** 3.1.0
> **Last Updated:** 2026-02-16
> **Complete JSON configuration specification**
---
## Table of Contents
- [Overview](#overview)
- [Single-Source Config](#single-source-config)
- [Documentation Source](#documentation-source)
- [GitHub Source](#github-source)
- [PDF Source](#pdf-source)
- [Local Source](#local-source)
- [Unified (Multi-Source) Config](#unified-multi-source-config)
- [Common Fields](#common-fields)
- [Selectors](#selectors)
- [Categories](#categories)
- [URL Patterns](#url-patterns)
- [Examples](#examples)
---
## Overview
Skill Seekers uses JSON configuration files to define scraping targets. There are two types:
| Type | Use Case | File |
|------|----------|------|
| **Single-Source** | One source (docs, GitHub, PDF, or local) | `*.json` |
| **Unified** | Multiple sources combined | `*-unified.json` |
---
## Single-Source Config
### Documentation Source
For scraping documentation websites.
```json
{
"name": "react",
"base_url": "https://react.dev/",
"description": "React - JavaScript library for building UIs",
"start_urls": [
"https://react.dev/learn",
"https://react.dev/reference/react"
],
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code"
},
"url_patterns": {
"include": ["/learn/", "/reference/"],
"exclude": ["/blog/", "/community/"]
},
"categories": {
"getting_started": ["learn", "tutorial", "intro"],
"api": ["reference", "api", "hooks"]
},
"rate_limit": 0.5,
"max_pages": 300,
"merge_mode": "claude-enhanced"
}
```
#### Documentation Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Skill name (alphanumeric, dashes, underscores) |
| `base_url` | string | Yes | - | Base documentation URL |
| `description` | string | No | "" | Skill description for SKILL.md |
| `start_urls` | array | No | `[base_url]` | URLs to start crawling from |
| `selectors` | object | No | see below | CSS selectors for content extraction |
| `url_patterns` | object | No | `{}` | Include/exclude URL patterns |
| `categories` | object | No | `{}` | Content categorization rules |
| `rate_limit` | number | No | 0.5 | Seconds between requests |
| `max_pages` | number | No | 500 | Maximum pages to scrape |
| `merge_mode` | string | No | "claude-enhanced" | Merge strategy |
| `extract_api` | boolean | No | false | Extract API references |
| `llms_txt_url` | string | No | auto | Path to llms.txt file |
---
### GitHub Source
For analyzing GitHub repositories.
```json
{
"name": "react-github",
"type": "github",
"repo": "facebook/react",
"description": "React GitHub repository analysis",
"enable_codebase_analysis": true,
"code_analysis_depth": "deep",
"fetch_issues": true,
"max_issues": 100,
"issue_labels": ["bug", "enhancement"],
"fetch_releases": true,
"max_releases": 20,
"fetch_changelog": true,
"analyze_commit_history": true,
"file_patterns": ["*.js", "*.ts", "*.tsx"],
"exclude_patterns": ["*.test.js", "node_modules/**"],
"rate_limit": 1.0
}
```
#### GitHub Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Skill name |
| `type` | string | Yes | - | Must be `"github"` |
| `repo` | string | Yes | - | Repository in `owner/repo` format |
| `description` | string | No | "" | Skill description |
| `enable_codebase_analysis` | boolean | No | true | Analyze source code |
| `code_analysis_depth` | string | No | "standard" | `surface`, `standard`, `deep` |
| `fetch_issues` | boolean | No | true | Fetch GitHub issues |
| `max_issues` | number | No | 100 | Maximum issues to fetch |
| `issue_labels` | array | No | [] | Filter by labels |
| `fetch_releases` | boolean | No | true | Fetch releases |
| `max_releases` | number | No | 20 | Maximum releases |
| `fetch_changelog` | boolean | No | true | Extract CHANGELOG |
| `analyze_commit_history` | boolean | No | false | Analyze commits |
| `file_patterns` | array | No | [] | Include file patterns |
| `exclude_patterns` | array | No | [] | Exclude file patterns |
---
### PDF Source
For extracting content from PDF files.
```json
{
"name": "product-manual",
"type": "pdf",
"pdf_path": "docs/manual.pdf",
"description": "Product documentation manual",
"enable_ocr": false,
"password": "",
"extract_images": true,
"image_output_dir": "output/images/",
"extract_tables": true,
"table_format": "markdown",
"page_range": [1, 100],
"split_by_chapters": true,
"chunk_size": 1000,
"chunk_overlap": 100
}
```
#### PDF Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Skill name |
| `type` | string | Yes | - | Must be `"pdf"` |
| `pdf_path` | string | Yes | - | Path to PDF file |
| `description` | string | No | "" | Skill description |
| `enable_ocr` | boolean | No | false | OCR for scanned PDFs |
| `password` | string | No | "" | PDF password if encrypted |
| `extract_images` | boolean | No | false | Extract embedded images |
| `image_output_dir` | string | No | auto | Directory for images |
| `extract_tables` | boolean | No | false | Extract tables |
| `table_format` | string | No | "markdown" | `markdown`, `json`, `csv` |
| `page_range` | array | No | all | `[start, end]` page range |
| `split_by_chapters` | boolean | No | false | Split by detected chapters |
| `chunk_size` | number | No | 1000 | Characters per chunk |
| `chunk_overlap` | number | No | 100 | Overlap between chunks |
---
### Local Source
For analyzing local codebases.
```json
{
"name": "my-project",
"type": "local",
"directory": "./my-project",
"description": "Local project analysis",
"languages": ["Python", "JavaScript"],
"file_patterns": ["*.py", "*.js"],
"exclude_patterns": ["*.pyc", "node_modules/**", ".git/**"],
"analysis_depth": "comprehensive",
"extract_api": true,
"extract_patterns": true,
"extract_test_examples": true,
"extract_how_to_guides": true,
"extract_config_patterns": true,
"include_comments": true,
"include_docstrings": true,
"include_readme": true
}
```
#### Local Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Skill name |
| `type` | string | Yes | - | Must be `"local"` |
| `directory` | string | Yes | - | Path to directory |
| `description` | string | No | "" | Skill description |
| `languages` | array | No | auto | Languages to analyze |
| `file_patterns` | array | No | all | Include patterns |
| `exclude_patterns` | array | No | common | Exclude patterns |
| `analysis_depth` | string | No | "standard" | `quick`, `standard`, `comprehensive` |
| `extract_api` | boolean | No | true | Extract API documentation |
| `extract_patterns` | boolean | No | true | Detect patterns |
| `extract_test_examples` | boolean | No | true | Extract test examples |
| `extract_how_to_guides` | boolean | No | true | Generate guides |
| `extract_config_patterns` | boolean | No | true | Extract config patterns |
| `include_comments` | boolean | No | true | Include code comments |
| `include_docstrings` | boolean | No | true | Include docstrings |
| `include_readme` | boolean | No | true | Include README |
---
## Unified (Multi-Source) Config
Combine multiple sources into one skill with conflict detection.
```json
{
"name": "react-complete",
"description": "React docs + GitHub + examples",
"merge_mode": "claude-enhanced",
"sources": [
{
"type": "docs",
"name": "react-docs",
"base_url": "https://react.dev/",
"max_pages": 200,
"categories": {
"getting_started": ["learn"],
"api": ["reference"]
}
},
{
"type": "github",
"name": "react-github",
"repo": "facebook/react",
"fetch_issues": true,
"max_issues": 50
},
{
"type": "pdf",
"name": "react-cheatsheet",
"pdf_path": "docs/react-cheatsheet.pdf"
},
{
"type": "local",
"name": "react-examples",
"directory": "./react-examples"
}
],
"conflict_detection": {
"enabled": true,
"rules": [
{
"field": "api_signature",
"action": "flag_mismatch"
}
]
},
"output_structure": {
"group_by_source": false,
"cross_reference": true
}
}
```
#### Unified Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Combined skill name |
| `description` | string | No | "" | Skill description |
| `merge_mode` | string | No | "claude-enhanced" | `rule-based`, `claude-enhanced` |
| `sources` | array | Yes | - | List of source configs |
| `conflict_detection` | object | No | `{}` | Conflict detection settings |
| `output_structure` | object | No | `{}` | Output organization |
| `workflows` | array | No | `[]` | Workflow presets to apply |
| `workflow_stages` | array | No | `[]` | Inline enhancement stages |
| `workflow_vars` | object | No | `{}` | Workflow variable overrides |
| `workflow_dry_run` | boolean | No | `false` | Preview workflows without executing |
#### Workflow Configuration (Unified)
Unified configs support defining enhancement workflows at the top level:
```json
{
"name": "react-complete",
"description": "React docs + GitHub with security enhancement",
"merge_mode": "claude-enhanced",
"workflows": ["security-focus", "api-documentation"],
"workflow_stages": [
{
"name": "cleanup",
"prompt": "Remove boilerplate sections and standardize formatting"
}
],
"workflow_vars": {
"focus_area": "performance",
"detail_level": "comprehensive"
},
"sources": [
{"type": "docs", "base_url": "https://react.dev/"},
{"type": "github", "repo": "facebook/react"}
]
}
```
**Workflow Fields:**
| Field | Type | Description |
|-------|------|-------------|
| `workflows` | array | List of workflow preset names to apply |
| `workflow_stages` | array | Inline stages with `name` and `prompt` |
| `workflow_vars` | object | Key-value pairs for workflow variables |
| `workflow_dry_run` | boolean | Preview workflows without executing |
**Note:** CLI flags override config values (CLI takes precedence).
#### Source Types in Unified Config
Each source in the `sources` array can be:
| Type | Required Fields |
|------|-----------------|
| `docs` | `base_url` |
| `github` | `repo` |
| `pdf` | `pdf_path` |
| `local` | `directory` |
---
## Common Fields
Fields available in all config types:
| Field | Type | Description |
|-------|------|-------------|
| `name` | string | Skill identifier (letters, numbers, dashes, underscores) |
| `description` | string | Human-readable description |
| `rate_limit` | number | Delay between requests in seconds |
| `output_dir` | string | Custom output directory |
| `skip_scrape` | boolean | Use existing data |
| `enhance_level` | number | 0=off, 1=SKILL.md, 2=+config, 3=full |
---
## Selectors
CSS selectors for content extraction from HTML:
```json
{
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code",
"navigation": "nav.sidebar",
"breadcrumbs": "nav[aria-label='breadcrumb']",
"next_page": "a[rel='next']",
"prev_page": "a[rel='prev']"
}
}
```
### Default Selectors
If not specified, these defaults are used:
| Element | Default Selector |
|---------|-----------------|
| `main_content` | `article, main, .content, #content, [role='main']` |
| `title` | `h1, .page-title, title` |
| `code_blocks` | `pre code, code[class*="language-"]` |
| `navigation` | `nav, .sidebar, .toc` |
---
## Categories
Map URL patterns to content categories:
```json
{
"categories": {
"getting_started": [
"intro", "tutorial", "quickstart",
"installation", "getting-started"
],
"core_concepts": [
"concept", "fundamental", "architecture",
"principle", "overview"
],
"api_reference": [
"reference", "api", "method", "function",
"class", "interface", "type"
],
"guides": [
"guide", "how-to", "example", "recipe",
"pattern", "best-practice"
],
"advanced": [
"advanced", "expert", "performance",
"optimization", "internals"
]
}
}
```
Categories appear as sections in the generated SKILL.md.
---
## URL Patterns
Control which URLs are included or excluded:
```json
{
"url_patterns": {
"include": [
"/docs/",
"/guide/",
"/api/",
"/reference/"
],
"exclude": [
"/blog/",
"/news/",
"/community/",
"/search",
"?print=1",
"/_static/",
"/_images/"
]
}
}
```
### Pattern Rules
- Patterns are matched against the URL path
- Use `*` for wildcards: `/api/v*/`
- Use `**` for recursive: `/docs/**/*.html`
- Exclude takes precedence over include
---
## Examples
### React Documentation
```json
{
"name": "react",
"base_url": "https://react.dev/",
"description": "React - JavaScript library for building UIs",
"start_urls": [
"https://react.dev/learn",
"https://react.dev/reference/react",
"https://react.dev/reference/react-dom"
],
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code"
},
"url_patterns": {
"include": ["/learn/", "/reference/", "/blog/"],
"exclude": ["/community/", "/search"]
},
"categories": {
"getting_started": ["learn", "tutorial"],
"api": ["reference", "api"],
"blog": ["blog"]
},
"rate_limit": 0.5,
"max_pages": 300
}
```
### Django GitHub
```json
{
"name": "django-github",
"type": "github",
"repo": "django/django",
"description": "Django web framework source code",
"enable_codebase_analysis": true,
"code_analysis_depth": "deep",
"fetch_issues": true,
"max_issues": 100,
"fetch_releases": true,
"file_patterns": ["*.py"],
"exclude_patterns": ["tests/**", "docs/**"]
}
```
### Unified Multi-Source
```json
{
"name": "godot-complete",
"description": "Godot Engine - docs, source, and manual",
"merge_mode": "claude-enhanced",
"sources": [
{
"type": "docs",
"name": "godot-docs",
"base_url": "https://docs.godotengine.org/en/stable/",
"max_pages": 500
},
{
"type": "github",
"name": "godot-source",
"repo": "godotengine/godot",
"fetch_issues": false
},
{
"type": "pdf",
"name": "godot-manual",
"pdf_path": "docs/godot-manual.pdf"
}
]
}
```
### Local Project
```json
{
"name": "my-api",
"type": "local",
"directory": "./my-api-project",
"description": "My REST API implementation",
"languages": ["Python"],
"file_patterns": ["*.py"],
"exclude_patterns": ["tests/**", "migrations/**"],
"analysis_depth": "comprehensive",
"extract_api": true,
"extract_test_examples": true
}
```
---
## Validation
Validate your config before scraping:
```bash
# Using CLI
skill-seekers scrape --config my-config.json --dry-run
# Using MCP tool
validate_config({"config": "my-config.json"})
```
---
## See Also
- [CLI Reference](CLI_REFERENCE.md) - Command reference
- [Environment Variables](ENVIRONMENT_VARIABLES.md) - Configuration environment
---
*For more examples, see `configs/` directory in the repository*

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# Environment Variables Reference - Skill Seekers
> **Version:** 3.1.0
> **Last Updated:** 2026-02-16
> **Complete environment variable reference**
---
## Table of Contents
- [Overview](#overview)
- [API Keys](#api-keys)
- [Platform Configuration](#platform-configuration)
- [Paths and Directories](#paths-and-directories)
- [Scraping Behavior](#scraping-behavior)
- [Enhancement Settings](#enhancement-settings)
- [GitHub Configuration](#github-configuration)
- [Vector Database Settings](#vector-database-settings)
- [Debug and Development](#debug-and-development)
- [MCP Server Settings](#mcp-server-settings)
- [Examples](#examples)
---
## Overview
Skill Seekers uses environment variables for:
- API authentication (Claude, Gemini, OpenAI, GitHub)
- Configuration paths
- Output directories
- Behavior customization
- Debug settings
Variables are read at runtime and override default settings.
---
## API Keys
### ANTHROPIC_API_KEY
**Purpose:** Claude AI API access for enhancement and upload.
**Format:** `sk-ant-api03-...`
**Used by:**
- `skill-seekers enhance` (API mode)
- `skill-seekers upload` (Claude target)
- AI enhancement features
**Example:**
```bash
export ANTHROPIC_API_KEY=sk-ant-api03-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
**Alternative:** Use `--api-key` flag per command.
---
### GOOGLE_API_KEY
**Purpose:** Google Gemini API access for upload.
**Format:** `AIza...`
**Used by:**
- `skill-seekers upload` (Gemini target)
**Example:**
```bash
export GOOGLE_API_KEY=AIzaSyxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
---
### OPENAI_API_KEY
**Purpose:** OpenAI API access for upload and embeddings.
**Format:** `sk-...`
**Used by:**
- `skill-seekers upload` (OpenAI target)
- Embedding generation for vector DBs
**Example:**
```bash
export OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
---
### GITHUB_TOKEN
**Purpose:** GitHub API authentication for higher rate limits.
**Format:** `ghp_...` (personal access token) or `github_pat_...` (fine-grained)
**Used by:**
- `skill-seekers github`
- `skill-seekers unified` (GitHub sources)
- `skill-seekers analyze` (GitHub repos)
**Benefits:**
- 5000 requests/hour vs 60 for unauthenticated
- Access to private repositories
- Higher GraphQL API limits
**Example:**
```bash
export GITHUB_TOKEN=ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
**Create token:** https://github.com/settings/tokens
---
## Platform Configuration
### ANTHROPIC_BASE_URL
**Purpose:** Custom Claude API endpoint.
**Default:** `https://api.anthropic.com`
**Use case:** Proxy servers, enterprise deployments, regional endpoints.
**Example:**
```bash
export ANTHROPIC_BASE_URL=https://custom-api.example.com
```
---
## Paths and Directories
### SKILL_SEEKERS_HOME
**Purpose:** Base directory for Skill Seekers data.
**Default:**
- Linux/macOS: `~/.config/skill-seekers/`
- Windows: `%APPDATA%\skill-seekers\`
**Used for:**
- Configuration files
- Workflow presets
- Cache data
- Checkpoints
**Example:**
```bash
export SKILL_SEEKERS_HOME=/opt/skill-seekers
```
---
### SKILL_SEEKERS_OUTPUT
**Purpose:** Default output directory for skills.
**Default:** `./output/`
**Used by:**
- All scraping commands
- Package output
- Skill generation
**Example:**
```bash
export SKILL_SEEKERS_OUTPUT=/var/skills/output
```
---
### SKILL_SEEKERS_CONFIG_DIR
**Purpose:** Directory containing preset configs.
**Default:** `configs/` (relative to working directory)
**Example:**
```bash
export SKILL_SEEKERS_CONFIG_DIR=/etc/skill-seekers/configs
```
---
## Scraping Behavior
### SKILL_SEEKERS_RATE_LIMIT
**Purpose:** Default rate limit for HTTP requests.
**Default:** `0.5` (seconds)
**Unit:** Seconds between requests
**Example:**
```bash
# More aggressive (faster)
export SKILL_SEEKERS_RATE_LIMIT=0.2
# More conservative (slower)
export SKILL_SEEKERS_RATE_LIMIT=1.0
```
**Override:** Use `--rate-limit` flag per command.
---
### SKILL_SEEKERS_MAX_PAGES
**Purpose:** Default maximum pages to scrape.
**Default:** `500`
**Example:**
```bash
export SKILL_SEEKERS_MAX_PAGES=1000
```
**Override:** Use `--max-pages` flag or config file.
---
### SKILL_SEEKERS_WORKERS
**Purpose:** Default number of parallel workers.
**Default:** `1`
**Maximum:** `10`
**Example:**
```bash
export SKILL_SEEKERS_WORKERS=4
```
**Override:** Use `--workers` flag.
---
### SKILL_SEEKERS_TIMEOUT
**Purpose:** HTTP request timeout.
**Default:** `30` (seconds)
**Example:**
```bash
# For slow servers
export SKILL_SEEKERS_TIMEOUT=60
```
---
### SKILL_SEEKERS_USER_AGENT
**Purpose:** Custom User-Agent header.
**Default:** `Skill-Seekers/3.1.0`
**Example:**
```bash
export SKILL_SEEKERS_USER_AGENT="MyBot/1.0 (contact@example.com)"
```
---
## Enhancement Settings
### SKILL_SEEKER_AGENT
**Purpose:** Default local coding agent for enhancement.
**Default:** `claude`
**Options:** `claude`, `cursor`, `windsurf`, `cline`, `continue`
**Used by:**
- `skill-seekers enhance`
**Example:**
```bash
export SKILL_SEEKER_AGENT=cursor
```
---
### SKILL_SEEKERS_ENHANCE_TIMEOUT
**Purpose:** Timeout for AI enhancement operations.
**Default:** `600` (seconds = 10 minutes)
**Example:**
```bash
# For large skills
export SKILL_SEEKERS_ENHANCE_TIMEOUT=1200
```
**Override:** Use `--timeout` flag.
---
### ANTHROPIC_MODEL
**Purpose:** Claude model for API enhancement.
**Default:** `claude-3-5-sonnet-20241022`
**Options:**
- `claude-3-5-sonnet-20241022` (recommended)
- `claude-3-opus-20240229` (highest quality, more expensive)
- `claude-3-haiku-20240307` (fastest, cheapest)
**Example:**
```bash
export ANTHROPIC_MODEL=claude-3-opus-20240229
```
---
## GitHub Configuration
### GITHUB_API_URL
**Purpose:** Custom GitHub API endpoint.
**Default:** `https://api.github.com`
**Use case:** GitHub Enterprise Server.
**Example:**
```bash
export GITHUB_API_URL=https://github.company.com/api/v3
```
---
### GITHUB_ENTERPRISE_TOKEN
**Purpose:** Separate token for GitHub Enterprise.
**Use case:** Different tokens for github.com vs enterprise.
**Example:**
```bash
export GITHUB_TOKEN=ghp_... # github.com
export GITHUB_ENTERPRISE_TOKEN=... # enterprise
```
---
## Vector Database Settings
### CHROMA_URL
**Purpose:** ChromaDB server URL.
**Default:** `http://localhost:8000`
**Used by:**
- `skill-seekers upload --target chroma`
- `export_to_chroma` MCP tool
**Example:**
```bash
export CHROMA_URL=http://chroma.example.com:8000
```
---
### CHROMA_PERSIST_DIRECTORY
**Purpose:** Local directory for ChromaDB persistence.
**Default:** `./chroma_db/`
**Example:**
```bash
export CHROMA_PERSIST_DIRECTORY=/var/lib/chroma
```
---
### WEAVIATE_URL
**Purpose:** Weaviate server URL.
**Default:** `http://localhost:8080`
**Used by:**
- `skill-seekers upload --target weaviate`
- `export_to_weaviate` MCP tool
**Example:**
```bash
export WEAVIATE_URL=https://weaviate.example.com
```
---
### WEAVIATE_API_KEY
**Purpose:** Weaviate API key for authentication.
**Used by:**
- Weaviate Cloud
- Authenticated Weaviate instances
**Example:**
```bash
export WEAVIATE_API_KEY=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
```
---
### QDRANT_URL
**Purpose:** Qdrant server URL.
**Default:** `http://localhost:6333`
**Example:**
```bash
export QDRANT_URL=http://qdrant.example.com:6333
```
---
### QDRANT_API_KEY
**Purpose:** Qdrant API key for authentication.
**Example:**
```bash
export QDRANT_API_KEY=xxxxxxxxxxxxxxxx
```
---
## Debug and Development
### SKILL_SEEKERS_DEBUG
**Purpose:** Enable debug logging.
**Values:** `1`, `true`, `yes`
**Equivalent to:** `--verbose` flag
**Example:**
```bash
export SKILL_SEEKERS_DEBUG=1
```
---
### SKILL_SEEKERS_LOG_LEVEL
**Purpose:** Set logging level.
**Default:** `INFO`
**Options:** `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`
**Example:**
```bash
export SKILL_SEEKERS_LOG_LEVEL=DEBUG
```
---
### SKILL_SEEKERS_LOG_FILE
**Purpose:** Log to file instead of stdout.
**Example:**
```bash
export SKILL_SEEKERS_LOG_FILE=/var/log/skill-seekers.log
```
---
### SKILL_SEEKERS_CACHE_DIR
**Purpose:** Custom cache directory.
**Default:** `~/.cache/skill-seekers/`
**Example:**
```bash
export SKILL_SEEKERS_CACHE_DIR=/tmp/skill-seekers-cache
```
---
### SKILL_SEEKERS_NO_CACHE
**Purpose:** Disable caching.
**Values:** `1`, `true`, `yes`
**Example:**
```bash
export SKILL_SEEKERS_NO_CACHE=1
```
---
## MCP Server Settings
### MCP_TRANSPORT
**Purpose:** Default MCP transport mode.
**Default:** `stdio`
**Options:** `stdio`, `http`
**Example:**
```bash
export MCP_TRANSPORT=http
```
**Override:** Use `--transport` flag.
---
### MCP_PORT
**Purpose:** Default MCP HTTP port.
**Default:** `8765`
**Example:**
```bash
export MCP_PORT=8080
```
**Override:** Use `--port` flag.
---
### MCP_HOST
**Purpose:** Default MCP HTTP host.
**Default:** `127.0.0.1`
**Example:**
```bash
export MCP_HOST=0.0.0.0
```
**Override:** Use `--host` flag.
---
## Examples
### Development Environment
```bash
# Debug mode
export SKILL_SEEKERS_DEBUG=1
export SKILL_SEEKERS_LOG_LEVEL=DEBUG
# Custom paths
export SKILL_SEEKERS_HOME=./.skill-seekers
export SKILL_SEEKERS_OUTPUT=./output
# Faster scraping for testing
export SKILL_SEEKERS_RATE_LIMIT=0.1
export SKILL_SEEKERS_MAX_PAGES=50
```
### Production Environment
```bash
# API keys
export ANTHROPIC_API_KEY=sk-ant-...
export GITHUB_TOKEN=ghp_...
# Custom output directory
export SKILL_SEEKERS_OUTPUT=/var/www/skills
# Conservative scraping
export SKILL_SEEKERS_RATE_LIMIT=1.0
export SKILL_SEEKERS_WORKERS=2
# Logging
export SKILL_SEEKERS_LOG_FILE=/var/log/skill-seekers.log
export SKILL_SEEKERS_LOG_LEVEL=WARNING
```
### CI/CD Environment
```bash
# Non-interactive
export SKILL_SEEKERS_LOG_LEVEL=ERROR
# API keys from secrets
export ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY_SECRET}
export GITHUB_TOKEN=${GITHUB_TOKEN_SECRET}
# Fresh runs (no cache)
export SKILL_SEEKERS_NO_CACHE=1
```
### Multi-Platform Setup
```bash
# All API keys
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIza...
export OPENAI_API_KEY=sk-...
export GITHUB_TOKEN=ghp_...
# Vector databases
export CHROMA_URL=http://localhost:8000
export WEAVIATE_URL=http://localhost:8080
export WEAVIATE_API_KEY=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
```
---
## Configuration File
Environment variables can also be set in a `.env` file:
```bash
# .env file
ANTHROPIC_API_KEY=sk-ant-...
GITHUB_TOKEN=ghp_...
SKILL_SEEKERS_OUTPUT=./output
SKILL_SEEKERS_RATE_LIMIT=0.5
```
Load with:
```bash
# Automatically loaded if python-dotenv is installed
# Or manually:
export $(cat .env | xargs)
```
---
## Priority Order
Settings are applied in this order (later overrides earlier):
1. Default values
2. Environment variables
3. Configuration file
4. Command-line flags
Example:
```bash
# Default: rate_limit = 0.5
export SKILL_SEEKERS_RATE_LIMIT=1.0 # Env var overrides default
# Config file: rate_limit = 0.2 # Config overrides env
skill-seekers scrape --rate-limit 2.0 # Flag overrides all
```
---
## Security Best Practices
### Never commit API keys
```bash
# Add to .gitignore
echo ".env" >> .gitignore
echo "*.key" >> .gitignore
```
### Use secret management
```bash
# macOS Keychain
export ANTHROPIC_API_KEY=$(security find-generic-password -s "anthropic-api" -w)
# Linux Secret Service (with secret-tool)
export ANTHROPIC_API_KEY=$(secret-tool lookup service anthropic)
# 1Password CLI
export ANTHROPIC_API_KEY=$(op read "op://vault/anthropic/credential")
```
### File permissions
```bash
# Restrict .env file
chmod 600 .env
```
---
## Troubleshooting
### Variable not recognized
```bash
# Check if set
echo $ANTHROPIC_API_KEY
# Check in Python
python -c "import os; print(os.getenv('ANTHROPIC_API_KEY'))"
```
### Priority issues
```bash
# See effective configuration
skill-seekers config --show
```
### Path expansion
```bash
# Use full path or expand tilde
export SKILL_SEEKERS_HOME=$HOME/.skill-seekers
# NOT: ~/.skill-seekers (may not expand in all shells)
```
---
## See Also
- [CLI Reference](CLI_REFERENCE.md) - Command reference
- [Config Format](CONFIG_FORMAT.md) - JSON configuration
---
*For platform-specific setup, see [Installation Guide](../getting-started/01-installation.md)*

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# Core Concepts
> **Skill Seekers v3.1.0**
> **Understanding how Skill Seekers works**
---
## Overview
Skill Seekers transforms documentation, code, and content into **structured knowledge assets** that AI systems can use effectively.
```
Raw Content → Skill Seekers → AI-Ready Skill
↓ ↓
(docs, code, (SKILL.md +
PDFs, repos) references)
```
---
## What is a Skill?
A **skill** is a structured knowledge package containing:
```
output/my-skill/
├── SKILL.md # Main file (400+ lines typically)
├── references/ # Categorized content
│ ├── index.md # Navigation
│ ├── getting_started.md
│ ├── api_reference.md
│ └── ...
├── .skill-seekers/ # Metadata
└── assets/ # Images, downloads
```
### SKILL.md Structure
```markdown
# My Framework Skill
## Overview
Brief description of the framework...
## Quick Reference
Common commands and patterns...
## Categories
- [Getting Started](#getting-started)
- [API Reference](#api-reference)
- [Guides](#guides)
## Getting Started
### Installation
```bash
npm install my-framework
```
### First Steps
...
## API Reference
...
```
### Why This Structure?
| Element | Purpose |
|---------|---------|
| **Overview** | Quick context for AI |
| **Quick Reference** | Common patterns at a glance |
| **Categories** | Organized deep dives |
| **Code Examples** | Copy-paste ready snippets |
---
## Source Types
Skill Seekers works with four types of sources:
### 1. Documentation Websites
**What:** Web-based documentation (ReadTheDocs, Docusaurus, GitBook, etc.)
**Examples:**
- React docs (react.dev)
- Django docs (docs.djangoproject.com)
- Kubernetes docs (kubernetes.io)
**Command:**
```bash
skill-seekers create https://docs.example.com/
```
**Best for:**
- Framework documentation
- API references
- Tutorials and guides
---
### 2. GitHub Repositories
**What:** Source code repositories with analysis
**Extracts:**
- Code structure and APIs
- README and documentation
- Issues and discussions
- Releases and changelog
**Command:**
```bash
skill-seekers create owner/repo
skill-seekers github --repo owner/repo
```
**Best for:**
- Understanding codebases
- API implementation details
- Contributing guidelines
---
### 3. PDF Documents
**What:** PDF manuals, papers, documentation
**Handles:**
- Text extraction
- OCR for scanned PDFs
- Table extraction
- Image extraction
**Command:**
```bash
skill-seekers create manual.pdf
skill-seekers pdf --pdf manual.pdf
```
**Best for:**
- Product manuals
- Research papers
- Legacy documentation
---
### 4. Local Codebases
**What:** Your local projects and code
**Analyzes:**
- Source code structure
- Comments and docstrings
- Test files
- Configuration patterns
**Command:**
```bash
skill-seekers create ./my-project
skill-seekers analyze --directory ./my-project
```
**Best for:**
- Your own projects
- Internal tools
- Code review preparation
---
## The Workflow
### Phase 1: Ingest
```
┌─────────────┐ ┌──────────────┐
│ Source │────▶│ Scraper │
│ (URL/repo/ │ │ (extracts │
│ PDF/local) │ │ content) │
└─────────────┘ └──────────────┘
```
- Detects source type automatically
- Crawls and downloads content
- Respects rate limits
- Extracts text, code, metadata
---
### Phase 2: Structure
```
┌──────────────┐ ┌──────────────┐
│ Raw Data │────▶│ Builder │
│ (pages/files/│ │ (organizes │
│ commits) │ │ by category)│
└──────────────┘ └──────────────┘
```
- Categorizes content by topic
- Extracts code examples
- Builds navigation structure
- Creates reference files
---
### Phase 3: Enhance (Optional)
```
┌──────────────┐ ┌──────────────┐
│ SKILL.md │────▶│ Enhancer │
│ (basic) │ │ (AI improves │
│ │ │ quality) │
└──────────────┘ └──────────────┘
```
- AI reviews and improves content
- Adds examples and patterns
- Fixes formatting
- Enhances navigation
**Modes:**
- **API:** Uses Claude API (fast, costs ~$0.10-0.30)
- **LOCAL:** Uses Claude Code (free, requires Claude Code Max)
---
### Phase 4: Package
```
┌──────────────┐ ┌──────────────┐
│ Skill Dir │────▶│ Packager │
│ (structured │ │ (creates │
│ content) │ │ platform │
│ │ │ format) │
└──────────────┘ └──────────────┘
```
- Formats for target platform
- Creates archives (ZIP, tar.gz)
- Optimizes for size
- Validates structure
---
### Phase 5: Upload (Optional)
```
┌──────────────┐ ┌──────────────┐
│ Package │────▶│ Platform │
│ (.zip/.tar) │ │ (Claude/ │
│ │ │ Gemini/etc) │
└──────────────┘ └──────────────┘
```
- Uploads to target platform
- Configures settings
- Returns skill ID/URL
---
## Enhancement Levels
Control how much AI enhancement is applied:
| Level | What Happens | Use Case |
|-------|--------------|----------|
| **0** | No enhancement | Fast scraping, manual review |
| **1** | SKILL.md only | Basic improvement |
| **2** | + architecture/config | **Recommended** - good balance |
| **3** | Full enhancement | Maximum quality, takes longer |
**Default:** Level 2
```bash
# Skip enhancement (fastest)
skill-seekers create <source> --enhance-level 0
# Full enhancement (best quality)
skill-seekers create <source> --enhance-level 3
```
---
## Target Platforms
Package skills for different AI systems:
| Platform | Format | Use |
|----------|--------|-----|
| **Claude AI** | ZIP + YAML | Claude Code, Claude API |
| **Gemini** | tar.gz | Google Gemini |
| **OpenAI** | ZIP + Vector | ChatGPT, Assistants API |
| **LangChain** | Documents | RAG pipelines |
| **LlamaIndex** | TextNodes | Query engines |
| **ChromaDB** | Collection | Vector search |
| **Weaviate** | Objects | Vector database |
| **Cursor** | .cursorrules | IDE AI assistant |
| **Windsurf** | .windsurfrules | IDE AI assistant |
---
## Configuration
### Simple (Auto-Detect)
```bash
# Just provide the source
skill-seekers create https://docs.react.dev/
```
### Preset Configs
```bash
# Use predefined configuration
skill-seekers create --config react
```
**Available presets:** `react`, `vue`, `django`, `fastapi`, `godot`, etc.
### Custom Config
```bash
# Create custom config
cat > configs/my-docs.json << 'EOF'
{
"name": "my-docs",
"base_url": "https://docs.example.com/",
"max_pages": 200
}
EOF
skill-seekers create --config configs/my-docs.json
```
See [Config Format](../reference/CONFIG_FORMAT.md) for full specification.
---
## Multi-Source Skills
Combine multiple sources into one skill:
```bash
# Create unified config
cat > configs/my-project.json << 'EOF'
{
"name": "my-project",
"sources": [
{"type": "docs", "base_url": "https://docs.example.com/"},
{"type": "github", "repo": "owner/repo"},
{"type": "pdf", "pdf_path": "manual.pdf"}
]
}
EOF
# Run unified scraping
skill-seekers unified --config configs/my-project.json
```
**Benefits:**
- Single skill with complete context
- Automatic conflict detection
- Cross-referenced content
---
## Caching and Resumption
### How Caching Works
```
First scrape: Downloads all pages → saves to output/{name}_data/
Second scrape: Reuses cached data → fast rebuild
```
### Skip Scraping
```bash
# Use cached data, just rebuild
skill-seekers create --config react --skip-scrape
```
### Resume Interrupted Jobs
```bash
# List resumable jobs
skill-seekers resume --list
# Resume specific job
skill-seekers resume job-abc123
```
---
## Rate Limiting
Be respectful to servers:
```bash
# Default: 0.5 seconds between requests
skill-seekers create <source>
# Faster (for your own servers)
skill-seekers create <source> --rate-limit 0.1
# Slower (for rate-limited sites)
skill-seekers create <source> --rate-limit 2.0
```
**Why it matters:**
- Prevents being blocked
- Respects server resources
- Good citizenship
---
## Key Takeaways
1. **Skills are structured knowledge** - Not just raw text
2. **Auto-detection works** - Usually don't need custom configs
3. **Enhancement improves quality** - Level 2 is the sweet spot
4. **Package once, use everywhere** - Same skill, multiple platforms
5. **Cache saves time** - Rebuild without re-scraping
---
## Next Steps
- [Scraping Guide](02-scraping.md) - Deep dive into source options
- [Enhancement Guide](03-enhancement.md) - AI enhancement explained
- [Config Format](../reference/CONFIG_FORMAT.md) - Custom configurations

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# Scraping Guide
> **Skill Seekers v3.1.0**
> **Complete guide to all scraping options**
---
## Overview
Skill Seekers can extract knowledge from four types of sources:
| Source | Command | Best For |
|--------|---------|----------|
| **Documentation** | `create <url>` | Web docs, tutorials, API refs |
| **GitHub** | `create <repo>` | Source code, issues, releases |
| **PDF** | `create <file.pdf>` | Manuals, papers, reports |
| **Local** | `create <./path>` | Your projects, internal code |
---
## Documentation Scraping
### Basic Usage
```bash
# Auto-detect and scrape
skill-seekers create https://docs.react.dev/
# With custom name
skill-seekers create https://docs.react.dev/ --name react-docs
# With description
skill-seekers create https://docs.react.dev/ \
--description "React JavaScript library documentation"
```
### Using Preset Configs
```bash
# List available presets
skill-seekers estimate --all
# Use preset
skill-seekers create --config react
skill-seekers create --config django
skill-seekers create --config fastapi
```
**Available presets:** See `configs/` directory in repository.
### Custom Configuration
```bash
# Create config file
cat > configs/my-docs.json << 'EOF'
{
"name": "my-framework",
"base_url": "https://docs.example.com/",
"description": "My framework documentation",
"max_pages": 200,
"rate_limit": 0.5,
"selectors": {
"main_content": "article",
"title": "h1"
},
"url_patterns": {
"include": ["/docs/", "/api/"],
"exclude": ["/blog/", "/search"]
}
}
EOF
# Use config
skill-seekers create --config configs/my-docs.json
```
See [Config Format](../reference/CONFIG_FORMAT.md) for all options.
### Advanced Options
```bash
# Limit pages (for testing)
skill-seekers create <url> --max-pages 50
# Adjust rate limit
skill-seekers create <url> --rate-limit 1.0
# Parallel workers (faster)
skill-seekers create <url> --workers 5 --async
# Dry run (preview)
skill-seekers create <url> --dry-run
# Resume interrupted
skill-seekers create <url> --resume
# Fresh start (ignore cache)
skill-seekers create <url> --fresh
```
---
## GitHub Repository Scraping
### Basic Usage
```bash
# By repo name
skill-seekers create facebook/react
# With explicit flag
skill-seekers github --repo facebook/react
# With custom name
skill-seekers github --repo facebook/react --name react-source
```
### With GitHub Token
```bash
# Set token for higher rate limits
export GITHUB_TOKEN=ghp_...
# Use token
skill-seekers github --repo facebook/react
```
**Benefits of token:**
- 5000 requests/hour vs 60
- Access to private repos
- Higher GraphQL limits
### What Gets Extracted
| Data | Default | Flag to Disable |
|------|---------|-----------------|
| Source code | ✅ | `--scrape-only` |
| README | ✅ | - |
| Issues | ✅ | `--no-issues` |
| Releases | ✅ | `--no-releases` |
| Changelog | ✅ | `--no-changelog` |
### Control What to Fetch
```bash
# Skip issues (faster)
skill-seekers github --repo facebook/react --no-issues
# Limit issues
skill-seekers github --repo facebook/react --max-issues 50
# Scrape only (no build)
skill-seekers github --repo facebook/react --scrape-only
# Non-interactive (CI/CD)
skill-seekers github --repo facebook/react --non-interactive
```
---
## PDF Extraction
### Basic Usage
```bash
# Direct file
skill-seekers create manual.pdf --name product-manual
# With explicit command
skill-seekers pdf --pdf manual.pdf --name docs
```
### OCR for Scanned PDFs
```bash
# Enable OCR
skill-seekers pdf --pdf scanned.pdf --enable-ocr
```
**Requirements:**
```bash
pip install skill-seekers[pdf-ocr]
# Also requires: tesseract-ocr (system package)
```
### Password-Protected PDFs
```bash
# In config file
{
"name": "secure-docs",
"pdf_path": "protected.pdf",
"password": "secret123"
}
```
### Page Range
```bash
# Extract specific pages (via config)
{
"pdf_path": "manual.pdf",
"page_range": [1, 100]
}
```
---
## Local Codebase Analysis
### Basic Usage
```bash
# Current directory
skill-seekers create .
# Specific directory
skill-seekers create ./my-project
# With explicit command
skill-seekers analyze --directory ./my-project
```
### Analysis Presets
```bash
# Quick analysis (1-2 min)
skill-seekers analyze --directory ./my-project --preset quick
# Standard analysis (5-10 min) - default
skill-seekers analyze --directory ./my-project --preset standard
# Comprehensive (20-60 min)
skill-seekers analyze --directory ./my-project --preset comprehensive
```
### What Gets Analyzed
| Feature | Quick | Standard | Comprehensive |
|---------|-------|----------|---------------|
| Code structure | ✅ | ✅ | ✅ |
| API extraction | ✅ | ✅ | ✅ |
| Comments | - | ✅ | ✅ |
| Patterns | - | ✅ | ✅ |
| Test examples | - | - | ✅ |
| How-to guides | - | - | ✅ |
| Config patterns | - | - | ✅ |
### Language Filtering
```bash
# Specific languages
skill-seekers analyze --directory ./my-project \
--languages Python,JavaScript
# File patterns
skill-seekers analyze --directory ./my-project \
--file-patterns "*.py,*.js"
```
### Skip Features
```bash
# Skip heavy features
skill-seekers analyze --directory ./my-project \
--skip-dependency-graph \
--skip-patterns \
--skip-test-examples
```
---
## Common Scraping Patterns
### Pattern 1: Test First
```bash
# Dry run to preview
skill-seekers create <source> --dry-run
# Small test scrape
skill-seekers create <source> --max-pages 10
# Full scrape
skill-seekers create <source>
```
### Pattern 2: Iterative Development
```bash
# Scrape without enhancement (fast)
skill-seekers create <source> --enhance-level 0
# Review output
ls output/my-skill/
cat output/my-skill/SKILL.md
# Enhance later
skill-seekers enhance output/my-skill/
```
### Pattern 3: Parallel Processing
```bash
# Fast async scraping
skill-seekers create <url> --async --workers 5
# Even faster (be careful with rate limits)
skill-seekers create <url> --async --workers 10 --rate-limit 0.2
```
### Pattern 4: Resume Capability
```bash
# Start scraping
skill-seekers create <source>
# ...interrupted...
# Resume later
skill-seekers resume --list
skill-seekers resume <job-id>
```
---
## Troubleshooting Scraping
### "No content extracted"
**Problem:** Wrong CSS selectors
**Solution:**
```bash
# Find correct selectors
curl -s <url> | grep -i 'article\|main\|content'
# Update config
{
"selectors": {
"main_content": "div.content" // or "article", "main", etc.
}
}
```
### "Rate limit exceeded"
**Problem:** Too many requests
**Solution:**
```bash
# Slow down
skill-seekers create <url> --rate-limit 2.0
# Or use GitHub token for GitHub repos
export GITHUB_TOKEN=ghp_...
```
### "Too many pages"
**Problem:** Site is larger than expected
**Solution:**
```bash
# Estimate first
skill-seekers estimate configs/my-config.json
# Limit pages
skill-seekers create <url> --max-pages 100
# Adjust URL patterns
{
"url_patterns": {
"exclude": ["/blog/", "/archive/", "/search"]
}
}
```
### "Memory error"
**Problem:** Site too large for memory
**Solution:**
```bash
# Use streaming mode
skill-seekers create <url> --streaming
# Or smaller chunks
skill-seekers create <url> --chunk-size 500
```
---
## Performance Tips
| Tip | Command | Impact |
|-----|---------|--------|
| Use presets | `--config react` | Faster setup |
| Async mode | `--async --workers 5` | 3-5x faster |
| Skip enhancement | `--enhance-level 0` | Skip 60 sec |
| Use cache | `--skip-scrape` | Instant rebuild |
| Resume | `--resume` | Continue interrupted |
---
## Next Steps
- [Enhancement Guide](03-enhancement.md) - Improve skill quality
- [Packaging Guide](04-packaging.md) - Export to platforms
- [Config Format](../reference/CONFIG_FORMAT.md) - Advanced configuration

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# Enhancement Guide
> **Skill Seekers v3.1.0**
> **AI-powered quality improvement for skills**
---
## What is Enhancement?
Enhancement uses AI to improve the quality of generated SKILL.md files:
```
Basic SKILL.md ──▶ AI Enhancer ──▶ Enhanced SKILL.md
(100 lines) (60 sec) (400+ lines)
↓ ↓
Sparse Comprehensive
examples with patterns,
navigation, depth
```
---
## Enhancement Levels
Choose how much enhancement to apply:
| Level | What Happens | Time | Cost |
|-------|--------------|------|------|
| **0** | No enhancement | 0 sec | Free |
| **1** | SKILL.md only | ~30 sec | Low |
| **2** | + architecture/config | ~60 sec | Medium |
| **3** | Full enhancement | ~2 min | Higher |
**Default:** Level 2 (recommended balance)
---
## Enhancement Modes
### API Mode (Default if key available)
Uses Claude API for fast enhancement.
**Requirements:**
```bash
export ANTHROPIC_API_KEY=sk-ant-...
```
**Usage:**
```bash
# Auto-detects API mode
skill-seekers create <source>
# Explicit
skill-seekers enhance output/my-skill/ --agent api
```
**Pros:**
- Fast (~60 seconds)
- No local setup needed
**Cons:**
- Costs ~$0.10-0.30 per skill
- Requires API key
---
### LOCAL Mode (Default if no key)
Uses Claude Code (free with Max plan).
**Requirements:**
- Claude Code installed
- Claude Code Max subscription
**Usage:**
```bash
# Auto-detects LOCAL mode (no API key)
skill-seekers create <source>
# Explicit
skill-seekers enhance output/my-skill/ --agent local
```
**Pros:**
- Free (with Claude Code Max)
- Better quality (full context)
**Cons:**
- Requires Claude Code
- Slightly slower (~60-120 sec)
---
## How to Enhance
### During Creation
```bash
# Default enhancement (level 2)
skill-seekers create <source>
# No enhancement (fastest)
skill-seekers create <source> --enhance-level 0
# Maximum enhancement
skill-seekers create <source> --enhance-level 3
```
### After Creation
```bash
# Enhance existing skill
skill-seekers enhance output/my-skill/
# With specific agent
skill-seekers enhance output/my-skill/ --agent local
# With timeout
skill-seekers enhance output/my-skill/ --timeout 1200
```
### Background Mode
```bash
# Run in background
skill-seekers enhance output/my-skill/ --background
# Check status
skill-seekers enhance-status output/my-skill/
# Watch in real-time
skill-seekers enhance-status output/my-skill/ --watch
```
---
## Enhancement Workflows
Apply specialized AI analysis with preset workflows.
### Built-in Presets
| Preset | Stages | Focus |
|--------|--------|-------|
| `default` | 2 | General improvement |
| `minimal` | 1 | Light touch-up |
| `security-focus` | 4 | Security analysis |
| `architecture-comprehensive` | 7 | Deep architecture |
| `api-documentation` | 3 | API docs focus |
### Using Workflows
```bash
# Apply workflow
skill-seekers create <source> --enhance-workflow security-focus
# Chain multiple workflows
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
# List available
skill-seekers workflows list
# Show workflow content
skill-seekers workflows show security-focus
```
### Custom Workflows
Create your own YAML workflow:
```yaml
# my-workflow.yaml
name: my-custom
stages:
- name: overview
prompt: "Add comprehensive overview section"
- name: examples
prompt: "Add practical code examples"
```
```bash
# Add workflow
skill-seekers workflows add my-workflow.yaml
# Use it
skill-seekers create <source> --enhance-workflow my-custom
```
---
## What Enhancement Adds
### Level 1: SKILL.md Improvement
- Better structure and organization
- Improved descriptions
- Fixed formatting
- Added navigation
### Level 2: Architecture & Config (Default)
Everything in Level 1, plus:
- Architecture overview
- Configuration examples
- Pattern documentation
- Best practices
### Level 3: Full Enhancement
Everything in Level 2, plus:
- Deep code examples
- Common pitfalls
- Performance tips
- Integration guides
---
## Enhancement Workflow Details
### Security-Focus Workflow
4 stages:
1. **Security Overview** - Identify security features
2. **Vulnerability Analysis** - Common issues
3. **Best Practices** - Secure coding patterns
4. **Compliance** - Security standards
### Architecture-Comprehensive Workflow
7 stages:
1. **System Overview** - High-level architecture
2. **Component Analysis** - Key components
3. **Data Flow** - How data moves
4. **Integration Points** - External connections
5. **Scalability** - Performance considerations
6. **Deployment** - Infrastructure
7. **Maintenance** - Operational concerns
### API-Documentation Workflow
3 stages:
1. **Endpoint Catalog** - All API endpoints
2. **Request/Response** - Detailed examples
3. **Error Handling** - Common errors
---
## Monitoring Enhancement
### Check Status
```bash
# Current status
skill-seekers enhance-status output/my-skill/
# JSON output (for scripting)
skill-seekers enhance-status output/my-skill/ --json
# Watch mode
skill-seekers enhance-status output/my-skill/ --watch --interval 10
```
### Process Status Values
| Status | Meaning |
|--------|---------|
| `running` | Enhancement in progress |
| `completed` | Successfully finished |
| `failed` | Error occurred |
| `pending` | Waiting to start |
---
## When to Skip Enhancement
Skip enhancement when:
- **Testing:** Quick iteration during development
- **Large batches:** Process many skills, enhance best ones later
- **Custom processing:** You have your own enhancement pipeline
- **Time critical:** Need results immediately
```bash
# Skip during creation
skill-seekers create <source> --enhance-level 0
# Enhance best ones later
skill-seekers enhance output/best-skill/
```
---
## Enhancement Best Practices
### 1. Use Level 2 for Most Cases
```bash
# Default is usually perfect
skill-seekers create <source>
```
### 2. Apply Domain-Specific Workflows
```bash
# Security review
skill-seekers create <source> --enhance-workflow security-focus
# API focus
skill-seekers create <source> --enhance-workflow api-documentation
```
### 3. Chain for Comprehensive Analysis
```bash
# Multiple perspectives
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow architecture-comprehensive
```
### 4. Use LOCAL Mode for Quality
```bash
# Better results with Claude Code
export ANTHROPIC_API_KEY="" # Unset to force LOCAL
skill-seekers enhance output/my-skill/
```
### 5. Enhance Iteratively
```bash
# Create without enhancement
skill-seekers create <source> --enhance-level 0
# Review and enhance
skill-seekers enhance output/my-skill/
# Review again...
skill-seekers enhance output/my-skill/ # Run again for more polish
```
---
## Troubleshooting
### "Enhancement failed: No API key"
**Solution:**
```bash
# Set API key
export ANTHROPIC_API_KEY=sk-ant-...
# Or use LOCAL mode
skill-seekers enhance output/my-skill/ --agent local
```
### "Enhancement timeout"
**Solution:**
```bash
# Increase timeout
skill-seekers enhance output/my-skill/ --timeout 1200
# Or use background mode
skill-seekers enhance output/my-skill/ --background
```
### "Claude Code not found" (LOCAL mode)
**Solution:**
```bash
# Install Claude Code
# See: https://claude.ai/code
# Or switch to API mode
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers enhance output/my-skill/ --agent api
```
### "Workflow not found"
**Solution:**
```bash
# List available workflows
skill-seekers workflows list
# Check spelling
skill-seekers create <source> --enhance-workflow security-focus
```
---
## Cost Estimation
### API Mode Costs
| Skill Size | Level 1 | Level 2 | Level 3 |
|------------|---------|---------|---------|
| Small (< 50 pages) | $0.02 | $0.05 | $0.10 |
| Medium (50-200 pages) | $0.05 | $0.10 | $0.20 |
| Large (200-500 pages) | $0.10 | $0.20 | $0.40 |
*Costs are approximate and depend on actual content.*
### LOCAL Mode Costs
Free with Claude Code Max subscription (~$20/month).
---
## Summary
| Approach | When to Use |
|----------|-------------|
| **Level 0** | Testing, batch processing |
| **Level 2 (default)** | Most use cases |
| **Level 3** | Maximum quality needed |
| **API Mode** | Speed, no Claude Code |
| **LOCAL Mode** | Quality, free with Max |
| **Workflows** | Domain-specific needs |
---
## Next Steps
- [Workflows Guide](05-workflows.md) - Custom workflow creation
- [Packaging Guide](04-packaging.md) - Export enhanced skills
- [MCP Reference](../reference/MCP_REFERENCE.md) - Enhancement via MCP

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# Packaging Guide
> **Skill Seekers v3.1.0**
> **Export skills to AI platforms and vector databases**
---
## Overview
Packaging converts your skill directory into a platform-specific format:
```
output/my-skill/ ──▶ Packager ──▶ output/my-skill-{platform}.{format}
↓ ↓
(SKILL.md + Platform-specific (ZIP, tar.gz,
references) formatting directories,
FAISS index)
```
---
## Supported Platforms
| Platform | Format | Extension | Best For |
|----------|--------|-----------|----------|
| **Claude AI** | ZIP + YAML | `.zip` | Claude Code, Claude API |
| **Google Gemini** | tar.gz | `.tar.gz` | Gemini skills |
| **OpenAI ChatGPT** | ZIP + Vector | `.zip` | Custom GPTs |
| **LangChain** | Documents | directory | RAG pipelines |
| **LlamaIndex** | TextNodes | directory | Query engines |
| **Haystack** | Documents | directory | Enterprise RAG |
| **Pinecone** | Markdown | `.zip` | Vector upsert |
| **ChromaDB** | Collection | `.zip` | Local vector DB |
| **Weaviate** | Objects | `.zip` | Vector database |
| **Qdrant** | Points | `.zip` | Vector database |
| **FAISS** | Index | `.faiss` | Local similarity |
| **Markdown** | ZIP | `.zip` | Universal export |
| **Cursor** | .cursorrules | file | IDE AI context |
| **Windsurf** | .windsurfrules | file | IDE AI context |
| **Cline** | .clinerules | file | VS Code AI |
---
## Basic Packaging
### Package for Claude (Default)
```bash
# Default packaging
skill-seekers package output/my-skill/
# Explicit target
skill-seekers package output/my-skill/ --target claude
# Output: output/my-skill-claude.zip
```
### Package for Other Platforms
```bash
# Google Gemini
skill-seekers package output/my-skill/ --target gemini
# Output: output/my-skill-gemini.tar.gz
# OpenAI
skill-seekers package output/my-skill/ --target openai
# Output: output/my-skill-openai.zip
# LangChain
skill-seekers package output/my-skill/ --target langchain
# Output: output/my-skill-langchain/ directory
# ChromaDB
skill-seekers package output/my-skill/ --target chroma
# Output: output/my-skill-chroma.zip
```
---
## Multi-Platform Packaging
### Package for All Platforms
```bash
# Create skill once
skill-seekers create <source>
# Package for multiple platforms
for platform in claude gemini openai langchain; do
echo "Packaging for $platform..."
skill-seekers package output/my-skill/ --target $platform
done
# Results:
# output/my-skill-claude.zip
# output/my-skill-gemini.tar.gz
# output/my-skill-openai.zip
# output/my-skill-langchain/
```
### Batch Packaging Script
```bash
#!/bin/bash
SKILL_DIR="output/my-skill"
PLATFORMS="claude gemini openai langchain llama-index chroma"
for platform in $PLATFORMS; do
echo "▶️ Packaging for $platform..."
skill-seekers package "$SKILL_DIR" --target "$platform"
if [ $? -eq 0 ]; then
echo "✅ $platform done"
else
echo "❌ $platform failed"
fi
done
echo "🎉 All platforms packaged!"
```
---
## Packaging Options
### Skip Quality Check
```bash
# Skip validation (faster)
skill-seekers package output/my-skill/ --skip-quality-check
```
### Don't Open Output Folder
```bash
# Prevent opening folder after packaging
skill-seekers package output/my-skill/ --no-open
```
### Auto-Upload After Packaging
```bash
# Package and upload
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers package output/my-skill/ --target claude --upload
```
---
## Streaming Mode
For very large skills, use streaming to reduce memory usage:
```bash
# Enable streaming
skill-seekers package output/large-skill/ --streaming
# Custom chunk size
skill-seekers package output/large-skill/ \
--streaming \
--chunk-size 2000 \
--chunk-overlap 100
```
**When to use:**
- Skills > 500 pages
- Limited RAM (< 8GB)
- Batch processing many skills
---
## RAG Chunking
Optimize for Retrieval-Augmented Generation:
```bash
# Enable semantic chunking
skill-seekers package output/my-skill/ \
--target langchain \
--chunk \
--chunk-tokens 512
# Custom chunk size
skill-seekers package output/my-skill/ \
--target chroma \
--chunk-tokens 256 \
--chunk-overlap 50
```
**Chunking Options:**
| Option | Default | Description |
|--------|---------|-------------|
| `--chunk` | auto | Enable chunking |
| `--chunk-tokens` | 512 | Tokens per chunk |
| `--chunk-overlap` | 50 | Overlap between chunks |
| `--no-preserve-code` | - | Allow splitting code blocks |
---
## Platform-Specific Details
### Claude AI
```bash
skill-seekers package output/my-skill/ --target claude
```
**Upload:**
```bash
# Auto-upload
skill-seekers package output/my-skill/ --target claude --upload
# Manual upload
skill-seekers upload output/my-skill-claude.zip --target claude
```
**Format:**
- ZIP archive
- Contains SKILL.md + references/
- Includes YAML manifest
---
### Google Gemini
```bash
skill-seekers package output/my-skill/ --target gemini
```
**Upload:**
```bash
export GOOGLE_API_KEY=AIza...
skill-seekers upload output/my-skill-gemini.tar.gz --target gemini
```
**Format:**
- tar.gz archive
- Optimized for Gemini's format
---
### OpenAI ChatGPT
```bash
skill-seekers package output/my-skill/ --target openai
```
**Upload:**
```bash
export OPENAI_API_KEY=sk-...
skill-seekers upload output/my-skill-openai.zip --target openai
```
**Format:**
- ZIP with vector embeddings
- Ready for Assistants API
---
### LangChain
```bash
skill-seekers package output/my-skill/ --target langchain
```
**Usage:**
```python
from langchain.document_loaders import DirectoryLoader
loader = DirectoryLoader("output/my-skill-langchain/")
docs = loader.load()
# Use in RAG pipeline
```
**Format:**
- Directory of Document objects
- JSON metadata
---
### ChromaDB
```bash
skill-seekers package output/my-skill/ --target chroma
```
**Upload:**
```bash
# Local ChromaDB
skill-seekers upload output/my-skill-chroma.zip --target chroma
# With custom URL
skill-seekers upload output/my-skill-chroma.zip \
--target chroma \
--chroma-url http://localhost:8000
```
**Usage:**
```python
import chromadb
client = chromadb.HttpClient(host="localhost", port=8000)
collection = client.get_collection("my-skill")
```
---
### Weaviate
```bash
skill-seekers package output/my-skill/ --target weaviate
```
**Upload:**
```bash
# Local Weaviate
skill-seekers upload output/my-skill-weaviate.zip --target weaviate
# Weaviate Cloud
skill-seekers upload output/my-skill-weaviate.zip \
--target weaviate \
--use-cloud \
--cluster-url https://xxx.weaviate.network
```
---
### Cursor IDE
```bash
# Package (actually creates .cursorrules file)
skill-seekers package output/my-skill/ --target cursor
# Or install directly
skill-seekers install-agent output/my-skill/ --agent cursor
```
**Result:** `.cursorrules` file in your project root.
---
### Windsurf IDE
```bash
skill-seekers install-agent output/my-skill/ --agent windsurf
```
**Result:** `.windsurfrules` file in your project root.
---
## Quality Check
Before packaging, skills are validated:
```bash
# Check quality
skill-seekers quality output/my-skill/
# Detailed report
skill-seekers quality output/my-skill/ --report
# Set minimum threshold
skill-seekers quality output/my-skill/ --threshold 7.0
```
**Quality Metrics:**
- SKILL.md completeness
- Code example coverage
- Navigation structure
- Reference file organization
---
## Output Structure
### After Packaging
```
output/
├── my-skill/ # Source skill
│ ├── SKILL.md
│ └── references/
│
├── my-skill-claude.zip # Claude package
├── my-skill-gemini.tar.gz # Gemini package
├── my-skill-openai.zip # OpenAI package
├── my-skill-langchain/ # LangChain directory
├── my-skill-chroma.zip # ChromaDB package
└── my-skill-weaviate.zip # Weaviate package
```
---
## Troubleshooting
### "Package validation failed"
**Problem:** SKILL.md is missing or malformed
**Solution:**
```bash
# Check skill structure
ls output/my-skill/
# Rebuild if needed
skill-seekers create --config my-config --skip-scrape
# Or recreate
skill-seekers create <source>
```
### "Target platform not supported"
**Problem:** Typo in target name
**Solution:**
```bash
# Check available targets
skill-seekers package --help
# Common targets: claude, gemini, openai, langchain, chroma, weaviate
```
### "Upload failed"
**Problem:** Missing API key
**Solution:**
```bash
# Set API key
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIza...
export OPENAI_API_KEY=sk-...
# Try again
skill-seekers upload output/my-skill-claude.zip --target claude
```
### "Out of memory"
**Problem:** Skill too large for memory
**Solution:**
```bash
# Use streaming mode
skill-seekers package output/my-skill/ --streaming
# Smaller chunks
skill-seekers package output/my-skill/ --streaming --chunk-size 1000
```
---
## Best Practices
### 1. Package Once, Use Everywhere
```bash
# Create once
skill-seekers create <source>
# Package for all needed platforms
for platform in claude gemini langchain; do
skill-seekers package output/my-skill/ --target $platform
done
```
### 2. Check Quality Before Packaging
```bash
# Validate first
skill-seekers quality output/my-skill/ --threshold 6.0
# Then package
skill-seekers package output/my-skill/
```
### 3. Use Streaming for Large Skills
```bash
# Automatically detected, but can force
skill-seekers package output/large-skill/ --streaming
```
### 4. Keep Original Skill Directory
Don't delete `output/my-skill/` after packaging - you might want to:
- Re-package for other platforms
- Apply different workflows
- Update and re-enhance
---
## Next Steps
- [Workflows Guide](05-workflows.md) - Apply workflows before packaging
- [MCP Reference](../reference/MCP_REFERENCE.md) - Package via MCP
- [Vector DB Integrations](../integrations/) - Platform-specific guides

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# Workflows Guide
> **Skill Seekers v3.1.0**
> **Enhancement workflow presets for specialized analysis**
---
## What are Workflows?
Workflows are **multi-stage AI enhancement pipelines** that apply specialized analysis to your skills:
```
Basic Skill ──▶ Workflow: Security-Focus ──▶ Security-Enhanced Skill
Stage 1: Overview
Stage 2: Vulnerability Analysis
Stage 3: Best Practices
Stage 4: Compliance
```
---
## Built-in Presets
Skill Seekers includes 5 built-in workflow presets:
| Preset | Stages | Best For |
|--------|--------|----------|
| `default` | 2 | General improvement |
| `minimal` | 1 | Light touch-up |
| `security-focus` | 4 | Security analysis |
| `architecture-comprehensive` | 7 | Deep architecture review |
| `api-documentation` | 3 | API documentation focus |
---
## Using Workflows
### List Available Workflows
```bash
skill-seekers workflows list
```
**Output:**
```
Bundled Workflows:
- default (built-in)
- minimal (built-in)
- security-focus (built-in)
- architecture-comprehensive (built-in)
- api-documentation (built-in)
User Workflows:
- my-custom (user)
```
### Apply a Workflow
```bash
# During skill creation
skill-seekers create <source> --enhance-workflow security-focus
# Multiple workflows (chained)
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
```
### Show Workflow Content
```bash
skill-seekers workflows show security-focus
```
**Output:**
```yaml
name: security-focus
description: Security analysis workflow
stages:
- name: security-overview
prompt: Analyze security features and mechanisms...
- name: vulnerability-analysis
prompt: Identify common vulnerabilities...
- name: best-practices
prompt: Document security best practices...
- name: compliance
prompt: Map to security standards...
```
---
## Workflow Presets Explained
### Default Workflow
**Stages:** 2
**Purpose:** General improvement
```yaml
stages:
- name: structure
prompt: Improve overall structure and organization
- name: content
prompt: Enhance content quality and examples
```
**Use when:** You want standard enhancement without specific focus.
---
### Minimal Workflow
**Stages:** 1
**Purpose:** Light touch-up
```yaml
stages:
- name: cleanup
prompt: Basic formatting and cleanup
```
**Use when:** You need quick, minimal enhancement.
---
### Security-Focus Workflow
**Stages:** 4
**Purpose:** Security analysis and recommendations
```yaml
stages:
- name: security-overview
prompt: Identify and document security features...
- name: vulnerability-analysis
prompt: Analyze potential vulnerabilities...
- name: security-best-practices
prompt: Document security best practices...
- name: compliance-mapping
prompt: Map to OWASP, CWE, and other standards...
```
**Use for:**
- Security libraries
- Authentication systems
- API frameworks
- Any code handling sensitive data
**Example:**
```bash
skill-seekers create oauth2-server --enhance-workflow security-focus
```
---
### Architecture-Comprehensive Workflow
**Stages:** 7
**Purpose:** Deep architectural analysis
```yaml
stages:
- name: system-overview
prompt: Document high-level architecture...
- name: component-analysis
prompt: Analyze key components...
- name: data-flow
prompt: Document data flow patterns...
- name: integration-points
prompt: Identify external integrations...
- name: scalability
prompt: Document scalability considerations...
- name: deployment
prompt: Document deployment patterns...
- name: maintenance
prompt: Document operational concerns...
```
**Use for:**
- Large frameworks
- Distributed systems
- Microservices
- Enterprise platforms
**Example:**
```bash
skill-seekers create kubernetes/kubernetes \
--enhance-workflow architecture-comprehensive
```
---
### API-Documentation Workflow
**Stages:** 3
**Purpose:** API-focused enhancement
```yaml
stages:
- name: endpoint-catalog
prompt: Catalog all API endpoints...
- name: request-response
prompt: Document request/response formats...
- name: error-handling
prompt: Document error codes and handling...
```
**Use for:**
- REST APIs
- GraphQL services
- SDKs
- Library documentation
**Example:**
```bash
skill-seekers create https://api.example.com/docs \
--enhance-workflow api-documentation
```
---
## Chaining Multiple Workflows
Apply multiple workflows sequentially:
```bash
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
```
**Execution order:**
1. Run `security-focus` workflow
2. Run `api-documentation` workflow on results
3. Final skill has both security and API focus
**Use case:** API with security considerations
---
## Custom Workflows
### Create Custom Workflow
Create a YAML file:
```yaml
# my-workflow.yaml
name: performance-focus
description: Performance optimization workflow
variables:
target_latency: "100ms"
target_throughput: "1000 req/s"
stages:
- name: performance-overview
type: builtin
target: skill_md
prompt: |
Analyze performance characteristics of this framework.
Focus on:
- Benchmark results
- Optimization opportunities
- Scalability limits
- name: optimization-guide
type: custom
uses_history: true
prompt: |
Based on the previous analysis, create an optimization guide.
Target latency: {target_latency}
Target throughput: {target_throughput}
Previous results: {previous_results}
```
### Install Workflow
```bash
# Add to user workflows
skill-seekers workflows add my-workflow.yaml
# With custom name
skill-seekers workflows add my-workflow.yaml --name perf-guide
```
### Use Custom Workflow
```bash
skill-seekers create <source> --enhance-workflow performance-focus
```
### Update Workflow
```bash
# Edit the file, then:
skill-seekers workflows add my-workflow.yaml --name performance-focus
```
### Remove Workflow
```bash
skill-seekers workflows remove performance-focus
```
---
## Workflow Variables
Pass variables to workflows at runtime:
### In Workflow Definition
```yaml
variables:
target_audience: "beginners"
focus_area: "security"
```
### Override at Runtime
```bash
skill-seekers create <source> \
--enhance-workflow my-workflow \
--var target_audience=experts \
--var focus_area=performance
```
### Use in Prompts
```yaml
stages:
- name: customization
prompt: |
Tailor content for {target_audience}.
Focus on {focus_area} aspects.
```
---
## Inline Stages
Add one-off enhancement stages without creating a workflow file:
```bash
skill-seekers create <source> \
--enhance-stage "performance:Analyze performance characteristics"
```
**Format:** `name:prompt`
**Multiple stages:**
```bash
skill-seekers create <source> \
--enhance-stage "perf:Analyze performance" \
--enhance-stage "security:Check security" \
--enhance-stage "examples:Add more examples"
```
---
## Workflow Dry Run
Preview what a workflow will do without executing:
```bash
skill-seekers create <source> \
--enhance-workflow security-focus \
--workflow-dry-run
```
**Output:**
```
Workflow: security-focus
Stages:
1. security-overview
- Will analyze security features
- Target: skill_md
2. vulnerability-analysis
- Will identify vulnerabilities
- Target: skill_md
3. best-practices
- Will document best practices
- Target: skill_md
4. compliance
- Will map to standards
- Target: skill_md
Execution order: Sequential
Estimated time: ~4 minutes
```
---
## Workflow Validation
Validate workflow syntax:
```bash
# Validate bundled workflow
skill-seekers workflows validate security-focus
# Validate file
skill-seekers workflows validate ./my-workflow.yaml
```
---
## Copying Workflows
Copy bundled workflows to customize:
```bash
# Copy single workflow
skill-seekers workflows copy security-focus
# Copy multiple
skill-seekers workflows copy security-focus api-documentation minimal
# Edit the copy
nano ~/.config/skill-seekers/workflows/security-focus.yaml
```
---
## Best Practices
### 1. Start with Default
```bash
# Default is good for most cases
skill-seekers create <source>
```
### 2. Add Specific Workflows as Needed
```bash
# Security-focused project
skill-seekers create auth-library --enhance-workflow security-focus
# API project
skill-seekers create api-framework --enhance-workflow api-documentation
```
### 3. Chain for Comprehensive Analysis
```bash
# Large framework: architecture + security
skill-seekers create kubernetes/kubernetes \
--enhance-workflow architecture-comprehensive \
--enhance-workflow security-focus
```
### 4. Create Custom for Specialized Needs
```bash
# Create custom workflow for your domain
skill-seekers workflows add ml-workflow.yaml
skill-seekers create ml-framework --enhance-workflow ml-focus
```
### 5. Use Variables for Flexibility
```bash
# Same workflow, different targets
skill-seekers create <source> \
--enhance-workflow my-workflow \
--var audience=beginners
skill-seekers create <source> \
--enhance-workflow my-workflow \
--var audience=experts
```
---
## Troubleshooting
### "Workflow not found"
```bash
# List available
skill-seekers workflows list
# Check spelling
skill-seekers create <source> --enhance-workflow security-focus
```
### "Invalid workflow YAML"
```bash
# Validate
skill-seekers workflows validate ./my-workflow.yaml
# Common issues:
# - Missing 'stages' key
# - Invalid YAML syntax
# - Undefined variable references
```
### "Workflow stage failed"
```bash
# Check stage details
skill-seekers workflows show my-workflow
# Try with dry run
skill-seekers create <source> \
--enhance-workflow my-workflow \
--workflow-dry-run
```
---
## Workflow Support Across All Scrapers
Workflows are supported by **all 5 scrapers** in Skill Seekers:
| Scraper | Command | Workflow Support |
|---------|---------|------------------|
| Documentation | `scrape` | ✅ Full support |
| GitHub | `github` | ✅ Full support |
| Local Codebase | `analyze` | ✅ Full support |
| PDF | `pdf` | ✅ Full support |
| Unified/Multi-Source | `unified` | ✅ Full support |
| Create (Auto-detect) | `create` | ✅ Full support |
### Using Workflows with Different Sources
```bash
# Documentation website
skill-seekers scrape https://docs.example.com --enhance-workflow security-focus
# GitHub repository
skill-seekers github --repo owner/repo --enhance-workflow api-documentation
# Local codebase
skill-seekers analyze --directory ./my-project --enhance-workflow architecture-comprehensive
# PDF document
skill-seekers pdf --pdf manual.pdf --enhance-workflow minimal
# Unified config (multi-source)
skill-seekers unified --config configs/multi-source.json --enhance-workflow security-focus
# Auto-detect source type
skill-seekers create ./my-project --enhance-workflow security-focus
```
---
## Workflows in Config Files
Unified configs support defining workflows at the top level:
```json
{
"name": "my-skill",
"description": "Complete skill with security enhancement",
"workflows": ["security-focus", "api-documentation"],
"workflow_stages": [
{
"name": "cleanup",
"prompt": "Remove boilerplate and standardize formatting"
}
],
"workflow_vars": {
"focus_area": "performance",
"detail_level": "comprehensive"
},
"sources": [
{"type": "docs", "base_url": "https://docs.example.com/"}
]
}
```
**Priority:** CLI flags override config values
```bash
# Config has security-focus, CLI overrides with api-documentation
skill-seekers unified config.json --enhance-workflow api-documentation
```
---
## Summary
| Approach | When to Use |
|----------|-------------|
| **Default** | Most cases |
| **Security-Focus** | Security-sensitive projects |
| **Architecture** | Large frameworks, systems |
| **API-Docs** | API frameworks, libraries |
| **Custom** | Specialized domains |
| **Chaining** | Multiple perspectives needed |
---
## Next Steps
- [Custom Workflows](../advanced/custom-workflows.md) - Advanced workflow creation
- [Enhancement Guide](03-enhancement.md) - Enhancement fundamentals
- [MCP Reference](../reference/MCP_REFERENCE.md) - Workflows via MCP

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# Troubleshooting Guide
> **Skill Seekers v3.1.0**
> **Common issues and solutions**
---
## Quick Fixes
| Issue | Quick Fix |
|-------|-----------|
| `command not found` | `export PATH="$HOME/.local/bin:$PATH"` |
| `ImportError` | `pip install -e .` |
| `Rate limit` | Add `--rate-limit 2.0` |
| `No content` | Check selectors in config |
| `Enhancement fails` | Set `ANTHROPIC_API_KEY` |
| `Out of memory` | Use `--streaming` mode |
---
## Installation Issues
### "command not found: skill-seekers"
**Cause:** pip bin directory not in PATH
**Solution:**
```bash
# Add to PATH
export PATH="$HOME/.local/bin:$PATH"
# Or reinstall with --user
pip install --user --force-reinstall skill-seekers
# Verify
which skill-seekers
```
---
### "No module named 'skill_seekers'"
**Cause:** Package not installed or wrong Python environment
**Solution:**
```bash
# Install package
pip install skill-seekers
# For development
pip install -e .
# Verify
python -c "import skill_seekers; print(skill_seekers.__version__)"
```
---
### "Permission denied"
**Cause:** Trying to install system-wide
**Solution:**
```bash
# Don't use sudo
# Instead:
pip install --user skill-seekers
# Or use virtual environment
python3 -m venv venv
source venv/bin/activate
pip install skill-seekers
```
---
## Scraping Issues
### "Rate limit exceeded"
**Cause:** Too many requests to server
**Solution:**
```bash
# Slow down
skill-seekers create <url> --rate-limit 2.0
# For GitHub
export GITHUB_TOKEN=ghp_...
skill-seekers github --repo owner/repo
```
---
### "No content extracted"
**Cause:** Wrong CSS selectors
**Solution:**
```bash
# Find correct selectors
curl -s <url> | grep -i 'article\|main\|content'
# Create config with correct selectors
cat > configs/fix.json << 'EOF'
{
"name": "my-site",
"base_url": "https://example.com/",
"selectors": {
"main_content": "article" # or "main", ".content", etc.
}
}
EOF
skill-seekers create --config configs/fix.json
```
**Common selectors:**
| Site Type | Selector |
|-----------|----------|
| Docusaurus | `article` |
| ReadTheDocs | `[role="main"]` |
| GitBook | `.book-body` |
| MkDocs | `.md-content` |
---
### "Too many pages"
**Cause:** Site larger than max_pages setting
**Solution:**
```bash
# Estimate first
skill-seekers estimate configs/my-config.json
# Increase limit
skill-seekers create <url> --max-pages 1000
# Or limit in config
{
"max_pages": 1000
}
```
---
### "Connection timeout"
**Cause:** Slow server or network issues
**Solution:**
```bash
# Increase timeout
skill-seekers create <url> --timeout 60
# Or in config
{
"timeout": 60
}
```
---
### "SSL certificate error"
**Cause:** Certificate validation failure
**Solution:**
```bash
# Set environment variable (not recommended for production)
export PYTHONWARNINGS="ignore:Unverified HTTPS request"
# Or use requests settings in config
{
"verify_ssl": false
}
```
---
## Enhancement Issues
### "Enhancement failed: No API key"
**Cause:** ANTHROPIC_API_KEY not set
**Solution:**
```bash
# Set API key
export ANTHROPIC_API_KEY=sk-ant-...
# Or use LOCAL mode
skill-seekers enhance output/my-skill/ --agent local
```
---
### "Claude Code not found" (LOCAL mode)
**Cause:** Claude Code not installed
**Solution:**
```bash
# Install Claude Code
# See: https://claude.ai/code
# Or use API mode
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers enhance output/my-skill/ --agent api
```
---
### "Enhancement timeout"
**Cause:** Enhancement taking too long
**Solution:**
```bash
# Increase timeout
skill-seekers enhance output/my-skill/ --timeout 1200
# Use background mode
skill-seekers enhance output/my-skill/ --background
skill-seekers enhance-status output/my-skill/ --watch
```
---
### "Workflow not found"
**Cause:** Typo or workflow doesn't exist
**Solution:**
```bash
# List available workflows
skill-seekers workflows list
# Check spelling
skill-seekers create <source> --enhance-workflow security-focus
```
---
## Packaging Issues
### "Package validation failed"
**Cause:** SKILL.md missing or malformed
**Solution:**
```bash
# Check structure
ls output/my-skill/
# Should contain:
# - SKILL.md
# - references/
# Rebuild if needed
skill-seekers create --config my-config --skip-scrape
# Or recreate
skill-seekers create <source>
```
---
### "Target platform not supported"
**Cause:** Typo in target name
**Solution:**
```bash
# List valid targets
skill-seekers package --help
# Valid targets:
# claude, gemini, openai, langchain, llama-index,
# haystack, pinecone, chroma, weaviate, qdrant, faiss, markdown
```
---
### "Out of memory"
**Cause:** Skill too large for available RAM
**Solution:**
```bash
# Use streaming mode
skill-seekers package output/my-skill/ --streaming
# Reduce chunk size
skill-seekers package output/my-skill/ \
--streaming \
--chunk-size 1000
```
---
## Upload Issues
### "Upload failed: Invalid API key"
**Cause:** Wrong or missing API key
**Solution:**
```bash
# Claude
export ANTHROPIC_API_KEY=sk-ant-...
# Gemini
export GOOGLE_API_KEY=AIza...
# OpenAI
export OPENAI_API_KEY=sk-...
# Verify
echo $ANTHROPIC_API_KEY
```
---
### "Upload failed: Network error"
**Cause:** Connection issues
**Solution:**
```bash
# Check connection
ping api.anthropic.com
# Retry
skill-seekers upload output/my-skill-claude.zip --target claude
# Or upload manually through web interface
```
---
### "Upload failed: File too large"
**Cause:** Package exceeds platform limits
**Solution:**
```bash
# Check size
ls -lh output/my-skill-claude.zip
# Use streaming mode
skill-seekers package output/my-skill/ --streaming
# Or split into smaller skills
skill-seekers workflows split-config configs/my-config.json
```
---
## GitHub Issues
### "GitHub API rate limit"
**Cause:** Unauthenticated requests limited to 60/hour
**Solution:**
```bash
# Set token
export GITHUB_TOKEN=ghp_...
# Create token: https://github.com/settings/tokens
# Needs: repo, read:org (for private repos)
```
---
### "Repository not found"
**Cause:** Private repo or wrong name
**Solution:**
```bash
# Check repo exists
https://github.com/owner/repo
# Set token for private repos
export GITHUB_TOKEN=ghp_...
# Correct format
skill-seekers github --repo owner/repo
```
---
### "No code found"
**Cause:** Empty repo or wrong branch
**Solution:**
```bash
# Check repo has code
# Specify branch in config
{
"type": "github",
"repo": "owner/repo",
"branch": "main"
}
```
---
## PDF Issues
### "PDF is encrypted"
**Cause:** Password-protected PDF
**Solution:**
```bash
# Add password to config
{
"type": "pdf",
"pdf_path": "protected.pdf",
"password": "secret123"
}
```
---
### "OCR failed"
**Cause:** Scanned PDF without OCR
**Solution:**
```bash
# Enable OCR
skill-seekers pdf --pdf scanned.pdf --enable-ocr
# Install OCR dependencies
pip install skill-seekers[pdf-ocr]
# System: apt-get install tesseract-ocr
```
---
## Configuration Issues
### "Invalid config JSON"
**Cause:** Syntax error in config file
**Solution:**
```bash
# Validate JSON
python -m json.tool configs/my-config.json
# Or use online validator
# jsonlint.com
```
---
### "Config not found"
**Cause:** Wrong path or missing file
**Solution:**
```bash
# Check file exists
ls configs/my-config.json
# Use absolute path
skill-seekers create --config /full/path/to/config.json
# Or list available
skill-seekers estimate --all
```
---
## Performance Issues
### "Scraping is too slow"
**Solutions:**
```bash
# Use async mode
skill-seekers create <url> --async --workers 5
# Reduce rate limit (for your own servers)
skill-seekers create <url> --rate-limit 0.1
# Skip enhancement
skill-seekers create <url> --enhance-level 0
```
---
### "Out of disk space"
**Solutions:**
```bash
# Check usage
du -sh output/
# Clean old skills
rm -rf output/old-skill/
# Use streaming mode
skill-seekers create <url> --streaming
```
---
### "High memory usage"
**Solutions:**
```bash
# Use streaming mode
skill-seekers create <url> --streaming
skill-seekers package output/my-skill/ --streaming
# Reduce workers
skill-seekers create <url> --workers 1
# Limit pages
skill-seekers create <url> --max-pages 100
```
---
## Getting Help
### Debug Mode
```bash
# Enable verbose logging
skill-seekers create <source> --verbose
# Or environment variable
export SKILL_SEEKERS_DEBUG=1
```
### Check Logs
```bash
# Enable file logging
export SKILL_SEEKERS_LOG_FILE=/tmp/skill-seekers.log
# Tail logs
tail -f /tmp/skill-seekers.log
```
### Create Minimal Reproduction
```bash
# Create test config
cat > test-config.json << 'EOF'
{
"name": "test",
"base_url": "https://example.com/",
"max_pages": 5
}
EOF
# Run with debug
skill-seekers create --config test-config.json --verbose --dry-run
```
---
## Report an Issue
If none of these solutions work:
1. **Gather info:**
```bash
skill-seekers --version
python --version
pip show skill-seekers
```
2. **Enable debug:**
```bash
skill-seekers <command> --verbose 2>&1 | tee debug.log
```
3. **Create issue:**
- https://github.com/yusufkaraaslan/Skill_Seekers/issues
- Include: error message, command used, debug log
---
## Error Reference
| Error Code | Meaning | Solution |
|------------|---------|----------|
| `E001` | Config not found | Check path |
| `E002` | Invalid config | Validate JSON |
| `E003` | Network error | Check connection |
| `E004` | Rate limited | Slow down or use token |
| `E005` | Scraping failed | Check selectors |
| `E006` | Enhancement failed | Check API key |
| `E007` | Packaging failed | Check skill structure |
| `E008` | Upload failed | Check API key |
---
## Still Stuck?
- **Documentation:** https://skillseekersweb.com/
- **GitHub Issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
- **Discussions:** Share your use case
---
*Last updated: 2026-02-16*

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# Documentation Architecture
> **How Skill Seekers documentation is organized**
---
## Philosophy
Our documentation follows these principles:
1. **Progressive Disclosure** - Start simple, add complexity as needed
2. **Task-Oriented** - Organized by what users want to do
3. **Single Source of Truth** - One authoritative reference per topic
4. **Version Current** - Always reflect the latest release
---
## Directory Structure
```
docs/
├── README.md # Entry point - navigation hub
├── ARCHITECTURE.md # This file
│
├── getting-started/ # New users (lowest cognitive load)
│ ├── 01-installation.md
│ ├── 02-quick-start.md
│ ├── 03-your-first-skill.md
│ └── 04-next-steps.md
│
├── user-guide/ # Common tasks (practical focus)
│ ├── 01-core-concepts.md
│ ├── 02-scraping.md
│ ├── 03-enhancement.md
│ ├── 04-packaging.md
│ ├── 05-workflows.md
│ └── 06-troubleshooting.md
│
├── reference/ # Technical details (comprehensive)
│ ├── CLI_REFERENCE.md
│ ├── MCP_REFERENCE.md
│ ├── CONFIG_FORMAT.md
│ └── ENVIRONMENT_VARIABLES.md
│
└── advanced/ # Power users (specialized)
├── mcp-server.md
├── mcp-tools.md
├── custom-workflows.md
└── multi-source.md
```
---
## Category Guidelines
### Getting Started
**Purpose:** Get new users to their first success quickly
**Characteristics:**
- Minimal prerequisites
- Step-by-step instructions
- Copy-paste ready commands
- Screenshots/output examples
**Files:**
- `01-installation.md` - Install the tool
- `02-quick-start.md` - 3 commands to first skill
- `03-your-first-skill.md` - Complete walkthrough
- `04-next-steps.md` - Where to go after first success
---
### User Guide
**Purpose:** Teach common tasks and concepts
**Characteristics:**
- Task-oriented
- Practical examples
- Best practices
- Common patterns
**Files:**
- `01-core-concepts.md` - How it works
- `02-scraping.md` - All scraping options
- `03-enhancement.md` - AI enhancement
- `04-packaging.md` - Platform export
- `05-workflows.md` - Workflow presets
- `06-troubleshooting.md` - Problem solving
---
### Reference
**Purpose:** Authoritative technical information
**Characteristics:**
- Comprehensive
- Precise
- Organized for lookup
- Always accurate
**Files:**
- `CLI_REFERENCE.md` - All 20 CLI commands
- `MCP_REFERENCE.md` - 26 MCP tools
- `CONFIG_FORMAT.md` - JSON schema
- `ENVIRONMENT_VARIABLES.md` - All env vars
---
### Advanced
**Purpose:** Specialized topics for power users
**Characteristics:**
- Assumes basic knowledge
- Deep dives
- Complex scenarios
- Integration topics
**Files:**
- `mcp-server.md` - MCP server setup
- `mcp-tools.md` - Advanced MCP usage
- `custom-workflows.md` - Creating workflows
- `multi-source.md` - Unified scraping
---
## Naming Conventions
### Files
- **getting-started:** `01-topic.md` (numbered for order)
- **user-guide:** `01-topic.md` (numbered for order)
- **reference:** `TOPIC_REFERENCE.md` (uppercase, descriptive)
- **advanced:** `topic.md` (lowercase, specific)
### Headers
- H1: Title with version
- H2: Major sections
- H3: Subsections
- H4: Details
Example:
```markdown
# Topic Guide
> **Skill Seekers v3.1.0**
## Major Section
### Subsection
#### Detail
```
---
## Cross-References
Link to related docs using relative paths:
```markdown
<!-- Within same directory -->
See [Troubleshooting](06-troubleshooting.md)
<!-- Up one directory, then into reference -->
See [CLI Reference](../reference/CLI_REFERENCE.md)
<!-- Up two directories (to root) -->
See [Contributing](../../CONTRIBUTING.md)
```
---
## Maintenance
### Keeping Docs Current
1. **Update with code changes** - Docs must match implementation
2. **Version in header** - Keep version current
3. **Last updated date** - Track freshness
4. **Deprecate old files** - Don't delete, redirect
### Review Checklist
Before committing docs:
- [ ] Commands actually work (tested)
- [ ] No phantom commands documented
- [ ] Links work
- [ ] Version number correct
- [ ] Date updated
---
## Adding New Documentation
### New User Guide
1. Add to `user-guide/` with next number
2. Update `docs/README.md` navigation
3. Add to table of contents
4. Link from related guides
### New Reference
1. Add to `reference/` with `_REFERENCE` suffix
2. Update `docs/README.md` navigation
3. Link from user guides
4. Add to troubleshooting if relevant
### New Advanced Topic
1. Add to `advanced/` with descriptive name
2. Update `docs/README.md` navigation
3. Link from appropriate user guide
---
## Deprecation Strategy
When content becomes outdated:
1. **Don't delete immediately** - Breaks external links
2. **Add deprecation notice**:
```markdown
> ⚠️ **DEPRECATED**: This document is outdated.
> See [New Guide](path/to/new.md) for current information.
```
3. **Move to archive** after 6 months:
```
docs/archive/legacy/
```
4. **Update navigation** to remove deprecated links
---
## Contributing
### Doc Changes
1. Edit relevant file
2. Test all commands
3. Update version/date
4. Submit PR
### New Doc
1. Choose appropriate category
2. Follow naming conventions
3. Add to README.md
4. Cross-link related docs
---
## See Also
- [Docs README](README.md) - Navigation hub
- [Contributing Guide](../CONTRIBUTING.md) - How to contribute
- [Repository README](../README.md) - Project overview

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# Skill Seekers Documentation
> **Complete documentation for Skill Seekers v3.1.0**
---
## Welcome!
This is the official documentation for **Skill Seekers** - the universal tool for converting documentation, code, and PDFs into AI-ready skills.
---
## Where Should I Start?
### 🚀 I'm New Here
Start with our **Getting Started** guides:
1. [Installation](getting-started/01-installation.md) - Install Skill Seekers
2. [Quick Start](getting-started/02-quick-start.md) - Create your first skill in 3 commands
3. [Your First Skill](getting-started/03-your-first-skill.md) - Complete walkthrough
4. [Next Steps](getting-started/04-next-steps.md) - Where to go from here
### 📖 I Want to Learn
Explore our **User Guides**:
- [Core Concepts](user-guide/01-core-concepts.md) - How Skill Seekers works
- [Scraping Guide](user-guide/02-scraping.md) - All scraping options
- [Enhancement Guide](user-guide/03-enhancement.md) - AI enhancement explained
- [Packaging Guide](user-guide/04-packaging.md) - Export to platforms
- [Workflows Guide](user-guide/05-workflows.md) - Enhancement workflows
- [Troubleshooting](user-guide/06-troubleshooting.md) - Common issues
### 📚 I Need Reference
Look up specific information:
- [CLI Reference](reference/CLI_REFERENCE.md) - All 20 commands
- [MCP Reference](reference/MCP_REFERENCE.md) - 26 MCP tools
- [Config Format](reference/CONFIG_FORMAT.md) - JSON specification
- [Environment Variables](reference/ENVIRONMENT_VARIABLES.md) - All env vars
### 🚀 I'm Ready for Advanced Topics
Power user features:
- [MCP Server Setup](advanced/mcp-server.md) - MCP integration
- [MCP Tools Deep Dive](advanced/mcp-tools.md) - Advanced MCP usage
- [Custom Workflows](advanced/custom-workflows.md) - Create workflows
- [Multi-Source Scraping](advanced/multi-source.md) - Combine sources
---
## Quick Reference
### The 3 Commands
```bash
# 1. Install
pip install skill-seekers
# 2. Create skill
skill-seekers create https://docs.django.com/
# 3. Package for Claude
skill-seekers package output/django --target claude
```
### Common Commands
```bash
# Scrape documentation
skill-seekers scrape --config react
# Analyze GitHub repo
skill-seekers github --repo facebook/react
# Extract PDF
skill-seekers pdf manual.pdf --name docs
# Analyze local code
skill-seekers analyze --directory ./my-project
# Enhance skill
skill-seekers enhance output/my-skill/
# Package for platform
skill-seekers package output/my-skill/ --target claude
# Upload
skill-seekers upload output/my-skill-claude.zip
# List workflows
skill-seekers workflows list
```
---
## Documentation Structure
```
docs/
├── README.md # This file - start here
├── ARCHITECTURE.md # How docs are organized
│
├── getting-started/ # For new users
│ ├── 01-installation.md
│ ├── 02-quick-start.md
│ ├── 03-your-first-skill.md
│ └── 04-next-steps.md
│
├── user-guide/ # Common tasks
│ ├── 01-core-concepts.md
│ ├── 02-scraping.md
│ ├── 03-enhancement.md
│ ├── 04-packaging.md
│ ├── 05-workflows.md
│ └── 06-troubleshooting.md
│
├── reference/ # Technical reference
│ ├── CLI_REFERENCE.md # 20 commands
│ ├── MCP_REFERENCE.md # 26 MCP tools
│ ├── CONFIG_FORMAT.md # JSON spec
│ └── ENVIRONMENT_VARIABLES.md
│
└── advanced/ # Power user topics
├── mcp-server.md
├── mcp-tools.md
├── custom-workflows.md
└── multi-source.md
```
---
## By Use Case
### I Want to Build AI Skills
For Claude, Gemini, ChatGPT:
1. [Quick Start](getting-started/02-quick-start.md)
2. [Enhancement Guide](user-guide/03-enhancement.md)
3. [Workflows Guide](user-guide/05-workflows.md)
### I Want to Build RAG Pipelines
For LangChain, LlamaIndex, vector DBs:
1. [Core Concepts](user-guide/01-core-concepts.md)
2. [Packaging Guide](user-guide/04-packaging.md)
3. [MCP Reference](reference/MCP_REFERENCE.md)
### I Want AI Coding Assistance
For Cursor, Windsurf, Cline:
1. [Your First Skill](getting-started/03-your-first-skill.md)
2. [Local Codebase Analysis](user-guide/02-scraping.md#local-codebase-analysis)
3. `skill-seekers install-agent --agent cursor`
---
## Version Information
- **Current Version:** 3.1.0
- **Last Updated:** 2026-02-16
- **Python Required:** 3.10+
---
## Contributing to Documentation
Found an issue? Want to improve docs?
1. Edit files in the `docs/` directory
2. Follow the existing structure
3. Submit a PR
See [Contributing Guide](../CONTRIBUTING.md) for details.
---
## External Links
- **Main Repository:** https://github.com/yusufkaraaslan/Skill_Seekers
- **Website:** https://skillseekersweb.com/
- **PyPI:** https://pypi.org/project/skill-seekers/
- **Issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
---
## License
MIT License - see [LICENSE](../LICENSE) file.
---
*Happy skill building! 🚀*

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# Custom Workflows Guide
> **Skill Seekers v3.1.0**
> **Create custom AI enhancement workflows**
---
## What are Custom Workflows?
Workflows are YAML-defined, multi-stage AI enhancement pipelines:
```yaml
my-workflow.yaml
├── name
├── description
├── variables (optional)
└── stages (1-10)
├── name
├── type (builtin/custom)
├── target (skill_md/references/)
├── prompt
└── uses_history (optional)
```
---
## Basic Workflow Structure
```yaml
name: my-custom
description: Custom enhancement workflow
stages:
- name: stage-one
type: builtin
target: skill_md
prompt: |
Improve the SKILL.md by adding...
- name: stage-two
type: custom
target: references
prompt: |
Enhance the references by...
```
---
## Workflow Fields
### Top Level
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Workflow identifier |
| `description` | No | Human-readable description |
| `variables` | No | Configurable variables |
| `stages` | Yes | Array of stage definitions |
### Stage Fields
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Stage identifier |
| `type` | Yes | `builtin` or `custom` |
| `target` | Yes | `skill_md` or `references` |
| `prompt` | Yes | AI prompt text |
| `uses_history` | No | Access previous stage results |
---
## Creating Your First Workflow
### Example: Performance Analysis
```yaml
# performance.yaml
name: performance-focus
description: Analyze and document performance characteristics
variables:
target_latency: "100ms"
target_throughput: "1000 req/s"
stages:
- name: performance-overview
type: builtin
target: skill_md
prompt: |
Add a "Performance" section to SKILL.md covering:
- Benchmark results
- Performance characteristics
- Resource requirements
- name: optimization-guide
type: custom
target: references
uses_history: true
prompt: |
Create an optimization guide with:
- Target latency: {target_latency}
- Target throughput: {target_throughput}
- Common bottlenecks
- Optimization techniques
```
### Install and Use
```bash
# Add workflow
skill-seekers workflows add performance.yaml
# Use it
skill-seekers create <source> --enhance-workflow performance-focus
# With custom variables
skill-seekers create <source> \
--enhance-workflow performance-focus \
--var target_latency=50ms \
--var target_throughput=5000req/s
```
---
## Stage Types
### builtin
Uses built-in enhancement logic:
```yaml
stages:
- name: structure-improvement
type: builtin
target: skill_md
prompt: "Improve document structure"
```
### custom
Full custom prompt control:
```yaml
stages:
- name: custom-analysis
type: custom
target: skill_md
prompt: |
Your detailed custom prompt here...
Can use {variables} and {history}
```
---
## Targets
### skill_md
Enhances the main SKILL.md file:
```yaml
stages:
- name: improve-skill
target: skill_md
prompt: "Add comprehensive overview section"
```
### references
Enhances reference files:
```yaml
stages:
- name: improve-refs
target: references
prompt: "Add cross-references between files"
```
---
## Variables
### Defining Variables
```yaml
variables:
audience: "beginners"
focus_area: "security"
include_examples: true
```
### Using Variables
```yaml
stages:
- name: customize
prompt: |
Tailor content for {audience}.
Focus on {focus_area}.
Include examples: {include_examples}
```
### Overriding at Runtime
```bash
skill-seekers create <source> \
--enhance-workflow my-workflow \
--var audience=experts \
--var focus_area=performance
```
---
## History Passing
Access results from previous stages:
```yaml
stages:
- name: analyze
type: custom
target: skill_md
prompt: "Analyze security features"
- name: document
type: custom
target: skill_md
uses_history: true
prompt: |
Based on previous analysis:
{previous_results}
Create documentation...
```
---
## Advanced Example: Security Review
```yaml
name: comprehensive-security
description: Multi-stage security analysis
variables:
compliance_framework: "OWASP Top 10"
risk_level: "high"
stages:
- name: asset-inventory
type: builtin
target: skill_md
prompt: |
Document all security-sensitive components:
- Authentication mechanisms
- Authorization checks
- Data validation
- Encryption usage
- name: threat-analysis
type: custom
target: skill_md
uses_history: true
prompt: |
Based on assets: {all_history}
Analyze threats for {compliance_framework}:
- Threat vectors
- Attack scenarios
- Risk ratings ({risk_level} focus)
- name: mitigation-guide
type: custom
target: references
uses_history: true
prompt: |
Create mitigation guide:
- Countermeasures
- Best practices
- Code examples
- Testing strategies
```
---
## Validation
### Validate Before Installing
```bash
skill-seekers workflows validate ./my-workflow.yaml
```
### Common Errors
| Error | Cause | Fix |
|-------|-------|-----|
| `Missing 'stages'` | No stages array | Add stages: |
| `Invalid type` | Not builtin/custom | Check type field |
| `Undefined variable` | Used but not defined | Add to variables: |
---
## Best Practices
### 1. Start Simple
```yaml
# Start with 1-2 stages
name: simple
description: Simple workflow
stages:
- name: improve
type: builtin
target: skill_md
prompt: "Improve SKILL.md"
```
### 2. Use Clear Stage Names
```yaml
# Good
stages:
- name: security-overview
- name: vulnerability-analysis
# Bad
stages:
- name: stage1
- name: step2
```
### 3. Document Variables
```yaml
variables:
# Target audience level: beginner, intermediate, expert
audience: "intermediate"
# Security focus area: owasp, pci, hipaa
compliance: "owasp"
```
### 4. Test Incrementally
```bash
# Test with dry run
skill-seekers create <source> \
--enhance-workflow my-workflow \
--workflow-dry-run
# Then actually run
skill-seekers create <source> \
--enhance-workflow my-workflow
```
### 5. Chain for Complex Analysis
```bash
# Use multiple workflows
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow performance-focus
```
---
## Sharing Workflows
### Export Workflow
```bash
# Get workflow content
skill-seekers workflows show my-workflow > my-workflow.yaml
```
### Share with Team
```bash
# Add to version control
git add my-workflow.yaml
git commit -m "Add custom security workflow"
# Team members install
skill-seekers workflows add my-workflow.yaml
```
### Publish
Submit to Skill Seekers community:
- GitHub Discussions
- Skill Seekers website
- Documentation contributions
---
## See Also
- [Workflows Guide](../user-guide/05-workflows.md) - Using workflows
- [MCP Reference](../reference/MCP_REFERENCE.md) - Workflows via MCP
- [Enhancement Guide](../user-guide/03-enhancement.md) - Enhancement fundamentals

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# MCP Server Setup Guide
> **Skill Seekers v3.1.0**
> **Integrate with AI agents via Model Context Protocol**
---
## What is MCP?
MCP (Model Context Protocol) lets AI agents like Claude Code control Skill Seekers through natural language:
```
You: "Scrape the React documentation"
Claude: ▶️ scrape_docs({"url": "https://react.dev/"})
✅ Done! Created output/react/
```
---
## Installation
```bash
# Install with MCP support
pip install skill-seekers[mcp]
# Verify
skill-seekers-mcp --version
```
---
## Transport Modes
### stdio Mode (Default)
For Claude Code, VS Code + Cline:
```bash
skill-seekers-mcp
```
**Use when:**
- Running in Claude Code
- Direct integration with terminal-based agents
- Simple local setup
---
### HTTP Mode
For Cursor, Windsurf, HTTP clients:
```bash
# Start HTTP server
skill-seekers-mcp --transport http --port 8765
# Custom host
skill-seekers-mcp --transport http --host 0.0.0.0 --port 8765
```
**Use when:**
- IDE integration (Cursor, Windsurf)
- Remote access needed
- Multiple clients
---
## Claude Code Integration
### Automatic Setup
```bash
# In Claude Code, run:
/claude add-mcp-server skill-seekers
```
Or manually add to `~/.claude/mcp.json`:
```json
{
"mcpServers": {
"skill-seekers": {
"command": "skill-seekers-mcp",
"env": {
"ANTHROPIC_API_KEY": "sk-ant-...",
"GITHUB_TOKEN": "ghp_..."
}
}
}
}
```
### Usage
Once connected, ask Claude:
```
"List available configs"
"Scrape the Django documentation"
"Package output/react for Gemini"
"Enhance output/my-skill with security-focus workflow"
```
---
## Cursor IDE Integration
### Setup
1. Start MCP server:
```bash
skill-seekers-mcp --transport http --port 8765
```
2. In Cursor Settings → MCP:
- Name: `skill-seekers`
- URL: `http://localhost:8765`
### Usage
In Cursor chat:
```
"Create a skill from the current project"
"Analyze this codebase and generate a cursorrules file"
```
---
## Windsurf Integration
### Setup
1. Start MCP server:
```bash
skill-seekers-mcp --transport http --port 8765
```
2. In Windsurf Settings:
- Add MCP server endpoint: `http://localhost:8765`
---
## Available Tools
26 tools organized by category:
### Core Tools (9)
- `list_configs` - List presets
- `generate_config` - Create config from URL
- `validate_config` - Check config
- `estimate_pages` - Page estimation
- `scrape_docs` - Scrape documentation
- `package_skill` - Package skill
- `upload_skill` - Upload to platform
- `enhance_skill` - AI enhancement
- `install_skill` - Complete workflow
### Extended Tools (9)
- `scrape_github` - GitHub repo
- `scrape_pdf` - PDF extraction
- `scrape_codebase` - Local code
- `unified_scrape` - Multi-source
- `detect_patterns` - Pattern detection
- `extract_test_examples` - Test examples
- `build_how_to_guides` - How-to guides
- `extract_config_patterns` - Config patterns
- `detect_conflicts` - Doc/code conflicts
### Config Sources (5)
- `add_config_source` - Register git source
- `list_config_sources` - List sources
- `remove_config_source` - Remove source
- `fetch_config` - Fetch configs
- `submit_config` - Submit configs
### Vector DB (4)
- `export_to_weaviate`
- `export_to_chroma`
- `export_to_faiss`
- `export_to_qdrant`
See [MCP Reference](../reference/MCP_REFERENCE.md) for full details.
---
## Common Workflows
### Workflow 1: Documentation Skill
```
User: "Create a skill from React docs"
Claude: ▶️ scrape_docs({"url": "https://react.dev/"})
⏳ Scraping...
✅ Created output/react/
▶️ package_skill({"skill_directory": "output/react/", "target": "claude"})
✅ Created output/react-claude.zip
Skill ready! Upload to Claude?
```
### Workflow 2: GitHub Analysis
```
User: "Analyze the facebook/react repo"
Claude: ▶️ scrape_github({"repo": "facebook/react"})
⏳ Analyzing...
✅ Created output/react/
▶️ enhance_skill({"skill_directory": "output/react/", "workflow": "architecture-comprehensive"})
✅ Enhanced with architecture analysis
```
### Workflow 3: Multi-Platform Export
```
User: "Create Django skill for all platforms"
Claude: ▶️ scrape_docs({"config": "django"})
✅ Created output/django/
▶️ package_skill({"skill_directory": "output/django/", "target": "claude"})
▶️ package_skill({"skill_directory": "output/django/", "target": "gemini"})
▶️ package_skill({"skill_directory": "output/django/", "target": "openai"})
✅ Created packages for all platforms
```
---
## Configuration
### Environment Variables
Set in `~/.claude/mcp.json` or before starting server:
```bash
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIza...
export OPENAI_API_KEY=sk-...
export GITHUB_TOKEN=ghp_...
```
### Server Options
```bash
# Debug mode
skill-seekers-mcp --verbose
# Custom port
skill-seekers-mcp --port 8080
# Allow all origins (CORS)
skill-seekers-mcp --cors
```
---
## Security
### Local Only (stdio)
```bash
# Only accessible by local Claude Code
skill-seekers-mcp
```
### HTTP with Auth
```bash
# Use reverse proxy with auth
# nginx, traefik, etc.
```
### API Key Protection
```bash
# Don't hardcode keys
# Use environment variables
# Or secret management
```
---
## Troubleshooting
### "Server not found"
```bash
# Check if running
curl http://localhost:8765/health
# Restart
skill-seekers-mcp --transport http --port 8765
```
### "Tool not available"
```bash
# Check version
skill-seekers-mcp --version
# Update
pip install --upgrade skill-seekers[mcp]
```
### "Connection refused"
```bash
# Check port
lsof -i :8765
# Use different port
skill-seekers-mcp --port 8766
```
---
## See Also
- [MCP Reference](../reference/MCP_REFERENCE.md) - Complete tool reference
- [MCP Tools Deep Dive](mcp-tools.md) - Advanced usage
- [MCP Protocol](https://modelcontextprotocol.io/) - Official MCP docs

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# Multi-Source Scraping Guide
> **Skill Seekers v3.1.0**
> **Combine documentation, code, and PDFs into one skill**
---
## What is Multi-Source Scraping?
Combine multiple sources into a single, comprehensive skill:
```
┌──────────────┐
│ Documentation │──┐
│ (Web docs) │ │
└──────────────┘ │
│
┌──────────────┐ │ ┌──────────────────┐
│ GitHub Repo │──┼────▶│ Unified Skill │
│ (Source code)│ │ │ (Single source │
└──────────────┘ │ │ of truth) │
│ └──────────────────┘
┌──────────────┐ │
│ PDF Manual │──┘
│ (Reference) │
└──────────────┘
```
---
## When to Use Multi-Source
### Use Cases
| Scenario | Sources | Benefit |
|----------|---------|---------|
| Framework + Examples | Docs + GitHub repo | Theory + practice |
| Product + API | Docs + OpenAPI spec | Usage + reference |
| Legacy + Current | PDF + Web docs | Complete history |
| Internal + External | Local code + Public docs | Full context |
### Benefits
- **Single source of truth** - One skill with all context
- **Conflict detection** - Find doc/code discrepancies
- **Cross-references** - Link between sources
- **Comprehensive** - No gaps in knowledge
---
## Creating Unified Configs
### Basic Structure
```json
{
"name": "my-framework-complete",
"description": "Complete documentation and code",
"merge_mode": "claude-enhanced",
"sources": [
{
"type": "docs",
"name": "documentation",
"base_url": "https://docs.example.com/"
},
{
"type": "github",
"name": "source-code",
"repo": "owner/repo"
}
]
}
```
---
## Source Types
### 1. Documentation
```json
{
"type": "docs",
"name": "official-docs",
"base_url": "https://docs.framework.com/",
"max_pages": 500,
"categories": {
"getting_started": ["intro", "quickstart"],
"api": ["reference", "api"]
}
}
```
### 2. GitHub Repository
```json
{
"type": "github",
"name": "source-code",
"repo": "facebook/react",
"fetch_issues": true,
"max_issues": 100,
"enable_codebase_analysis": true
}
```
### 3. PDF Document
```json
{
"type": "pdf",
"name": "legacy-manual",
"pdf_path": "docs/legacy-manual.pdf",
"enable_ocr": false
}
```
### 4. Local Codebase
```json
{
"type": "local",
"name": "internal-tools",
"directory": "./internal-lib",
"languages": ["Python", "JavaScript"]
}
```
---
## Complete Example
### React Complete Skill
```json
{
"name": "react-complete",
"description": "React - docs, source, and guides",
"merge_mode": "claude-enhanced",
"sources": [
{
"type": "docs",
"name": "react-docs",
"base_url": "https://react.dev/",
"max_pages": 300,
"categories": {
"getting_started": ["learn", "tutorial"],
"api": ["reference", "hooks"],
"advanced": ["concurrent", "suspense"]
}
},
{
"type": "github",
"name": "react-source",
"repo": "facebook/react",
"fetch_issues": true,
"max_issues": 50,
"enable_codebase_analysis": true,
"code_analysis_depth": "deep"
},
{
"type": "pdf",
"name": "react-patterns",
"pdf_path": "downloads/react-patterns.pdf"
}
],
"conflict_detection": {
"enabled": true,
"rules": [
{
"field": "api_signature",
"action": "flag_mismatch"
},
{
"field": "version",
"action": "warn_outdated"
}
]
},
"output_structure": {
"group_by_source": false,
"cross_reference": true
}
}
```
---
## Running Unified Scraping
### Basic Command
```bash
skill-seekers unified --config react-complete.json
```
### With Options
```bash
# Fresh start (ignore cache)
skill-seekers unified --config react-complete.json --fresh
# Dry run
skill-seekers unified --config react-complete.json --dry-run
# Rule-based merging
skill-seekers unified --config react-complete.json --merge-mode rule-based
```
---
## Merge Modes
### claude-enhanced (Default)
Uses AI to intelligently merge sources:
- Detects relationships between content
- Resolves conflicts intelligently
- Creates cross-references
- Best quality, slower
```bash
skill-seekers unified --config my-config.json --merge-mode claude-enhanced
```
### rule-based
Uses defined rules for merging:
- Faster
- Deterministic
- Less sophisticated
```bash
skill-seekers unified --config my-config.json --merge-mode rule-based
```
---
## Conflict Detection
### Automatic Detection
Finds discrepancies between sources:
```json
{
"conflict_detection": {
"enabled": true,
"rules": [
{
"field": "api_signature",
"action": "flag_mismatch"
},
{
"field": "version",
"action": "warn_outdated"
},
{
"field": "deprecation",
"action": "highlight"
}
]
}
}
```
### Conflict Report
After scraping, check for conflicts:
```bash
# Conflicts are reported in output
ls output/react-complete/conflicts.json
# Or use MCP tool
detect_conflicts({
"docs_source": "output/react-docs",
"code_source": "output/react-source"
})
```
---
## Output Structure
### Merged Output
```
output/react-complete/
├── SKILL.md # Combined skill
├── references/
│ ├── index.md # Master index
│ ├── getting_started.md # From docs
│ ├── api_reference.md # From docs
│ ├── source_overview.md # From GitHub
│ ├── code_examples.md # From GitHub
│ └── patterns.md # From PDF
├── .skill-seekers/
│ ├── manifest.json # Metadata
│ ├── sources.json # Source list
│ └── conflicts.json # Detected conflicts
└── cross-references.json # Links between sources
```
---
## Best Practices
### 1. Name Sources Clearly
```json
{
"sources": [
{"type": "docs", "name": "official-docs"},
{"type": "github", "name": "source-code"},
{"type": "pdf", "name": "legacy-reference"}
]
}
```
### 2. Limit Source Scope
```json
{
"type": "github",
"name": "core-source",
"repo": "owner/repo",
"file_patterns": ["src/**/*.py"], // Only core files
"exclude_patterns": ["tests/**", "docs/**"]
}
```
### 3. Enable Conflict Detection
```json
{
"conflict_detection": {
"enabled": true
}
}
```
### 4. Use Appropriate Merge Mode
- **claude-enhanced** - Best quality, for important skills
- **rule-based** - Faster, for testing or large datasets
### 5. Test Incrementally
```bash
# Test with one source first
skill-seekers create <source1>
# Then add sources
skill-seekers unified --config my-config.json --dry-run
```
---
## Troubleshooting
### "Source not found"
```bash
# Check all sources exist
curl -I https://docs.example.com/
ls downloads/manual.pdf
```
### "Merge conflicts"
```bash
# Check conflicts report
cat output/my-skill/conflicts.json
# Adjust merge_mode
skill-seekers unified --config my-config.json --merge-mode rule-based
```
### "Out of memory"
```bash
# Process sources separately
# Then merge manually
```
---
## Examples
### Framework + Examples
```json
{
"name": "django-complete",
"sources": [
{"type": "docs", "base_url": "https://docs.djangoproject.com/"},
{"type": "github", "repo": "django/django", "fetch_issues": false}
]
}
```
### API + Documentation
```json
{
"name": "stripe-complete",
"sources": [
{"type": "docs", "base_url": "https://stripe.com/docs"},
{"type": "pdf", "pdf_path": "stripe-api-reference.pdf"}
]
}
```
### Legacy + Current
```json
{
"name": "product-docs",
"sources": [
{"type": "docs", "base_url": "https://docs.example.com/v2/"},
{"type": "pdf", "pdf_path": "v1-legacy-manual.pdf"}
]
}
```
---
## See Also
- [Config Format](../reference/CONFIG_FORMAT.md) - Full JSON specification
- [Scraping Guide](../user-guide/02-scraping.md) - Individual source options
- [MCP Reference](../reference/MCP_REFERENCE.md) - unified_scrape tool

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# Installation Guide
> **Skill Seekers v3.1.0**
Get Skill Seekers installed and running in under 5 minutes.
---
## System Requirements
| Requirement | Minimum | Recommended |
|-------------|---------|-------------|
| **Python** | 3.10 | 3.11 or 3.12 |
| **RAM** | 4 GB | 8 GB+ |
| **Disk** | 500 MB | 2 GB+ |
| **OS** | Linux, macOS, Windows (WSL) | Linux, macOS |
---
## Quick Install
### Option 1: pip (Recommended)
```bash
# Basic installation
pip install skill-seekers
# With all platform support
pip install skill-seekers[all-llms]
# Verify installation
skill-seekers --version
```
### Option 2: pipx (Isolated)
```bash
# Install pipx if not available
pip install pipx
pipx ensurepath
# Install skill-seekers
pipx install skill-seekers[all-llms]
```
### Option 3: Development (from source)
```bash
# Clone repository
git clone https://github.com/yusufkaraaslan/Skill_Seekers.git
cd Skill_Seekers
# Install in editable mode
pip install -e ".[all-llms,dev]"
# Verify
skill-seekers --version
```
---
## Installation Options
### Minimal Install
Just the core functionality:
```bash
pip install skill-seekers
```
**Includes:**
- Documentation scraping
- Basic packaging
- Local enhancement (Claude Code)
### Full Install
All features and platforms:
```bash
pip install skill-seekers[all-llms]
```
**Includes:**
- Claude AI support
- Google Gemini support
- OpenAI ChatGPT support
- All vector databases
- MCP server
- Cloud storage (S3, GCS, Azure)
### Custom Install
Install only what you need:
```bash
# Specific platform only
pip install skill-seekers[gemini] # Google Gemini
pip install skill-seekers[openai] # OpenAI
pip install skill-seekers[chroma] # ChromaDB
# Multiple extras
pip install skill-seekers[gemini,openai,chroma]
# Development
pip install skill-seekers[dev]
```
---
## Available Extras
| Extra | Description | Install Command |
|-------|-------------|-----------------|
| `gemini` | Google Gemini support | `pip install skill-seekers[gemini]` |
| `openai` | OpenAI ChatGPT support | `pip install skill-seekers[openai]` |
| `mcp` | MCP server | `pip install skill-seekers[mcp]` |
| `chroma` | ChromaDB export | `pip install skill-seekers[chroma]` |
| `weaviate` | Weaviate export | `pip install skill-seekers[weaviate]` |
| `qdrant` | Qdrant export | `pip install skill-seekers[qdrant]` |
| `faiss` | FAISS export | `pip install skill-seekers[faiss]` |
| `s3` | AWS S3 storage | `pip install skill-seekers[s3]` |
| `gcs` | Google Cloud Storage | `pip install skill-seekers[gcs]` |
| `azure` | Azure Blob Storage | `pip install skill-seekers[azure]` |
| `embedding` | Embedding server | `pip install skill-seekers[embedding]` |
| `all-llms` | All LLM platforms | `pip install skill-seekers[all-llms]` |
| `all` | Everything | `pip install skill-seekers[all]` |
| `dev` | Development tools | `pip install skill-seekers[dev]` |
---
## Post-Installation Setup
### 1. Configure API Keys (Optional)
For AI enhancement and uploads:
```bash
# Interactive configuration wizard
skill-seekers config
# Or set environment variables
export ANTHROPIC_API_KEY=sk-ant-...
export GITHUB_TOKEN=ghp_...
```
### 2. Verify Installation
```bash
# Check version
skill-seekers --version
# See all commands
skill-seekers --help
# Test configuration
skill-seekers config --test
```
### 3. Quick Test
```bash
# List available presets
skill-seekers estimate --all
# Do a dry run
skill-seekers create https://docs.python.org/3/ --dry-run
```
---
## Platform-Specific Notes
### macOS
```bash
# Using Homebrew Python
brew install python@3.12
pip3.12 install skill-seekers[all-llms]
# Or with pyenv
pyenv install 3.12
pyenv global 3.12
pip install skill-seekers[all-llms]
```
### Linux (Ubuntu/Debian)
```bash
# Install Python and pip
sudo apt update
sudo apt install python3-pip python3-venv
# Install skill-seekers
pip3 install skill-seekers[all-llms]
# Make available system-wide
sudo ln -s ~/.local/bin/skill-seekers /usr/local/bin/
```
### Windows
**Recommended:** Use WSL2
```powershell
# Or use Windows directly (PowerShell)
python -m pip install skill-seekers[all-llms]
# Add to PATH if needed
[Environment]::SetEnvironmentVariable("Path", $env:Path + ";$env:APPDATA\Python\Python312\Scripts", "User")
```
### Docker
```bash
# Pull image
docker pull skillseekers/skill-seekers:latest
# Run
docker run -it --rm \
-e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
-v $(pwd)/output:/output \
skillseekers/skill-seekers \
skill-seekers create https://docs.react.dev/
```
---
## Troubleshooting
### "command not found: skill-seekers"
```bash
# Add pip bin to PATH
export PATH="$HOME/.local/bin:$PATH"
# Or reinstall with --user
pip install --user --force-reinstall skill-seekers
```
### Permission denied
```bash
# Don't use sudo with pip
# Instead:
pip install --user skill-seekers
# Or use a virtual environment
python3 -m venv venv
source venv/bin/activate
pip install skill-seekers[all-llms]
```
### Import errors
```bash
# For development installs, ensure editable mode
pip install -e .
# Check installation
python -c "import skill_seekers; print(skill_seekers.__version__)"
```
### Version conflicts
```bash
# Use virtual environment
python3 -m venv skill-seekers-env
source skill-seekers-env/bin/activate
pip install skill-seekers[all-llms]
```
---
## Upgrade
```bash
# Upgrade to latest
pip install --upgrade skill-seekers
# Upgrade with all extras
pip install --upgrade skill-seekers[all-llms]
# Check current version
skill-seekers --version
# See what's new
pip show skill-seekers
```
---
## Uninstall
```bash
pip uninstall skill-seekers
# Clean up config (optional)
rm -rf ~/.config/skill-seekers/
rm -rf ~/.cache/skill-seekers/
```
---
## Next Steps
- [Quick Start Guide](02-quick-start.md) - Create your first skill in 3 commands
- [Your First Skill](03-your-first-skill.md) - Complete walkthrough
---
## Getting Help
```bash
# Command help
skill-seekers --help
skill-seekers create --help
# Documentation
# https://github.com/yusufkaraaslan/Skill_Seekers/tree/main/docs
# Issues
# https://github.com/yusufkaraaslan/Skill_Seekers/issues
```

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# Quick Start Guide
> **Skill Seekers v3.1.0**
> **Create your first skill in 3 commands**
---
## The 3 Commands
```bash
# 1. Install Skill Seekers
pip install skill-seekers
# 2. Create a skill from any source
skill-seekers create https://docs.django.com/
# 3. Package it for your AI platform
skill-seekers package output/django --target claude
```
**That's it!** You now have `output/django-claude.zip` ready to upload.
---
## What You Can Create From
The `create` command auto-detects your source:
| Source Type | Example Command |
|-------------|-----------------|
| **Documentation** | `skill-seekers create https://docs.react.dev/` |
| **GitHub Repo** | `skill-seekers create facebook/react` |
| **Local Code** | `skill-seekers create ./my-project` |
| **PDF File** | `skill-seekers create manual.pdf` |
| **Config File** | `skill-seekers create configs/custom.json` |
---
## Examples by Source
### Documentation Website
```bash
# React documentation
skill-seekers create https://react.dev/
skill-seekers package output/react --target claude
# Django documentation
skill-seekers create https://docs.djangoproject.com/
skill-seekers package output/django --target claude
```
### GitHub Repository
```bash
# React source code
skill-seekers create facebook/react
skill-seekers package output/react --target claude
# Your own repo
skill-seekers create yourusername/yourrepo
skill-seekers package output/yourrepo --target claude
```
### Local Project
```bash
# Your codebase
skill-seekers create ./my-project
skill-seekers package output/my-project --target claude
# Specific directory
cd ~/projects/my-api
skill-seekers create .
skill-seekers package output/my-api --target claude
```
### PDF Document
```bash
# Technical manual
skill-seekers create manual.pdf --name product-docs
skill-seekers package output/product-docs --target claude
# Research paper
skill-seekers create paper.pdf --name research
skill-seekers package output/research --target claude
```
---
## Common Options
### Specify a Name
```bash
skill-seekers create https://docs.example.com/ --name my-docs
```
### Add Description
```bash
skill-seekers create facebook/react --description "React source code analysis"
```
### Dry Run (Preview)
```bash
skill-seekers create https://docs.react.dev/ --dry-run
```
### Skip Enhancement (Faster)
```bash
skill-seekers create https://docs.react.dev/ --enhance-level 0
```
### Use a Preset
```bash
# Quick analysis (1-2 min)
skill-seekers create ./my-project --preset quick
# Comprehensive analysis (20-60 min)
skill-seekers create ./my-project --preset comprehensive
```
---
## Package for Different Platforms
### Claude AI (Default)
```bash
skill-seekers package output/my-skill/
# Creates: output/my-skill-claude.zip
```
### Google Gemini
```bash
skill-seekers package output/my-skill/ --target gemini
# Creates: output/my-skill-gemini.tar.gz
```
### OpenAI ChatGPT
```bash
skill-seekers package output/my-skill/ --target openai
# Creates: output/my-skill-openai.zip
```
### LangChain
```bash
skill-seekers package output/my-skill/ --target langchain
# Creates: output/my-skill-langchain/ directory
```
### Multiple Platforms
```bash
for platform in claude gemini openai; do
skill-seekers package output/my-skill/ --target $platform
done
```
---
## Upload to Platform
### Upload to Claude
```bash
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers upload output/my-skill-claude.zip --target claude
```
### Upload to Gemini
```bash
export GOOGLE_API_KEY=AIza...
skill-seekers upload output/my-skill-gemini.tar.gz --target gemini
```
### Auto-Upload After Package
```bash
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers package output/my-skill/ --target claude --upload
```
---
## Complete One-Command Workflow
Use `install` for everything in one step:
```bash
# Complete: scrape → enhance → package → upload
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers install --config react --target claude
# Skip upload
skill-seekers install --config react --target claude --no-upload
```
---
## Output Structure
After running `create`, you'll have:
```
output/
├── django/ # The skill
│ ├── SKILL.md # Main skill file
│ ├── references/ # Organized documentation
│ │ ├── index.md
│ │ ├── getting_started.md
│ │ └── api_reference.md
│ └── .skill-seekers/ # Metadata
│
└── django-claude.zip # Packaged skill (after package)
```
---
## Time Estimates
| Source Type | Size | Time |
|-------------|------|------|
| Small docs (< 50 pages) | ~10 MB | 2-5 min |
| Medium docs (50-200 pages) | ~50 MB | 10-20 min |
| Large docs (200-500 pages) | ~200 MB | 30-60 min |
| GitHub repo (< 1000 files) | varies | 5-15 min |
| Local project | varies | 2-10 min |
| PDF (< 100 pages) | ~5 MB | 1-3 min |
*Times include scraping + enhancement (level 2). Use `--enhance-level 0` to skip enhancement.*
---
## Quick Tips
### Test First with Dry Run
```bash
skill-seekers create https://docs.example.com/ --dry-run
```
### Use Presets for Faster Results
```bash
# Quick mode for testing
skill-seekers create https://docs.react.dev/ --preset quick
```
### Skip Enhancement for Speed
```bash
skill-seekers create https://docs.react.dev/ --enhance-level 0
skill-seekers enhance output/react/ # Enhance later
```
### Check Available Configs
```bash
skill-seekers estimate --all
```
### Resume Interrupted Jobs
```bash
skill-seekers resume --list
skill-seekers resume <job-id>
```
---
## Next Steps
- [Your First Skill](03-your-first-skill.md) - Complete walkthrough
- [Core Concepts](../user-guide/01-core-concepts.md) - Understand how it works
- [Scraping Guide](../user-guide/02-scraping.md) - All scraping options
---
## Troubleshooting
### "command not found"
```bash
# Add to PATH
export PATH="$HOME/.local/bin:$PATH"
```
### "No module named 'skill_seekers'"
```bash
# Reinstall
pip install --force-reinstall skill-seekers
```
### Scraping too slow
```bash
# Use async mode
skill-seekers create https://docs.react.dev/ --async --workers 5
```
### Out of memory
```bash
# Use streaming mode
skill-seekers package output/large-skill/ --streaming
```
---
## See Also
- [Installation Guide](01-installation.md) - Detailed installation
- [CLI Reference](../reference/CLI_REFERENCE.md) - All commands
- [Config Format](../reference/CONFIG_FORMAT.md) - Custom configurations

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# Your First Skill - Complete Walkthrough
> **Skill Seekers v3.1.0**
> **Step-by-step guide to creating your first skill**
---
## What We'll Build
A skill from the **Django documentation** that you can use with Claude AI.
**Time required:** ~15-20 minutes
**Result:** A comprehensive Django skill with ~400 lines of structured documentation
---
## Prerequisites
```bash
# Ensure skill-seekers is installed
skill-seekers --version
# Should output: skill-seekers 3.1.0
```
---
## Step 1: Choose Your Source
For this walkthrough, we'll use Django documentation. You can use any of these:
```bash
# Option A: Django docs (what we'll use)
https://docs.djangoproject.com/
# Option B: React docs
https://react.dev/
# Option C: Your own project
./my-project
# Option D: GitHub repo
facebook/react
```
---
## Step 2: Preview with Dry Run
Before scraping, let's preview what will happen:
```bash
skill-seekers create https://docs.djangoproject.com/ --dry-run
```
**Expected output:**
```
🔍 Dry Run Preview
==================
Source: https://docs.djangoproject.com/
Type: Documentation website
Estimated pages: ~400
Estimated time: 15-20 minutes
Will create:
- output/django/
- output/django/SKILL.md
- output/django/references/
Configuration:
Rate limit: 0.5s
Max pages: 500
Enhancement: Level 2
✅ Preview complete. Run without --dry-run to execute.
```
This shows you exactly what will happen without actually scraping.
---
## Step 3: Create the Skill
Now let's actually create it:
```bash
skill-seekers create https://docs.djangoproject.com/ --name django
```
**What happens:**
1. **Detection** - Recognizes as documentation website
2. **Crawling** - Discovers pages starting from the base URL
3. **Scraping** - Downloads and extracts content (~5-10 min)
4. **Processing** - Organizes into categories
5. **Enhancement** - AI improves SKILL.md quality (~60 sec)
**Progress output:**
```
🚀 Creating skill: django
📍 Source: https://docs.djangoproject.com/
📋 Type: Documentation
⏳ Phase 1/5: Detecting source type...
✅ Detected: Documentation website
⏳ Phase 2/5: Discovering pages...
✅ Discovered: 387 pages
⏳ Phase 3/5: Scraping content...
Progress: [████████████████████░░░░░] 320/387 pages (83%)
Rate: 1.8 pages/sec | ETA: 37 seconds
⏳ Phase 4/5: Processing and categorizing...
✅ Categories: getting_started, models, views, templates, forms, admin, security
⏳ Phase 5/5: AI enhancement (Level 2)...
✅ SKILL.md enhanced: 423 lines
🎉 Skill created successfully!
Location: output/django/
SKILL.md: 423 lines
References: 7 categories, 42 files
⏱️ Total time: 12 minutes 34 seconds
```
---
## Step 4: Explore the Output
Let's see what was created:
```bash
ls -la output/django/
```
**Output:**
```
output/django/
├── .skill-seekers/ # Metadata
│ └── manifest.json
├── SKILL.md # Main skill file ⭐
├── references/ # Organized docs
│ ├── index.md
│ ├── getting_started.md
│ ├── models.md
│ ├── views.md
│ ├── templates.md
│ ├── forms.md
│ ├── admin.md
│ └── security.md
└── assets/ # Images (if any)
```
### View SKILL.md
```bash
head -50 output/django/SKILL.md
```
**You'll see:**
```markdown
# Django Skill
## Overview
Django is a high-level Python web framework that encourages rapid development
and clean, pragmatic design...
## Quick Reference
### Create a Project
```bash
django-admin startproject mysite
```
### Create an App
```bash
python manage.py startapp myapp
```
## Categories
- [Getting Started](#getting-started)
- [Models](#models)
- [Views](#views)
- [Templates](#templates)
- [Forms](#forms)
- [Admin](#admin)
- [Security](#security)
...
```
### Check References
```bash
ls output/django/references/
cat output/django/references/models.md | head -30
```
---
## Step 5: Package for Claude
Now package it for Claude AI:
```bash
skill-seekers package output/django/ --target claude
```
**Output:**
```
📦 Packaging skill: django
🎯 Target: Claude AI
✅ Validated: SKILL.md (423 lines)
✅ Packaged: output/django-claude.zip
📊 Size: 245 KB
Next steps:
1. Upload to Claude: skill-seekers upload output/django-claude.zip
2. Or manually: Use "Create Skill" in Claude Code
```
---
## Step 6: Upload to Claude
### Option A: Auto-Upload
```bash
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers upload output/django-claude.zip --target claude
```
### Option B: Manual Upload
1. Open [Claude Code](https://claude.ai/code) or Claude Desktop
2. Go to "Skills" or "Projects"
3. Click "Create Skill" or "Upload"
4. Select `output/django-claude.zip`
---
## Step 7: Use Your Skill
Once uploaded, you can ask Claude:
```
"How do I create a Django model with foreign keys?"
"Show me how to use class-based views"
"What's the best way to handle forms in Django?"
"Explain Django's ORM query optimization"
```
Claude will use your skill to provide accurate, contextual answers.
---
## Alternative: Skip Enhancement for Speed
If you want faster results (no AI enhancement):
```bash
# Create without enhancement
skill-seekers create https://docs.djangoproject.com/ --name django --enhance-level 0
# Package
skill-seekers package output/django/ --target claude
# Enhances later if needed
skill-seekers enhance output/django/
```
---
## Alternative: Use a Preset Config
Instead of auto-detection, use a preset:
```bash
# See available presets
skill-seekers estimate --all
# Use Django preset
skill-seekers create --config django
skill-seekers package output/django/ --target claude
```
---
## What You Learned
✅ **Create** - `skill-seekers create <source>` auto-detects and scrapes
✅ **Dry Run** - `--dry-run` previews without executing
✅ **Enhancement** - AI automatically improves SKILL.md quality
✅ **Package** - `skill-seekers package <dir> --target <platform>`
✅ **Upload** - Direct upload or manual import
---
## Common Variations
### GitHub Repository
```bash
skill-seekers create facebook/react --name react
skill-seekers package output/react/ --target claude
```
### Local Project
```bash
cd ~/projects/my-api
skill-seekers create . --name my-api
skill-seekers package output/my-api/ --target claude
```
### PDF Document
```bash
skill-seekers create manual.pdf --name docs
skill-seekers package output/docs/ --target claude
```
### Multi-Platform
```bash
# Create once
skill-seekers create https://docs.djangoproject.com/ --name django
# Package for multiple platforms
skill-seekers package output/django/ --target claude
skill-seekers package output/django/ --target gemini
skill-seekers package output/django/ --target openai
# Upload to each
skill-seekers upload output/django-claude.zip --target claude
skill-seekers upload output/django-gemini.tar.gz --target gemini
```
---
## Troubleshooting
### Scraping Interrupted
```bash
# Resume from checkpoint
skill-seekers resume --list
skill-seekers resume <job-id>
```
### Too Many Pages
```bash
# Limit pages
skill-seekers create https://docs.djangoproject.com/ --max-pages 100
```
### Wrong Content Extracted
```bash
# Use custom config with selectors
cat > configs/django.json << 'EOF'
{
"name": "django",
"base_url": "https://docs.djangoproject.com/",
"selectors": {
"main_content": "#docs-content"
}
}
EOF
skill-seekers create --config configs/django.json
```
---
## Next Steps
- [Next Steps](04-next-steps.md) - Where to go from here
- [Core Concepts](../user-guide/01-core-concepts.md) - Understand the system
- [Scraping Guide](../user-guide/02-scraping.md) - Advanced scraping options
- [Enhancement Guide](../user-guide/03-enhancement.md) - AI enhancement deep dive
---
## Summary
| Step | Command | Time |
|------|---------|------|
| 1 | `skill-seekers create https://docs.djangoproject.com/` | ~15 min |
| 2 | `skill-seekers package output/django/ --target claude` | ~5 sec |
| 3 | `skill-seekers upload output/django-claude.zip` | ~10 sec |
**Total:** ~15 minutes to a production-ready AI skill! 🎉

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# Next Steps
> **Skill Seekers v3.1.0**
> **Where to go after creating your first skill**
---
## You've Created Your First Skill! 🎉
Now what? Here's your roadmap to becoming a Skill Seekers power user.
---
## Immediate Next Steps
### 1. Try Different Sources
You've done documentation. Now try:
```bash
# GitHub repository
skill-seekers create facebook/react --name react
# Local project
skill-seekers create ./my-project --name my-project
# PDF document
skill-seekers create manual.pdf --name manual
```
### 2. Package for Multiple Platforms
Your skill works everywhere:
```bash
# Create once
skill-seekers create https://docs.djangoproject.com/ --name django
# Package for all platforms
for platform in claude gemini openai langchain; do
skill-seekers package output/django/ --target $platform
done
```
### 3. Explore Enhancement Workflows
```bash
# See available workflows
skill-seekers workflows list
# Apply security-focused analysis
skill-seekers create ./my-project --enhance-workflow security-focus
# Chain multiple workflows
skill-seekers create ./my-project \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
```
---
## Learning Path
### Beginner (You Are Here)
✅ Created your first skill
⬜ Try different source types
⬜ Package for multiple platforms
⬜ Use preset configs
**Resources:**
- [Core Concepts](../user-guide/01-core-concepts.md)
- [Scraping Guide](../user-guide/02-scraping.md)
- [Packaging Guide](../user-guide/04-packaging.md)
### Intermediate
⬜ Custom configurations
⬜ Multi-source scraping
⬜ Enhancement workflows
⬜ Vector database export
⬜ MCP server setup
**Resources:**
- [Config Format](../reference/CONFIG_FORMAT.md)
- [Enhancement Guide](../user-guide/03-enhancement.md)
- [Advanced: Multi-Source](../advanced/multi-source.md)
- [Advanced: MCP Server](../advanced/mcp-server.md)
### Advanced
⬜ Custom workflow creation
⬜ Integration with CI/CD
⬜ API programmatic usage
⬜ Contributing to project
**Resources:**
- [Advanced: Custom Workflows](../advanced/custom-workflows.md)
- [MCP Reference](../reference/MCP_REFERENCE.md)
- [API Reference](../advanced/api-reference.md)
- [Contributing Guide](../../CONTRIBUTING.md)
---
## Common Use Cases
### Use Case 1: Team Documentation
**Goal:** Create skills for all your team's frameworks
```bash
# Create a script
for framework in django react vue fastapi; do
echo "Processing $framework..."
skill-seekers install --config $framework --target claude
done
```
### Use Case 2: GitHub Repository Analysis
**Goal:** Analyze your codebase for AI assistance
```bash
# Analyze your repo
skill-seekers create your-org/your-repo --preset comprehensive
# Install to Cursor for coding assistance
skill-seekers install-agent output/your-repo/ --agent cursor
```
### Use Case 3: RAG Pipeline
**Goal:** Feed documentation into vector database
```bash
# Create skill
skill-seekers create https://docs.djangoproject.com/ --name django
# Export to ChromaDB
skill-seekers package output/django/ --target chroma
# Or export directly
export_to_chroma(skill_directory="output/django/")
```
### Use Case 4: Documentation Monitoring
**Goal:** Keep skills up-to-date automatically
```bash
# Check for updates
skill-seekers update --config django --check-only
# Update if changed
skill-seekers update --config django
```
---
## By Interest Area
### For AI Skill Builders
Building skills for Claude, Gemini, or ChatGPT?
**Learn:**
- Enhancement workflows for better quality
- Multi-source combining for comprehensive skills
- Quality scoring before upload
**Commands:**
```bash
skill-seekers quality output/my-skill/ --report
skill-seekers create ./my-project --enhance-workflow architecture-comprehensive
```
### For RAG Engineers
Building retrieval-augmented generation systems?
**Learn:**
- Vector database exports (Chroma, Weaviate, Qdrant, FAISS)
- Chunking strategies
- Embedding integration
**Commands:**
```bash
skill-seekers package output/my-skill/ --target chroma
skill-seekers package output/my-skill/ --target weaviate
skill-seekers package output/my-skill/ --target langchain
```
### For AI Coding Assistant Users
Using Cursor, Windsurf, or Cline?
**Learn:**
- Local codebase analysis
- Agent installation
- Pattern detection
**Commands:**
```bash
skill-seekers create ./my-project --preset comprehensive
skill-seekers install-agent output/my-project/ --agent cursor
```
### For DevOps/SRE
Automating documentation workflows?
**Learn:**
- CI/CD integration
- MCP server setup
- Config sources
**Commands:**
```bash
# Start MCP server
skill-seekers-mcp --transport http --port 8765
# Add config source
skill-seekers workflows add-config-source my-org https://github.com/my-org/configs
```
---
## Recommended Reading Order
### Quick Reference (5 minutes each)
1. [CLI Reference](../reference/CLI_REFERENCE.md) - All commands
2. [Config Format](../reference/CONFIG_FORMAT.md) - JSON specification
3. [Environment Variables](../reference/ENVIRONMENT_VARIABLES.md) - Settings
### User Guides (10-15 minutes each)
1. [Core Concepts](../user-guide/01-core-concepts.md) - How it works
2. [Scraping Guide](../user-guide/02-scraping.md) - Source options
3. [Enhancement Guide](../user-guide/03-enhancement.md) - AI options
4. [Workflows Guide](../user-guide/05-workflows.md) - Preset workflows
5. [Troubleshooting](../user-guide/06-troubleshooting.md) - Common issues
### Advanced Topics (20+ minutes each)
1. [Multi-Source Scraping](../advanced/multi-source.md)
2. [MCP Server Setup](../advanced/mcp-server.md)
3. [Custom Workflows](../advanced/custom-workflows.md)
4. [API Reference](../advanced/api-reference.md)
---
## Join the Community
### Get Help
- **GitHub Issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
- **Discussions:** Share use cases and get advice
- **Discord:** [Link in README]
### Contribute
- **Bug reports:** Help improve the project
- **Feature requests:** Suggest new capabilities
- **Documentation:** Improve these docs
- **Code:** Submit PRs
See [Contributing Guide](../../CONTRIBUTING.md)
### Stay Updated
- **Watch** the GitHub repository
- **Star** the project
- **Follow** on Twitter: @_yUSyUS_
---
## Quick Command Reference
```bash
# Core workflow
skill-seekers create <source> # Create skill
skill-seekers package <dir> --target <p> # Package
skill-seekers upload <file> --target <p> # Upload
# Analysis
skill-seekers analyze --directory <dir> # Local codebase
skill-seekers github --repo <owner/repo> # GitHub repo
skill-seekers pdf --pdf <file> # PDF
# Utilities
skill-seekers estimate <config> # Page estimation
skill-seekers quality <dir> # Quality check
skill-seekers resume # Resume job
skill-seekers workflows list # List workflows
# MCP server
skill-seekers-mcp # Start MCP server
```
---
## Remember
- **Start simple** - Use `create` with defaults
- **Dry run first** - Use `--dry-run` to preview
- **Iterate** - Enhance, package, test, repeat
- **Share** - Package for multiple platforms
- **Automate** - Use `install` for one-command workflows
---
## You're Ready!
Go build something amazing. The documentation is your oyster. 🦪
```bash
# Your next skill awaits
skill-seekers create <your-source-here>
```

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# AI Skill Standards & Best Practices (2026)
**Version:** 1.0
**Last Updated:** 2026-01-11
**Scope:** Cross-platform AI skills for Claude, Gemini, OpenAI, and generic LLMs
## Table of Contents
1. [Introduction](#introduction)
2. [Universal Standards](#universal-standards)
3. [Platform-Specific Guidelines](#platform-specific-guidelines)
4. [Knowledge Base Design Patterns](#knowledge-base-design-patterns)
5. [Quality Grading Rubric](#quality-grading-rubric)
6. [Common Pitfalls](#common-pitfalls)
7. [Future-Proofing](#future-proofing)
---
## Introduction
This document establishes the definitive standards for AI skill creation based on 2026 industry best practices, official platform documentation, and emerging patterns in agentic AI systems.
### What is an AI Skill?
An **AI skill** is a focused knowledge package that enhances an AI agent's capabilities in a specific domain. Skills include:
- **Instructions**: How to use the knowledge
- **Context**: When the skill applies
- **Resources**: Reference documentation, examples, patterns
- **Metadata**: Discovery, versioning, platform compatibility
### Design Philosophy
Modern AI skills follow three core principles:
1. **Progressive Disclosure**: Load information only when needed (metadata → instructions → resources)
2. **Context Economy**: Every token competes with conversation history
3. **Cross-Platform Portability**: Design for the open Agent Skills standard
---
## Universal Standards
These standards apply to **all platforms** (Claude, Gemini, OpenAI, generic).
### 1. Naming Conventions
**Format**: Gerund form (verb + -ing)
**Why**: Clearly describes the activity or capability the skill provides.
**Examples**:
- ✅ "Building React Applications"
- ✅ "Working with Django REST Framework"
- ✅ "Analyzing Godot 4.x Projects"
- ❌ "React Documentation" (passive, unclear)
- ❌ "Django Guide" (vague)
**Implementation**:
```yaml
name: building-react-applications # kebab-case, gerund form
description: Building modern React applications with hooks, routing, and state management
```
### 2. Description Field (Critical for Discovery)
**Format**: Third person, actionable, includes BOTH "what" and "when"
**Why**: Injected into system prompts; inconsistent POV causes discovery problems.
**Structure**:
```
[What it does]. Use when [specific triggers/scenarios].
```
**Examples**:
- ✅ "Building modern React applications with TypeScript, hooks, and routing. Use when implementing React components, managing state, or configuring build tools."
- ✅ "Analyzing Godot 4.x game projects with GDScript patterns. Use when debugging game logic, optimizing performance, or implementing new features in Godot."
- ❌ "I will help you with React" (first person, vague)
- ❌ "Documentation for Django" (no when clause)
### 3. Token Budget (Progressive Disclosure)
**Token Allocation**:
- **Metadata loading**: ~100 tokens (YAML frontmatter + description)
- **Full instructions**: <5,000 tokens (main SKILL.md without references)
- **Bundled resources**: Load on-demand only
**Why**: Token efficiency is critical—unused context wastes capacity.
**Best Practice**:
```markdown
## Quick Reference
*30-second overview with most common patterns*
[Core content - 3,000-4,500 tokens]
## Extended Reference
*See references/api.md for complete API documentation*
```
### 4. Conciseness & Relevance
**Principles**:
- Every sentence must provide **unique value**
- Remove redundancy, filler, and "nice to have" information
- Prioritize **actionable** over **explanatory** content
- Use progressive disclosure: Quick Reference → Deep Dive → References
**Example Transformation**:
**Before** (130 tokens):
```
React is a popular JavaScript library for building user interfaces.
It was created by Facebook and is now maintained by Meta and the
open-source community. React uses a component-based architecture
where you build encapsulated components that manage their own state.
```
**After** (35 tokens):
```
Component-based UI library. Build reusable components with local
state, compose them into complex UIs, and efficiently update the
DOM via virtual DOM reconciliation.
```
### 5. Structure & Organization
**Required Sections** (in order):
```markdown
---
name: skill-name
description: [What + When in third person]
---
# Skill Title
[1-2 sentence elevator pitch]
## 💡 When to Use This Skill
[3-5 specific scenarios with trigger phrases]
## ⚡ Quick Reference
[30-second overview, most common patterns]
## 📝 Code Examples
[Real-world, tested, copy-paste ready]
## 🔧 API Reference
[Core APIs, signatures, parameters - link to full reference]
## 🏗️ Architecture
[Key patterns, design decisions, trade-offs]
## ⚠️ Common Issues
[Known problems, workarounds, gotchas]
## 📚 References
[Links to deeper documentation]
```
**Optional Sections**:
- Installation
- Configuration
- Testing Patterns
- Migration Guides
- Performance Tips
### 6. Code Examples Quality
**Standards**:
- **Tested**: From official docs, test suites, or production code
- **Complete**: Copy-paste ready, not fragments
- **Annotated**: Brief explanation of what/why, not how (code shows how)
- **Progressive**: Basic → Intermediate → Advanced
- **Diverse**: Cover common use cases (80% of user needs)
**Format**:
```markdown
### Example: User Authentication
```typescript
// Complete working example
import { useState } from 'react';
import { signIn } from './auth';
export function LoginForm() {
const [email, setEmail] = useState('');
const [password, setPassword] = useState('');
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault();
await signIn(email, password);
};
return (
<form onSubmit={handleSubmit}>
<input value={email} onChange={e => setEmail(e.target.value)} />
<input type="password" value={password} onChange={e => setPassword(e.target.value)} />
<button type="submit">Sign In</button>
</form>
);
}
```
**Why this works**: Demonstrates state management, event handling, async operations, and TypeScript types in a real-world pattern.
```
### 7. Cross-Platform Compatibility
**File Structure** (Open Agent Skills Standard):
```
skill-name/
├── SKILL.md # Main instructions (<5k tokens)
├── skill.yaml # Metadata (optional, redundant with frontmatter)
├── references/ # On-demand resources
│ ├── api.md
│ ├── patterns.md
│ ├── examples/
│ │ ├── basic.md
│ │ └── advanced.md
│ └── index.md
└── resources/ # Optional: scripts, configs, templates
├── .clinerules
└── templates/
```
**YAML Frontmatter** (required for all platforms):
```yaml
---
name: skill-name # kebab-case, max 64 chars
description: > # What + When, max 1024 chars
Building modern React applications with TypeScript.
Use when implementing React components or managing state.
version: 1.0.0 # Semantic versioning
platforms: # Tested platforms
- claude
- gemini
- openai
- markdown
tags: # Discovery keywords
- react
- typescript
- frontend
- web
---
```
---
## Platform-Specific Guidelines
### Claude AI (Agent Skills)
**Official Standard**: [Agent Skills Best Practices](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices)
**Key Differences**:
- **Discovery**: Description injected into system prompt—must be third person
- **Token limit**: ~5k tokens for main SKILL.md (hard limit for fast loading)
- **Loading behavior**: Claude loads skill when description matches user intent
- **Resource access**: References loaded on-demand via file reads
**Best Practices**:
- Use emojis for section headers (improves scannability): 💡 ⚡ 📝 🔧 🏗️ ⚠️ 📚
- Include "trigger phrases" in description: "when implementing...", "when debugging...", "when configuring..."
- Keep Quick Reference ultra-concise (user sees this first)
- Link to references explicitly: "See `references/api.md` for complete API"
**Example Description**:
```yaml
description: >
Building modern React applications with TypeScript, hooks, and routing.
Use when implementing React components, managing application state,
configuring build tools, or debugging React applications.
```
### Google Gemini (Actions)
**Official Standard**: [Grounding Best Practices](https://ai.google.dev/gemini-api/docs/google-search)
**Key Differences**:
- **Grounding**: Skills can leverage Google Search for real-time information
- **Temperature**: Keep at 1.0 (default) for optimal grounding results
- **Format**: Supports tar.gz packages (not ZIP)
- **Limitations**: No Maps grounding in Gemini 3 (use Gemini 2.5 if needed)
**Grounding Enhancements**:
```markdown
## When to Use This Skill
Use this skill when:
- Implementing React components (skill provides patterns)
- Checking latest React version (grounding provides current info)
- Debugging common errors (skill + grounding = comprehensive solution)
```
**Note**: Grounding costs $14 per 1,000 queries (as of Jan 5, 2026).
### OpenAI (GPT Actions)
**Official Standard**: [Key Guidelines for Custom GPTs](https://help.openai.com/en/articles/9358033-key-guidelines-for-writing-instructions-for-custom-gpts)
**Key Differences**:
- **Multi-step instructions**: Break into simple, atomic steps
- **Trigger/Instruction pairs**: Use delimiters to separate scenarios
- **Thoroughness prompts**: Include "take your time", "take a deep breath", "check your work"
- **Not compatible**: GPT-5.1 reasoning models don't support custom actions yet
**Format**:
```markdown
## Instructions
### When user asks about React state management
1. First, identify the state management need (local vs global)
2. Then, recommend appropriate solution:
- Local state → useState or useReducer
- Global state → Context API or Redux
3. Provide code example matching their use case
4. Finally, explain trade-offs and alternatives
Take your time to understand the user's specific requirements before recommending a solution.
---
### When user asks about React performance
[Similar structured approach]
```
### Generic Markdown (Platform-Agnostic)
**Use Case**: Documentation sites, internal wikis, non-LLM tools
**Format**: Standard markdown with minimal metadata
**Best Practice**: Focus on human readability over token economy
---
## Knowledge Base Design Patterns
Modern AI skills leverage advanced RAG (Retrieval-Augmented Generation) patterns for optimal knowledge delivery.
### 1. Agentic RAG (Recommended for 2026+)
**Pattern**: Multi-query, context-aware retrieval with agent orchestration
**Architecture**:
```
User Query → Agent Plans Retrieval → Multi-Source Fetch →
Context Synthesis → Response Generation → Self-Verification
```
**Benefits**:
- **Adaptive**: Agent adjusts retrieval based on conversation context
- **Accurate**: Multi-query approach reduces hallucination
- **Efficient**: Only retrieves what's needed for current query
**Implementation in Skills**:
```markdown
references/
├── index.md # Navigation hub
├── api/ # API references (structured)
│ ├── components.md
│ ├── hooks.md
│ └── utilities.md
├── patterns/ # Design patterns (by use case)
│ ├── state-management.md
│ └── performance.md
└── examples/ # Code examples (by complexity)
├── basic/
├── intermediate/
└── advanced/
```
**Why**: Agent can navigate structure to find exactly what's needed.
**Sources**:
- [Traditional RAG vs. Agentic RAG - NVIDIA](https://developer.nvidia.com/blog/traditional-rag-vs-agentic-rag-why-ai-agents-need-dynamic-knowledge-to-get-smarter/)
- [What is Agentic RAG? - IBM](https://www.ibm.com/think/topics/agentic-rag)
### 2. GraphRAG (Advanced Use Cases)
**Pattern**: Knowledge graph structures for complex reasoning
**Use Case**: Large codebases, interconnected concepts, architectural analysis
**Structure**:
```markdown
references/
├── entities/ # Nodes in knowledge graph
│ ├── Component.md
│ ├── Hook.md
│ └── Context.md
├── relationships/ # Edges in knowledge graph
│ ├── Component-uses-Hook.md
│ └── Context-provides-State.md
└── graph.json # Machine-readable graph
```
**Benefits**: Multi-hop reasoning, relationship exploration, complex queries
**Sources**:
- [Emerging Patterns in Building GenAI Products - Martin Fowler](https://martinfowler.com/articles/gen-ai-patterns/)
### 3. Multi-Agent Systems (Enterprise Scale)
**Pattern**: Specialized agents for different knowledge domains
**Architecture**:
```
Skill Repository
├── research-agent-skill/ # Explores information space
├── verification-agent-skill/ # Checks factual claims
├── synthesis-agent-skill/ # Combines findings
└── governance-agent-skill/ # Ensures compliance
```
**Use Case**: Enterprise workflows, compliance requirements, multi-domain expertise
**Sources**:
- [4 Agentic AI Design Patterns - AIMultiple](https://research.aimultiple.com/agentic-ai-design-patterns/)
### 4. Reflection Pattern (Quality Assurance)
**Pattern**: Self-evaluation and refinement before finalizing responses
**Implementation**:
```markdown
## Usage Instructions
When providing code examples:
1. Generate initial example
2. Evaluate against these criteria:
- Completeness (can user copy-paste and run?)
- Best practices (follows framework conventions?)
- Security (no vulnerabilities?)
- Performance (efficient patterns?)
3. Refine example based on evaluation
4. Present final version with explanations
```
**Benefits**: Higher quality outputs, fewer errors, better adherence to standards
**Sources**:
- [4 Agentic AI Design Patterns - AIMultiple](https://research.aimultiple.com/agentic-ai-design-patterns/)
### 5. Vector Database Integration
**Pattern**: Semantic search over embeddings for concept-based retrieval
**Use Case**: Large documentation sets, conceptual queries, similarity search
**Structure**:
- Store reference documents as embeddings
- User query → embedding → similarity search → top-k retrieval
- Agent synthesizes retrieved chunks
**Tools**:
- Pinecone, Weaviate, Chroma, Qdrant
- Model Context Protocol (MCP) for standardized access
**Sources**:
- [Anatomy of an AI agent knowledge base - InfoWorld](https://www.infoworld.com/article/4091400/anatomy-of-an-ai-agent-knowledge-base.html)
---
## Quality Grading Rubric
Use this rubric to assess AI skill quality on a **10-point scale**.
### Categories & Weights
| Category | Weight | Description |
|----------|--------|-------------|
| **Discovery & Metadata** | 10% | How easily agents find and load the skill |
| **Conciseness & Token Economy** | 15% | Efficient use of context window |
| **Structural Organization** | 15% | Logical flow, progressive disclosure |
| **Code Example Quality** | 20% | Tested, complete, diverse examples |
| **Accuracy & Correctness** | 20% | Factually correct, up-to-date information |
| **Actionability** | 10% | User can immediately apply knowledge |
| **Cross-Platform Compatibility** | 10% | Works across Claude, Gemini, OpenAI |
### Detailed Scoring
#### 1. Discovery & Metadata (10%)
**10/10 - Excellent**:
- ✅ Name in gerund form, clear and specific
- ✅ Description: third person, what + when, <1024 chars
- ✅ Trigger phrases that match user intent
- ✅ Appropriate tags for discovery
- ✅ Version and platform metadata present
**7/10 - Good**:
- ✅ Name clear but not gerund form
- ✅ Description has what + when but verbose
- ⚠️ Some trigger phrases missing
- ✅ Tags present
**4/10 - Poor**:
- ⚠️ Name vague or passive
- ⚠️ Description missing "when" clause
- ⚠️ No trigger phrases
- ❌ Missing tags
**1/10 - Failing**:
- ❌ No metadata or incomprehensible name
- ❌ Description is first person or generic
#### 2. Conciseness & Token Economy (15%)
**10/10 - Excellent**:
- ✅ Main SKILL.md <5,000 tokens
- ✅ No redundancy or filler content
- ✅ Every sentence provides unique value
- ✅ Progressive disclosure (references on-demand)
- ✅ Quick Reference <500 tokens
**7/10 - Good**:
- ✅ Main SKILL.md <7,000 tokens
- ⚠️ Minor redundancy (5-10% waste)
- ✅ Most content valuable
- ⚠️ Some references inline instead of separate
**4/10 - Poor**:
- ⚠️ Main SKILL.md 7,000-10,000 tokens
- ⚠️ Significant redundancy (20%+ waste)
- ⚠️ Verbose explanations, filler words
- ⚠️ Poor reference organization
**1/10 - Failing**:
- ❌ Main SKILL.md >10,000 tokens
- ❌ Massive redundancy, encyclopedic content
- ❌ No progressive disclosure
#### 3. Structural Organization (15%)
**10/10 - Excellent**:
- ✅ Clear hierarchy: Quick Ref → Core → Extended → References
- ✅ Logical flow (discovery → usage → deep dive)
- ✅ Emojis for scannability
- ✅ Proper use of headings (##, ###)
- ✅ Table of contents for long documents
**7/10 - Good**:
- ✅ Most sections present
- ⚠️ Flow could be improved
- ✅ Headings used correctly
- ⚠️ No emojis or TOC
**4/10 - Poor**:
- ⚠️ Missing key sections
- ⚠️ Illogical flow (advanced before basic)
- ⚠️ Inconsistent heading levels
- ❌ Wall of text, no structure
**1/10 - Failing**:
- ❌ No structure, single massive block
- ❌ Missing required sections
#### 4. Code Example Quality (20%)
**10/10 - Excellent**:
- ✅ 5-10 examples covering 80% of use cases
- ✅ All examples tested/validated
- ✅ Complete (copy-paste ready)
- ✅ Progressive complexity (basic → advanced)
- ✅ Annotated with brief explanations
- ✅ Correct language detection
- ✅ Real-world patterns (not toy examples)
**7/10 - Good**:
- ✅ 3-5 examples
- ✅ Most tested
- ⚠️ Some incomplete (require modification)
- ✅ Some progression
- ⚠️ Light annotations
**4/10 - Poor**:
- ⚠️ 1-2 examples only
- ⚠️ Untested or broken examples
- ⚠️ Fragments, not complete
- ⚠️ All same complexity level
- ❌ No annotations
**1/10 - Failing**:
- ❌ No examples or all broken
- ❌ Incorrect language tags
- ❌ Toy examples only
#### 5. Accuracy & Correctness (20%)
**10/10 - Excellent**:
- ✅ All information factually correct
- ✅ Current best practices (2026)
- ✅ No deprecated patterns
- ✅ Correct API signatures
- ✅ Accurate version information
- ✅ No hallucinated features
**7/10 - Good**:
- ✅ Mostly accurate
- ⚠️ 1-2 minor errors or outdated details
- ✅ Core patterns correct
- ⚠️ Some version ambiguity
**4/10 - Poor**:
- ⚠️ Multiple factual errors
- ⚠️ Deprecated patterns presented as current
- ⚠️ API signatures incorrect
- ⚠️ Mixing versions
**1/10 - Failing**:
- ❌ Fundamentally incorrect information
- ❌ Hallucinated APIs or features
- ❌ Dangerous or insecure patterns
#### 6. Actionability (10%)
**10/10 - Excellent**:
- ✅ User can immediately apply knowledge
- ✅ Step-by-step instructions for complex tasks
- ✅ Common workflows documented
- ✅ Troubleshooting guidance
- ✅ Links to deeper resources when needed
**7/10 - Good**:
- ✅ Most tasks actionable
- ⚠️ Some workflows missing steps
- ✅ Basic troubleshooting present
- ⚠️ Some dead-end references
**4/10 - Poor**:
- ⚠️ Theoretical knowledge, unclear application
- ⚠️ Missing critical steps
- ❌ No troubleshooting
- ⚠️ Broken links
**1/10 - Failing**:
- ❌ Pure reference, no guidance
- ❌ Cannot use information without external help
#### 7. Cross-Platform Compatibility (10%)
**10/10 - Excellent**:
- ✅ Follows Open Agent Skills standard
- ✅ Works on Claude, Gemini, OpenAI, Markdown
- ✅ No platform-specific dependencies
- ✅ Proper file structure
- ✅ Valid YAML frontmatter
**7/10 - Good**:
- ✅ Works on 2-3 platforms
- ⚠️ Minor platform-specific tweaks needed
- ✅ Standard structure
**4/10 - Poor**:
- ⚠️ Only works on 1 platform
- ⚠️ Non-standard structure
- ⚠️ Invalid YAML
**1/10 - Failing**:
- ❌ Platform-locked, proprietary format
- ❌ Cannot be ported
### Overall Grade Calculation
```
Total Score = (Discovery × 0.10) +
(Conciseness × 0.15) +
(Structure × 0.15) +
(Examples × 0.20) +
(Accuracy × 0.20) +
(Actionability × 0.10) +
(Compatibility × 0.10)
```
**Grade Mapping**:
- **9.0-10.0**: A+ (Exceptional, reference quality)
- **8.0-8.9**: A (Excellent, production-ready)
- **7.0-7.9**: B (Good, minor improvements needed)
- **6.0-6.9**: C (Acceptable, significant improvements needed)
- **5.0-5.9**: D (Poor, major rework required)
- **0.0-4.9**: F (Failing, not usable)
---
## Common Pitfalls
### 1. Encyclopedic Content
**Problem**: Including everything about a topic instead of focusing on actionable knowledge.
**Example**:
```markdown
❌ BAD:
React was created by Jordan Walke, a software engineer at Facebook,
in 2011. It was first deployed on Facebook's newsfeed in 2011 and
later on Instagram in 2012. It was open-sourced at JSConf US in May
2013. Over the years, React has evolved significantly...
✅ GOOD:
React is a component-based UI library. Build reusable components,
manage state with hooks, and efficiently update the DOM.
```
**Fix**: Focus on **what the user needs to do**, not history or background.
### 2. First-Person Descriptions
**Problem**: Using "I" or "you" in metadata (breaks Claude discovery).
**Example**:
```yaml
❌ BAD:
description: I will help you build React applications with best practices
✅ GOOD:
description: Building modern React applications with TypeScript, hooks,
and routing. Use when implementing components or managing state.
```
**Fix**: Always use third person in description field.
### 3. Token Waste
**Problem**: Redundant explanations, verbose phrasing, or filler content.
**Example**:
```markdown
❌ BAD (85 tokens):
When you are working on a project and you need to manage state in your
React application, you have several different options available to you.
One option is to use the useState hook, which is great for managing
local component state. Another option is to use useReducer, which is
better for more complex state logic.
✅ GOOD (28 tokens):
State management options:
- Local state → useState (simple values)
- Complex logic → useReducer (state machines)
- Global state → Context API or Redux
```
**Fix**: Use bullet points, remove filler, focus on distinctions.
### 4. Untested Examples
**Problem**: Code examples that don't compile or run.
**Example**:
```typescript
❌ BAD:
function Example() {
const [data, setData] = useState(); // No type, no initial value
useEffect(() => {
fetchData(); // Function doesn't exist
}); // Missing dependency array
return <div>{data}</div>; // TypeScript error
}
✅ GOOD:
interface User {
id: number;
name: string;
}
function Example() {
const [data, setData] = useState<User | null>(null);
useEffect(() => {
fetch('/api/user')
.then(r => r.json())
.then(setData);
}, []); // Empty deps = run once
return <div>{data?.name ?? 'Loading...'}</div>;
}
```
**Fix**: Test all code examples, ensure they compile/run.
### 5. Missing "When to Use"
**Problem**: Description explains what but not when.
**Example**:
```yaml
❌ BAD:
description: Documentation for React hooks and component patterns
✅ GOOD:
description: Building React applications with hooks and components.
Use when implementing UI components, managing state, or optimizing
React performance.
```
**Fix**: Always include "Use when..." or "Use for..." clause.
### 6. Flat Reference Structure
**Problem**: All references in one file or directory, no organization.
**Example**:
```
❌ BAD:
references/
├── everything.md (20,000+ tokens)
✅ GOOD:
references/
├── index.md
├── api/
│ ├── components.md
│ └── hooks.md
├── patterns/
│ ├── state-management.md
│ └── performance.md
└── examples/
├── basic/
└── advanced/
```
**Fix**: Organize by category, enable agent navigation.
### 7. Outdated Information
**Problem**: Including deprecated APIs or old best practices.
**Example**:
```markdown
❌ BAD (deprecated in React 18):
Use componentDidMount() and componentWillUnmount() for side effects.
✅ GOOD (current as of 2026):
Use useEffect() hook for side effects in function components.
```
**Fix**: Regularly update skills, include version info.
---
## Future-Proofing
### Emerging Standards (2026-2030)
1. **Model Context Protocol (MCP)**: Standardizes how agents access tools and data
- Skills will integrate with MCP servers
- Expect MCP endpoints in skill metadata
2. **Multi-Modal Skills**: Beyond text (images, audio, video)
- Include diagram references, video tutorials
- Prepare for vision-capable agents
3. **Skill Composition**: Skills that reference other skills
- Modular architecture (React skill imports TypeScript skill)
- Dependency management for skills
4. **Real-Time Grounding**: Skills + live data sources
- Gemini-style grounding becomes universal
- Skills provide context, grounding provides current data
5. **Federated Skill Repositories**: Decentralized skill discovery
- GitHub-style skill hosting
- Version control, pull requests for skills
### Recommendations
- **Version your skills**: Use semantic versioning (1.0.0, 1.1.0, 2.0.0)
- **Tag platform compatibility**: Specify which platforms/versions tested
- **Document dependencies**: If skill references external APIs or tools
- **Provide migration guides**: When updating major versions
- **Maintain changelog**: Track what changed and why
---
## References
### Official Documentation
- [Claude Agent Skills Best Practices](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices)
- [OpenAI Custom GPT Guidelines](https://help.openai.com/en/articles/9358033-key-guidelines-for-writing-instructions-for-custom-gpts)
- [Google Gemini Grounding Best Practices](https://ai.google.dev/gemini-api/docs/google-search)
### Industry Standards
- [Agent Skills: Anthropic's Next Bid to Define AI Standards - The New Stack](https://thenewstack.io/agent-skills-anthropics-next-bid-to-define-ai-standards/)
- [Claude Skills and CLAUDE.md: a practical 2026 guide for teams](https://www.gend.co/blog/claude-skills-claude-md-guide)
### Design Patterns
- [Emerging Patterns in Building GenAI Products - Martin Fowler](https://martinfowler.com/articles/gen-ai-patterns/)
- [4 Agentic AI Design Patterns - AIMultiple](https://research.aimultiple.com/agentic-ai-design-patterns/)
- [Traditional RAG vs. Agentic RAG - NVIDIA](https://developer.nvidia.com/blog/traditional-rag-vs-agentic-rag-why-ai-agents-need-dynamic-knowledge-to-get-smarter/)
- [What is Agentic RAG? - IBM](https://www.ibm.com/think/topics/agentic-rag)
### Knowledge Base Architecture
- [Anatomy of an AI agent knowledge base - InfoWorld](https://www.infoworld.com/article/4091400/anatomy-of-an-ai-agent-knowledge-base.html)
- [The Next Frontier of RAG: Enterprise Knowledge Systems 2026-2030 - NStarX](https://nstarxinc.com/blog/the-next-frontier-of-rag-how-enterprise-knowledge-systems-will-evolve-2026-2030/)
- [RAG Architecture Patterns For Developers](https://customgpt.ai/rag-architecture-patterns/)
### Community Resources
- [awesome-claude-skills - GitHub](https://github.com/travisvn/awesome-claude-skills)
- [Claude Agent Skills: A First Principles Deep Dive](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/)
---
**Document Maintenance**:
- Review quarterly for platform updates
- Update examples with new framework versions
- Track emerging patterns in AI agent space
- Incorporate community feedback
**Version History**:
- 1.0 (2026-01-11): Initial release based on 2026 standards

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# API Reference - Programmatic Usage
**Version:** 3.1.0-dev
**Last Updated:** 2026-02-18
**Status:** ✅ Production Ready
---
## Overview
Skill Seekers can be used programmatically for integration into other tools, automation scripts, and CI/CD pipelines. This guide covers the public APIs available for developers who want to embed Skill Seekers functionality into their own applications.
**Use Cases:**
- Automated documentation skill generation in CI/CD
- Batch processing multiple documentation sources
- Custom skill generation workflows
- Integration with internal tooling
- Automated skill updates on documentation changes
---
## Installation
### Basic Installation
```bash
pip install skill-seekers
```
### With Platform Dependencies
```bash
# Google Gemini support
pip install skill-seekers[gemini]
# OpenAI ChatGPT support
pip install skill-seekers[openai]
# All platform support
pip install skill-seekers[all-llms]
```
### Development Installation
```bash
git clone https://github.com/yusufkaraaslan/Skill_Seekers.git
cd Skill_Seekers
pip install -e ".[all-llms]"
```
---
## Core APIs
### 1. Documentation Scraping API
Extract content from documentation websites using BFS traversal and smart categorization.
#### Basic Usage
```python
from skill_seekers.cli.doc_scraper import scrape_all, build_skill
import json
# Load configuration
with open('configs/react.json', 'r') as f:
config = json.load(f)
# Scrape documentation
pages = scrape_all(
base_url=config['base_url'],
selectors=config['selectors'],
config=config,
output_dir='output/react_data'
)
print(f"Scraped {len(pages)} pages")
# Build skill from scraped data
skill_path = build_skill(
config_name='react',
output_dir='output/react',
data_dir='output/react_data'
)
print(f"Skill created at: {skill_path}")
```
#### Advanced Scraping Options
```python
from skill_seekers.cli.doc_scraper import scrape_all
# Custom scraping with advanced options
pages = scrape_all(
base_url='https://docs.example.com',
selectors={
'main_content': 'article',
'title': 'h1',
'code_blocks': 'pre code'
},
config={
'name': 'my-framework',
'description': 'Custom framework documentation',
'rate_limit': 0.5, # 0.5 second delay between requests
'max_pages': 500, # Limit to 500 pages
'url_patterns': {
'include': ['/docs/'],
'exclude': ['/blog/', '/changelog/']
}
},
output_dir='output/my-framework_data',
use_async=True # Enable async scraping (2-3x faster)
)
```
#### Rebuilding Without Scraping
```python
from skill_seekers.cli.doc_scraper import build_skill
# Rebuild skill from existing data (fast!)
skill_path = build_skill(
config_name='react',
output_dir='output/react',
data_dir='output/react_data', # Use existing scraped data
skip_scrape=True # Don't re-scrape
)
```
---
### 2. GitHub Repository Analysis API
Analyze GitHub repositories with three-stream architecture (Code + Docs + Insights).
#### Basic GitHub Analysis
```python
from skill_seekers.cli.github_scraper import scrape_github_repo
# Analyze GitHub repository
result = scrape_github_repo(
repo_url='https://github.com/facebook/react',
output_dir='output/react-github',
analysis_depth='c3x', # Options: 'basic' or 'c3x'
github_token='ghp_...' # Optional: higher rate limits
)
print(f"Analysis complete: {result['skill_path']}")
print(f"Code files analyzed: {result['stats']['code_files']}")
print(f"Patterns detected: {result['stats']['patterns']}")
```
#### Stream-Specific Analysis
```python
from skill_seekers.cli.github_scraper import scrape_github_repo
# Focus on specific streams
result = scrape_github_repo(
repo_url='https://github.com/vercel/next.js',
output_dir='output/nextjs',
analysis_depth='c3x',
enable_code_stream=True, # C3.x codebase analysis
enable_docs_stream=True, # README, docs/, wiki
enable_insights_stream=True, # GitHub metadata, issues
include_tests=True, # Extract test examples
include_patterns=True, # Detect design patterns
include_how_to_guides=True # Generate guides from tests
)
```
---
### 3. PDF Extraction API
Extract content from PDF documents with OCR and image support.
#### Basic PDF Extraction
```python
from skill_seekers.cli.pdf_scraper import scrape_pdf
# Extract from single PDF
skill_path = scrape_pdf(
pdf_path='documentation.pdf',
output_dir='output/pdf-skill',
skill_name='my-pdf-skill',
description='Documentation from PDF'
)
print(f"PDF skill created: {skill_path}")
```
#### Advanced PDF Processing
```python
from skill_seekers.cli.pdf_scraper import scrape_pdf
# PDF extraction with all features
skill_path = scrape_pdf(
pdf_path='large-manual.pdf',
output_dir='output/manual',
skill_name='product-manual',
description='Product manual documentation',
enable_ocr=True, # OCR for scanned PDFs
extract_images=True, # Extract embedded images
extract_tables=True, # Parse tables
chunk_size=50, # Pages per chunk (large PDFs)
language='eng', # OCR language
dpi=300 # Image DPI for OCR
)
```
---
### 4. Unified Multi-Source Scraping API
Combine multiple sources (docs + GitHub + PDF) into a single unified skill.
#### Unified Scraping
```python
from skill_seekers.cli.unified_scraper import unified_scrape
# Scrape from multiple sources
result = unified_scrape(
config_path='configs/unified/react-unified.json',
output_dir='output/react-complete'
)
print(f"Unified skill created: {result['skill_path']}")
print(f"Sources merged: {result['sources']}")
print(f"Conflicts detected: {result['conflicts']}")
```
#### Conflict Detection
```python
from skill_seekers.cli.unified_scraper import detect_conflicts
# Detect discrepancies between sources
conflicts = detect_conflicts(
docs_dir='output/react_data',
github_dir='output/react-github',
pdf_dir='output/react-pdf'
)
for conflict in conflicts:
print(f"Conflict in {conflict['topic']}:")
print(f" Docs say: {conflict['docs_version']}")
print(f" Code shows: {conflict['code_version']}")
```
---
### 5. Skill Packaging API
Package skills for different LLM platforms using the platform adaptor architecture.
#### Basic Packaging
```python
from skill_seekers.cli.adaptors import get_adaptor
# Get platform-specific adaptor
adaptor = get_adaptor('claude') # Options: claude, gemini, openai, markdown
# Package skill
package_path = adaptor.package(
skill_dir='output/react/',
output_path='output/'
)
print(f"Claude skill package: {package_path}")
```
#### Multi-Platform Packaging
```python
from skill_seekers.cli.adaptors import get_adaptor
# Package for all platforms
platforms = ['claude', 'gemini', 'openai', 'markdown']
for platform in platforms:
adaptor = get_adaptor(platform)
package_path = adaptor.package(
skill_dir='output/react/',
output_path='output/'
)
print(f"{platform.capitalize()} package: {package_path}")
```
#### Custom Packaging Options
```python
from skill_seekers.cli.adaptors import get_adaptor
adaptor = get_adaptor('gemini')
# Gemini-specific packaging (.tar.gz format)
package_path = adaptor.package(
skill_dir='output/react/',
output_path='output/',
compress_level=9, # Maximum compression
include_metadata=True
)
```
---
### 6. Skill Upload API
Upload packaged skills to LLM platforms via their APIs.
#### Claude AI Upload
```python
import os
from skill_seekers.cli.adaptors import get_adaptor
adaptor = get_adaptor('claude')
# Upload to Claude AI
result = adaptor.upload(
package_path='output/react-claude.zip',
api_key=os.getenv('ANTHROPIC_API_KEY')
)
print(f"Uploaded to Claude AI: {result['skill_id']}")
```
#### Google Gemini Upload
```python
import os
from skill_seekers.cli.adaptors import get_adaptor
adaptor = get_adaptor('gemini')
# Upload to Google Gemini
result = adaptor.upload(
package_path='output/react-gemini.tar.gz',
api_key=os.getenv('GOOGLE_API_KEY')
)
print(f"Gemini corpus ID: {result['corpus_id']}")
```
#### OpenAI ChatGPT Upload
```python
import os
from skill_seekers.cli.adaptors import get_adaptor
adaptor = get_adaptor('openai')
# Upload to OpenAI Vector Store
result = adaptor.upload(
package_path='output/react-openai.zip',
api_key=os.getenv('OPENAI_API_KEY')
)
print(f"Vector store ID: {result['vector_store_id']}")
```
---
### 7. AI Enhancement API
Enhance skills with AI-powered improvements using platform-specific models.
#### API Mode Enhancement
```python
import os
from skill_seekers.cli.adaptors import get_adaptor
adaptor = get_adaptor('claude')
# Enhance using Claude API
result = adaptor.enhance(
skill_dir='output/react/',
mode='api',
api_key=os.getenv('ANTHROPIC_API_KEY')
)
print(f"Enhanced skill: {result['enhanced_path']}")
print(f"Quality score: {result['quality_score']}/10")
```
#### LOCAL Mode Enhancement
```python
from skill_seekers.cli.adaptors import get_adaptor
adaptor = get_adaptor('claude')
# Enhance using Claude Code CLI (free!)
result = adaptor.enhance(
skill_dir='output/react/',
mode='LOCAL',
execution_mode='headless', # Options: headless, background, daemon
timeout=300 # 5 minute timeout
)
print(f"Enhanced skill: {result['enhanced_path']}")
```
#### Background Enhancement with Monitoring
```python
from skill_seekers.cli.enhance_skill_local import enhance_skill
from skill_seekers.cli.enhance_status import monitor_enhancement
import time
# Start background enhancement
result = enhance_skill(
skill_dir='output/react/',
mode='background'
)
pid = result['pid']
print(f"Enhancement started in background (PID: {pid})")
# Monitor progress
while True:
status = monitor_enhancement('output/react/')
print(f"Status: {status['state']}, Progress: {status['progress']}%")
if status['state'] == 'completed':
print(f"Enhanced skill: {status['output_path']}")
break
elif status['state'] == 'failed':
print(f"Enhancement failed: {status['error']}")
break
time.sleep(5) # Check every 5 seconds
```
---
### 8. Complete Workflow Automation API
Automate the entire workflow: fetch config → scrape → enhance → package → upload.
#### One-Command Install
```python
import os
from skill_seekers.cli.install_skill import install_skill
# Complete workflow automation
result = install_skill(
config_name='react', # Use preset config
target='claude', # Target platform
api_key=os.getenv('ANTHROPIC_API_KEY'),
enhance=True, # Enable AI enhancement
upload=True, # Upload to platform
force=True # Skip confirmations
)
print(f"Skill installed: {result['skill_id']}")
print(f"Package path: {result['package_path']}")
print(f"Time taken: {result['duration']}s")
```
#### Custom Config Install
```python
from skill_seekers.cli.install_skill import install_skill
# Install with custom configuration
result = install_skill(
config_path='configs/custom/my-framework.json',
target='gemini',
api_key=os.getenv('GOOGLE_API_KEY'),
enhance=True,
upload=True,
analysis_depth='c3x', # Deep codebase analysis
enable_router=True # Generate router for large docs
)
```
---
## Configuration Objects
### Config Schema
Skill Seekers uses JSON configuration files to define scraping behavior.
```json
{
"name": "framework-name",
"description": "When to use this skill",
"base_url": "https://docs.example.com/",
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code",
"navigation": "nav.sidebar"
},
"url_patterns": {
"include": ["/docs/", "/api/", "/guides/"],
"exclude": ["/blog/", "/changelog/", "/archive/"]
},
"categories": {
"getting_started": ["intro", "quickstart", "installation"],
"api": ["api", "reference", "methods"],
"guides": ["guide", "tutorial", "how-to"],
"examples": ["example", "demo", "sample"]
},
"rate_limit": 0.5,
"max_pages": 500,
"llms_txt_url": "https://example.com/llms.txt",
"enable_async": true
}
```
### Required Fields
| Field | Type | Description |
|-------|------|-------------|
| `name` | string | Skill name (alphanumeric + hyphens) |
| `description` | string | When to use this skill |
| `base_url` | string | Documentation website URL |
| `selectors` | object | CSS selectors for content extraction |
### Optional Fields
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `url_patterns.include` | array | `[]` | URL path patterns to include |
| `url_patterns.exclude` | array | `[]` | URL path patterns to exclude |
| `categories` | object | `{}` | Category keywords mapping |
| `rate_limit` | float | `0.5` | Delay between requests (seconds) |
| `max_pages` | int | `500` | Maximum pages to scrape |
| `llms_txt_url` | string | `null` | URL to llms.txt file |
| `enable_async` | bool | `false` | Enable async scraping (faster) |
### Unified Config Schema (Multi-Source)
```json
{
"name": "framework-unified",
"description": "Complete framework documentation",
"sources": {
"documentation": {
"type": "docs",
"base_url": "https://docs.example.com/",
"selectors": { "main_content": "article" }
},
"github": {
"type": "github",
"repo_url": "https://github.com/org/repo",
"analysis_depth": "c3x"
},
"pdf": {
"type": "pdf",
"pdf_path": "manual.pdf",
"enable_ocr": true
}
},
"conflict_resolution": "prefer_code",
"merge_strategy": "smart"
}
```
---
## Advanced Options
### Custom Selectors
```python
from skill_seekers.cli.doc_scraper import scrape_all
# Custom CSS selectors for complex sites
pages = scrape_all(
base_url='https://complex-site.com',
selectors={
'main_content': 'div.content-wrapper > article',
'title': 'h1.page-title',
'code_blocks': 'pre.highlight code',
'navigation': 'aside.sidebar nav',
'metadata': 'meta[name="description"]'
},
config={'name': 'complex-site'}
)
```
### URL Pattern Matching
```python
# Advanced URL filtering
config = {
'url_patterns': {
'include': [
'/docs/', # Exact path match
'/api/**', # Wildcard: all subpaths
'/guides/v2.*' # Regex: version-specific
],
'exclude': [
'/blog/',
'/changelog/',
'**/*.png', # Exclude images
'**/*.pdf' # Exclude PDFs
]
}
}
```
### Category Inference
```python
from skill_seekers.cli.doc_scraper import infer_categories
# Auto-detect categories from URL structure
categories = infer_categories(
pages=[
{'url': 'https://docs.example.com/getting-started/intro'},
{'url': 'https://docs.example.com/api/authentication'},
{'url': 'https://docs.example.com/guides/tutorial'}
]
)
print(categories)
# Output: {
# 'getting-started': ['intro'],
# 'api': ['authentication'],
# 'guides': ['tutorial']
# }
```
---
## Error Handling
### Common Exceptions
```python
from skill_seekers.cli.doc_scraper import scrape_all
from skill_seekers.exceptions import (
NetworkError,
InvalidConfigError,
ScrapingError,
RateLimitError
)
try:
pages = scrape_all(
base_url='https://docs.example.com',
selectors={'main_content': 'article'},
config={'name': 'example'}
)
except NetworkError as e:
print(f"Network error: {e}")
# Retry with exponential backoff
except InvalidConfigError as e:
print(f"Invalid config: {e}")
# Fix configuration and retry
except RateLimitError as e:
print(f"Rate limited: {e}")
# Increase rate_limit in config
except ScrapingError as e:
print(f"Scraping failed: {e}")
# Check selectors and URL patterns
```
### Retry Logic
```python
from skill_seekers.cli.doc_scraper import scrape_all
from skill_seekers.utils import retry_with_backoff
@retry_with_backoff(max_retries=3, base_delay=1.0)
def scrape_with_retry(base_url, config):
return scrape_all(
base_url=base_url,
selectors=config['selectors'],
config=config
)
# Automatically retries on network errors
pages = scrape_with_retry(
base_url='https://docs.example.com',
config={'name': 'example', 'selectors': {...}}
)
```
---
## Testing Your Integration
### Unit Tests
```python
import pytest
from skill_seekers.cli.doc_scraper import scrape_all
def test_basic_scraping():
"""Test basic documentation scraping."""
pages = scrape_all(
base_url='https://docs.example.com',
selectors={'main_content': 'article'},
config={
'name': 'test-framework',
'max_pages': 10 # Limit for testing
}
)
assert len(pages) > 0
assert all('title' in p for p in pages)
assert all('content' in p for p in pages)
def test_config_validation():
"""Test configuration validation."""
from skill_seekers.cli.config_validator import validate_config
config = {
'name': 'test',
'base_url': 'https://example.com',
'selectors': {'main_content': 'article'}
}
is_valid, errors = validate_config(config)
assert is_valid
assert len(errors) == 0
```
### Integration Tests
```python
import pytest
import os
from skill_seekers.cli.install_skill import install_skill
@pytest.mark.integration
def test_end_to_end_workflow():
"""Test complete skill installation workflow."""
result = install_skill(
config_name='react',
target='markdown', # No API key needed for markdown
enhance=False, # Skip AI enhancement
upload=False, # Don't upload
force=True
)
assert result['success']
assert os.path.exists(result['package_path'])
assert result['package_path'].endswith('.zip')
@pytest.mark.integration
def test_multi_platform_packaging():
"""Test packaging for multiple platforms."""
from skill_seekers.cli.adaptors import get_adaptor
platforms = ['claude', 'gemini', 'openai', 'markdown']
for platform in platforms:
adaptor = get_adaptor(platform)
package_path = adaptor.package(
skill_dir='output/test-skill/',
output_path='output/'
)
assert os.path.exists(package_path)
```
---
## Performance Optimization
### Async Scraping
```python
from skill_seekers.cli.doc_scraper import scrape_all
# Enable async for 2-3x speed improvement
pages = scrape_all(
base_url='https://docs.example.com',
selectors={'main_content': 'article'},
config={'name': 'example'},
use_async=True # 2-3x faster
)
```
### Caching and Rebuilding
```python
from skill_seekers.cli.doc_scraper import build_skill
# First scrape (slow - 15-45 minutes)
build_skill(config_name='react', output_dir='output/react')
# Rebuild without re-scraping (fast - <1 minute)
build_skill(
config_name='react',
output_dir='output/react',
data_dir='output/react_data',
skip_scrape=True # Use cached data
)
```
### Batch Processing
```python
from concurrent.futures import ThreadPoolExecutor
from skill_seekers.cli.install_skill import install_skill
configs = ['react', 'vue', 'angular', 'svelte']
def install_config(config_name):
return install_skill(
config_name=config_name,
target='markdown',
enhance=False,
upload=False,
force=True
)
# Process 4 configs in parallel
with ThreadPoolExecutor(max_workers=4) as executor:
results = list(executor.map(install_config, configs))
for config, result in zip(configs, results):
print(f"{config}: {result['success']}")
```
---
## CI/CD Integration Examples
### GitHub Actions
```yaml
name: Generate Skills
on:
schedule:
- cron: '0 0 * * *' # Daily at midnight
workflow_dispatch:
jobs:
generate-skills:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Install Skill Seekers
run: pip install skill-seekers[all-llms]
- name: Generate Skills
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
run: |
skill-seekers install react --target claude --enhance --upload
skill-seekers install vue --target gemini --enhance --upload
- name: Archive Skills
uses: actions/upload-artifact@v3
with:
name: skills
path: output/**/*.zip
```
### GitLab CI
```yaml
generate_skills:
image: python:3.11
script:
- pip install skill-seekers[all-llms]
- skill-seekers install react --target claude --enhance --upload
- skill-seekers install vue --target gemini --enhance --upload
artifacts:
paths:
- output/
only:
- schedules
```
---
## Best Practices
### 1. **Use Configuration Files**
Store configs in version control for reproducibility:
```python
import json
with open('configs/my-framework.json') as f:
config = json.load(f)
scrape_all(config=config)
```
### 2. **Enable Async for Large Sites**
```python
pages = scrape_all(base_url=url, config=config, use_async=True)
```
### 3. **Cache Scraped Data**
```python
# Scrape once
scrape_all(config=config, output_dir='output/data')
# Rebuild many times (fast!)
build_skill(config_name='framework', data_dir='output/data', skip_scrape=True)
```
### 4. **Use Platform Adaptors**
```python
# Good: Platform-agnostic
adaptor = get_adaptor(target_platform)
adaptor.package(skill_dir)
# Bad: Hardcoded for one platform
# create_zip_for_claude(skill_dir)
```
### 5. **Handle Errors Gracefully**
```python
try:
result = install_skill(config_name='framework', target='claude')
except NetworkError:
# Retry logic
except InvalidConfigError:
# Fix config
```
### 6. **Monitor Background Enhancements**
```python
# Start enhancement
enhance_skill(skill_dir='output/react/', mode='background')
# Monitor progress
monitor_enhancement('output/react/', watch=True)
```
---
## API Reference Summary
| API | Module | Use Case |
|-----|--------|----------|
| **Documentation Scraping** | `doc_scraper` | Extract from docs websites |
| **GitHub Analysis** | `github_scraper` | Analyze code repositories |
| **PDF Extraction** | `pdf_scraper` | Extract from PDF files |
| **Unified Scraping** | `unified_scraper` | Multi-source scraping |
| **Skill Packaging** | `adaptors` | Package for LLM platforms |
| **Skill Upload** | `adaptors` | Upload to platforms |
| **AI Enhancement** | `adaptors` | Improve skill quality |
| **Complete Workflow** | `install_skill` | End-to-end automation |
---
## Additional Resources
- **[Main Documentation](../../README.md)** - Complete user guide
- **[Usage Guide](../guides/USAGE.md)** - CLI usage examples
- **[MCP Setup](../guides/MCP_SETUP.md)** - MCP server integration
- **[Multi-LLM Support](../integrations/MULTI_LLM_SUPPORT.md)** - Platform comparison
- **[CHANGELOG](../../CHANGELOG.md)** - Version history and API changes
---
**Version:** 3.1.0-dev
**Last Updated:** 2026-02-18
**Status:** ✅ Production Ready

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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## 🎯 Current Status (January 8, 2026)
**Version:** v2.6.0 (Three-Stream GitHub Architecture - Phases 1-5 Complete!)
**Active Development:** Phase 6 pending (Documentation & Examples)
### Recent Updates (January 2026):
**🚀 MAJOR RELEASE: Three-Stream GitHub Architecture (v2.6.0)**
- **✅ Phases 1-5 Complete** (26 hours implementation, 81 tests passing)
- **NEW: GitHub Three-Stream Fetcher** - Split repos into Code, Docs, Insights streams
- **NEW: Unified Codebase Analyzer** - Works with GitHub URLs + local paths, C3.x as analysis depth
- **ENHANCED: Source Merging** - Multi-layer merge with GitHub docs and insights
- **ENHANCED: Router Generation** - GitHub metadata, README quick start, common issues
- **CRITICAL FIX: Actual C3.x Integration** - Real pattern detection (not placeholders)
- **Quality Metrics**: GitHub overhead 20-60 lines, router size 60-250 lines
- **Documentation**: Complete implementation summary and E2E tests
### Recent Updates (December 2025):
**🎉 MAJOR RELEASE: Multi-Platform Feature Parity! (v2.5.0)**
- **🌐 Multi-LLM Support**: Full support for 4 platforms - Claude AI, Google Gemini, OpenAI ChatGPT, Generic Markdown
- **🔄 Complete Feature Parity**: All skill modes work with all platforms
- **🏗️ Platform Adaptors**: Clean architecture with platform-specific implementations
- **✨ 26 MCP Tools**: Enhanced with multi-platform support (package, upload, enhance)
- **📚 Comprehensive Documentation**: Complete guides for all platforms
- **🧪 Test Coverage**: 1,880+ tests passing, extensive platform compatibility testing
**🚀 NEW: Three-Stream GitHub Architecture (v2.6.0)**
- **📊 Three-Stream Fetcher**: Split GitHub repos into Code, Docs, and Insights streams
- **🔬 Unified Codebase Analyzer**: Works with GitHub URLs and local paths
- **🎯 Enhanced Router Generation**: GitHub insights + C3.x patterns for better routing
- **📝 GitHub Issue Integration**: Common problems and solutions in sub-skills
- **✅ 81 Tests Passing**: Comprehensive E2E validation (0.43 seconds)
## Three-Stream GitHub Architecture
**New in v2.6.0**: GitHub repositories are now analyzed using a three-stream architecture:
**STREAM 1: Code** (for C3.x analysis)
- Files: `*.py, *.js, *.ts, *.go, *.rs, *.java, etc.`
- Purpose: Deep code analysis with C3.x components
- Time: 20-60 minutes
- Components: Patterns (C3.1), Examples (C3.2), Guides (C3.3), Configs (C3.4), Architecture (C3.7)
**STREAM 2: Documentation** (from repository)
- Files: `README.md, CONTRIBUTING.md, docs/*.md`
- Purpose: Quick start guides and official documentation
- Time: 1-2 minutes
**STREAM 3: GitHub Insights** (metadata & community)
- Data: Open issues, closed issues, labels, stars, forks
- Purpose: Real user problems and known solutions
- Time: 1-2 minutes
### Usage Example
```python
from skill_seekers.cli.unified_codebase_analyzer import UnifiedCodebaseAnalyzer
# Analyze GitHub repo with three streams
analyzer = UnifiedCodebaseAnalyzer()
result = analyzer.analyze(
source="https://github.com/facebook/react",
depth="c3x", # or "basic"
fetch_github_metadata=True
)
# Access all three streams
print(f"Files: {len(result.code_analysis['files'])}")
print(f"README: {result.github_docs['readme'][:100]}")
print(f"Stars: {result.github_insights['metadata']['stars']}")
print(f"C3.x Patterns: {len(result.code_analysis['c3_1_patterns'])}")
```
### Router Generation with GitHub
```python
from skill_seekers.cli.generate_router import RouterGenerator
from skill_seekers.cli.github_fetcher import GitHubThreeStreamFetcher
# Fetch GitHub repo with three streams
fetcher = GitHubThreeStreamFetcher("https://github.com/jlowin/fastmcp")
three_streams = fetcher.fetch()
# Generate router with GitHub integration
generator = RouterGenerator(
['configs/fastmcp-oauth.json', 'configs/fastmcp-async.json'],
github_streams=three_streams
)
# Result includes:
# - Repository stats (stars, language)
# - README quick start
# - Common issues from GitHub
# - Enhanced routing keywords (GitHub labels with 2x weight)
skill_md = generator.generate_skill_md()
```
**See full documentation**: [Three-Stream Implementation Summary](IMPLEMENTATION_SUMMARY_THREE_STREAM.md)
## Overview
This is a Python-based documentation scraper that converts ANY documentation website into a Claude skill. It's a single-file tool (`doc_scraper.py`) that scrapes documentation, extracts code patterns, detects programming languages, and generates structured skill files ready for use with Claude.
## Dependencies
```bash
pip3 install requests beautifulsoup4
```
## Core Commands
### Run with a preset configuration
```bash
python3 cli/doc_scraper.py --config configs/godot.json
python3 cli/doc_scraper.py --config configs/react.json
python3 cli/doc_scraper.py --config configs/vue.json
python3 cli/doc_scraper.py --config configs/django.json
python3 cli/doc_scraper.py --config configs/fastapi.json
```
### Interactive mode (for new frameworks)
```bash
python3 cli/doc_scraper.py --interactive
```
### Quick mode (minimal config)
```bash
python3 cli/doc_scraper.py --name react --url https://react.dev/ --description "React framework"
```
### Skip scraping (use cached data)
```bash
python3 cli/doc_scraper.py --config configs/godot.json --skip-scrape
```
### Resume interrupted scrapes
```bash
# If scrape was interrupted
python3 cli/doc_scraper.py --config configs/godot.json --resume
# Start fresh (clear checkpoint)
python3 cli/doc_scraper.py --config configs/godot.json --fresh
```
### Large documentation (10K-40K+ pages)
```bash
# 1. Estimate page count
python3 cli/estimate_pages.py configs/godot.json
# 2. Split into focused sub-skills
python3 cli/split_config.py configs/godot.json --strategy router
# 3. Generate router skill
python3 cli/generate_router.py configs/godot-*.json
# 4. Package multiple skills
python3 cli/package_multi.py output/godot*/
```
### AI-powered SKILL.md enhancement
```bash
# Option 1: During scraping (API-based, requires ANTHROPIC_API_KEY)
pip3 install anthropic
export ANTHROPIC_API_KEY=sk-ant-...
python3 cli/doc_scraper.py --config configs/react.json --enhance
# Option 2: During scraping (LOCAL, no API key - uses Claude Code Max)
python3 cli/doc_scraper.py --config configs/react.json --enhance-local
# Option 3: Standalone after scraping (API-based)
python3 cli/enhance_skill.py output/react/
# Option 4: Standalone after scraping (LOCAL, no API key)
python3 cli/enhance_skill_local.py output/react/
```
The LOCAL enhancement option (`--enhance-local` or `enhance_skill_local.py`) opens a new terminal with Claude Code, which analyzes reference files and enhances SKILL.md automatically. This requires Claude Code Max plan but no API key.
### MCP Integration (Claude Code)
```bash
# One-time setup
./setup_mcp.sh
# Then in Claude Code, use natural language:
"List all available configs"
"Generate config for Tailwind at https://tailwindcss.com/docs"
"Split configs/godot.json using router strategy"
"Generate router for configs/godot-*.json"
"Package skill at output/react/"
```
26 MCP tools available with multi-platform support: list_configs, generate_config, validate_config, fetch_config, estimate_pages, scrape_docs, scrape_github, scrape_pdf, package_skill, upload_skill, enhance_skill (NEW), install_skill, split_config, generate_router, add_config_source, list_config_sources, remove_config_source, submit_config
### Test with limited pages (edit config first)
Set `"max_pages": 20` in the config file to test with fewer pages.
## Multi-Platform Support (v2.5.0+)
**4 Platforms Fully Supported:**
- **Claude AI** (default) - ZIP format, Skills API, MCP integration
- **Google Gemini** - tar.gz format, Files API, 1M token context
- **OpenAI ChatGPT** - ZIP format, Assistants API, Vector Store
- **Generic Markdown** - ZIP format, universal compatibility
**All skill modes work with all platforms:**
- Documentation scraping
- GitHub repository analysis
- PDF extraction
- Unified multi-source
- Local repository analysis
**Use the `--target` parameter for packaging, upload, and enhancement:**
```bash
# Package for different platforms
skill-seekers package output/react/ --target claude # Default
skill-seekers package output/react/ --target gemini
skill-seekers package output/react/ --target openai
skill-seekers package output/react/ --target markdown
# Upload to platforms (requires API keys)
skill-seekers upload output/react.zip --target claude
skill-seekers upload output/react-gemini.tar.gz --target gemini
skill-seekers upload output/react-openai.zip --target openai
# Enhance with platform-specific AI
skill-seekers enhance output/react/ --target claude # Sonnet 4
skill-seekers enhance output/react/ --target gemini --mode api # Gemini 2.0
skill-seekers enhance output/react/ --target openai --mode api # GPT-4o
```
See [Multi-Platform Guide](UPLOAD_GUIDE.md) and [Feature Matrix](FEATURE_MATRIX.md) for complete details.
## Architecture
### Single-File Design
The entire tool is contained in `doc_scraper.py` (~737 lines). It follows a class-based architecture with a single `DocToSkillConverter` class that handles:
- **Web scraping**: BFS traversal with URL validation
- **Content extraction**: CSS selectors for title, content, code blocks
- **Language detection**: Heuristic-based detection from code samples (Python, JavaScript, GDScript, C++, etc.)
- **Pattern extraction**: Identifies common coding patterns from documentation
- **Categorization**: Smart categorization using URL structure, page titles, and content keywords with scoring
- **Skill generation**: Creates SKILL.md with real code examples and categorized reference files
### Data Flow
1. **Scrape Phase**:
- Input: Config JSON (name, base_url, selectors, url_patterns, categories, rate_limit, max_pages)
- Process: BFS traversal starting from base_url, respecting include/exclude patterns
- Output: `output/{name}_data/pages/*.json` + `summary.json`
2. **Build Phase**:
- Input: Scraped JSON data from `output/{name}_data/`
- Process: Load pages → Smart categorize → Extract patterns → Generate references
- Output: `output/{name}/SKILL.md` + `output/{name}/references/*.md`
### Directory Structure
```
Skill_Seekers/
├── cli/ # CLI tools
│ ├── doc_scraper.py # Main scraping & building tool
│ ├── enhance_skill.py # AI enhancement (API-based)
│ ├── enhance_skill_local.py # AI enhancement (LOCAL, no API)
│ ├── estimate_pages.py # Page count estimator
│ ├── split_config.py # Large docs splitter (NEW)
│ ├── generate_router.py # Router skill generator (NEW)
│ ├── package_skill.py # Single skill packager
│ └── package_multi.py # Multi-skill packager (NEW)
├── mcp/ # MCP server
│ ├── server.py # 9 MCP tools (includes upload)
│ └── README.md
├── configs/ # Preset configurations
│ ├── godot.json
│ ├── godot-large-example.json # Large docs example (NEW)
│ ├── react.json
│ └── ...
├── docs/ # Documentation
│ ├── CLAUDE.md # Technical architecture (this file)
│ ├── LARGE_DOCUMENTATION.md # Large docs guide (NEW)
│ ├── ENHANCEMENT.md
│ ├── MCP_SETUP.md
│ └── ...
└── output/ # Generated output (git-ignored)
├── {name}_data/ # Raw scraped data (cached)
│ ├── pages/ # Individual page JSONs
│ ├── summary.json # Scraping summary
│ └── checkpoint.json # Resume checkpoint (NEW)
└── {name}/ # Generated skill
├── SKILL.md # Main skill file with examples
├── SKILL.md.backup # Backup (if enhanced)
├── references/ # Categorized documentation
│ ├── index.md
│ ├── getting_started.md
│ ├── api.md
│ └── ...
├── scripts/ # Empty (for user scripts)
└── assets/ # Empty (for user assets)
```
### Configuration Format
Config files in `configs/*.json` contain:
- `name`: Skill identifier (e.g., "godot", "react")
- `description`: When to use this skill
- `base_url`: Starting URL for scraping
- `selectors`: CSS selectors for content extraction
- `main_content`: Main documentation content (e.g., "article", "div[role='main']")
- `title`: Page title selector
- `code_blocks`: Code sample selector (e.g., "pre code", "pre")
- `url_patterns`: URL filtering
- `include`: Only scrape URLs containing these patterns
- `exclude`: Skip URLs containing these patterns
- `categories`: Keyword-based categorization mapping
- `rate_limit`: Delay between requests (seconds)
- `max_pages`: Maximum pages to scrape
- `split_strategy`: (Optional) How to split large docs: "auto", "category", "router", "size"
- `split_config`: (Optional) Split configuration
- `target_pages_per_skill`: Pages per sub-skill (default: 5000)
- `create_router`: Create router/hub skill (default: true)
- `split_by_categories`: Category names to split by
- `checkpoint`: (Optional) Checkpoint/resume configuration
- `enabled`: Enable checkpointing (default: false)
- `interval`: Save every N pages (default: 1000)
### Key Features
**Auto-detect existing data**: Tool checks for `output/{name}_data/` and prompts to reuse, avoiding re-scraping.
**Language detection**: Detects code languages from:
1. CSS class attributes (`language-*`, `lang-*`)
2. Heuristics (keywords like `def`, `const`, `func`, etc.)
**Pattern extraction**: Looks for "Example:", "Pattern:", "Usage:" markers in content and extracts following code blocks (up to 5 per page).
**Smart categorization**:
- Scores pages against category keywords (3 points for URL match, 2 for title, 1 for content)
- Threshold of 2+ for categorization
- Auto-infers categories from URL segments if none provided
- Falls back to "other" category
**Enhanced SKILL.md**: Generated with:
- Real code examples from documentation (language-annotated)
- Quick reference patterns extracted from docs
- Common pattern section
- Category file listings
**AI-Powered Enhancement**: Two scripts to dramatically improve SKILL.md quality:
- `enhance_skill.py`: Uses Anthropic API (~$0.15-$0.30 per skill, requires API key)
- `enhance_skill_local.py`: Uses Claude Code Max (free, no API key needed)
- Transforms generic 75-line templates into comprehensive 500+ line guides
- Extracts best examples, explains key concepts, adds navigation guidance
- Success rate: 9/10 quality (based on steam-economy test)
**Large Documentation Support (NEW)**: Handle 10K-40K+ page documentation:
- `split_config.py`: Split large configs into multiple focused sub-skills
- `generate_router.py`: Create intelligent router/hub skills that direct queries
- `package_multi.py`: Package multiple skills at once
- 4 split strategies: auto, category, router, size
- Parallel scraping support for faster processing
- MCP integration for natural language usage
**Checkpoint/Resume (NEW)**: Never lose progress on long scrapes:
- Auto-saves every N pages (configurable, default: 1000)
- Resume with `--resume` flag
- Clear checkpoint with `--fresh` flag
- Saves on interruption (Ctrl+C)
## Key Code Locations
- **URL validation**: `is_valid_url()` doc_scraper.py:47-62
- **Content extraction**: `extract_content()` doc_scraper.py:64-131
- **Language detection**: `detect_language()` doc_scraper.py:133-163
- **Pattern extraction**: `extract_patterns()` doc_scraper.py:165-181
- **Smart categorization**: `smart_categorize()` doc_scraper.py:280-321
- **Category inference**: `infer_categories()` doc_scraper.py:323-349
- **Quick reference generation**: `generate_quick_reference()` doc_scraper.py:351-370
- **SKILL.md generation**: `create_enhanced_skill_md()` doc_scraper.py:424-540
- **Scraping loop**: `scrape_all()` doc_scraper.py:226-249
- **Main workflow**: `main()` doc_scraper.py:661-733
## Workflow Examples
### First time scraping (with scraping)
```bash
# 1. Scrape + Build
python3 cli/doc_scraper.py --config configs/godot.json
# Time: 20-40 minutes
# 2. Package
python3 cli/package_skill.py output/godot/
# Result: godot.zip
```
### Using cached data (fast iteration)
```bash
# 1. Use existing data
python3 cli/doc_scraper.py --config configs/godot.json --skip-scrape
# Time: 1-3 minutes
# 2. Package
python3 cli/package_skill.py output/godot/
```
### Creating a new framework config
```bash
# Option 1: Interactive
python3 cli/doc_scraper.py --interactive
# Option 2: Copy and modify
cp configs/react.json configs/myframework.json
# Edit configs/myframework.json
python3 cli/doc_scraper.py --config configs/myframework.json
```
### Large documentation workflow (40K pages)
```bash
# 1. Estimate page count (fast, 1-2 minutes)
python3 cli/estimate_pages.py configs/godot.json
# 2. Split into focused sub-skills
python3 cli/split_config.py configs/godot.json --strategy router --target-pages 5000
# Creates: godot-scripting.json, godot-2d.json, godot-3d.json, etc.
# 3. Scrape all in parallel (4-8 hours instead of 20-40!)
for config in configs/godot-*.json; do
python3 cli/doc_scraper.py --config $config &
done
wait
# 4. Generate intelligent router skill
python3 cli/generate_router.py configs/godot-*.json
# 5. Package all skills
python3 cli/package_multi.py output/godot*/
# 6. Upload all .zip files to Claude
# Result: Router automatically directs queries to the right sub-skill!
```
**Time savings:** Parallel scraping reduces 20-40 hours to 4-8 hours
**See full guide:** [Large Documentation Guide](LARGE_DOCUMENTATION.md)
## Testing Selectors
To find the right CSS selectors for a documentation site:
```python
from bs4 import BeautifulSoup
import requests
url = "https://docs.example.com/page"
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
# Try different selectors
print(soup.select_one('article'))
print(soup.select_one('main'))
print(soup.select_one('div[role="main"]'))
```
## Running Tests
**IMPORTANT: You must install the package before running tests**
```bash
# 1. Install package in editable mode (one-time setup)
pip install -e .
# 2. Run all tests
pytest
# 3. Run specific test files
pytest tests/test_config_validation.py
pytest tests/test_github_scraper.py
# 4. Run with verbose output
pytest -v
# 5. Run with coverage report
pytest --cov=src/skill_seekers --cov-report=html
```
**Why install first?**
- Tests import from `skill_seekers.cli` which requires the package to be installed
- Modern Python packaging best practice (PEP 517/518)
- CI/CD automatically installs with `pip install -e .`
- conftest.py will show helpful error if package not installed
**Test Coverage:**
- 391+ tests passing
- 39% code coverage
- All core features tested
- CI/CD tests on Ubuntu + macOS with Python 3.10-3.12
## Troubleshooting
**No content extracted**: Check `main_content` selector. Common values: `article`, `main`, `div[role="main"]`, `div.content`
**Poor categorization**: Edit `categories` section in config with better keywords specific to the documentation structure
**Force re-scrape**: Delete cached data with `rm -rf output/{name}_data/`
**Rate limiting issues**: Increase `rate_limit` value in config (e.g., from 0.5 to 1.0 seconds)
## Output Quality Checks
After building, verify quality:
```bash
cat output/godot/SKILL.md # Should have real code examples
cat output/godot/references/index.md # Should show categories
ls output/godot/references/ # Should have category .md files
```
## llms.txt Support
Skill_Seekers automatically detects llms.txt files before HTML scraping:
### Detection Order
1. `{base_url}/llms-full.txt` (complete documentation)
2. `{base_url}/llms.txt` (standard version)
3. `{base_url}/llms-small.txt` (quick reference)
### Benefits
- ⚡ 10x faster (< 5 seconds vs 20-60 seconds)
- ✅ More reliable (maintained by docs authors)
- 🎯 Better quality (pre-formatted for LLMs)
- 🚫 No rate limiting needed
### Example Sites
- Hono: https://hono.dev/llms-full.txt
If no llms.txt is found, automatically falls back to HTML scraping.

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# Code Quality Standards
**Version:** 3.1.0-dev
**Last Updated:** 2026-02-18
**Status:** ✅ Production Ready
---
## Overview
Skill Seekers maintains high code quality through automated linting, comprehensive testing, and continuous integration. This document outlines the quality standards, tools, and processes used to ensure reliability and maintainability.
**Quality Pillars:**
1. **Linting** - Automated code style and error detection with Ruff
2. **Testing** - Comprehensive test coverage (1,880+ tests)
3. **Type Safety** - Type hints and validation
4. **Security** - Security scanning with Bandit
5. **CI/CD** - Automated validation on every commit
---
## Linting with Ruff
### What is Ruff?
**Ruff** is an extremely fast Python linter written in Rust that combines the functionality of multiple tools:
- Flake8 (style checking)
- isort (import sorting)
- Black (code formatting)
- pyupgrade (Python version upgrades)
- And 100+ other linting rules
**Why Ruff:**
- ⚡ 10-100x faster than traditional linters
- 🔧 Auto-fixes for most issues
- 📦 Single tool replaces 10+ legacy tools
- 🎯 Comprehensive rule coverage
### Installation
```bash
# Using uv (recommended)
uv pip install ruff
# Using pip
pip install ruff
# Development installation
pip install -e ".[dev]" # Includes ruff
```
### Running Ruff
#### Check for Issues
```bash
# Check all Python files
ruff check .
# Check specific directory
ruff check src/
# Check specific file
ruff check src/skill_seekers/cli/doc_scraper.py
# Check with auto-fix
ruff check --fix .
```
#### Format Code
```bash
# Check formatting (dry run)
ruff format --check .
# Apply formatting
ruff format .
# Format specific file
ruff format src/skill_seekers/cli/doc_scraper.py
```
### Configuration
Ruff configuration is in `pyproject.toml`:
```toml
[tool.ruff]
line-length = 100
target-version = "py310"
[tool.ruff.lint]
select = [
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # pyflakes
"I", # isort
"B", # flake8-bugbear
"SIM", # flake8-simplify
"UP", # pyupgrade
]
ignore = [
"E501", # Line too long (handled by formatter)
]
[tool.ruff.lint.per-file-ignores]
"tests/**/*.py" = [
"S101", # Allow assert in tests
]
```
---
## Common Ruff Rules
### SIM102: Simplify Nested If Statements
**Before:**
```python
if condition1:
if condition2:
do_something()
```
**After:**
```python
if condition1 and condition2:
do_something()
```
**Why:** Improves readability, reduces nesting levels.
### SIM117: Combine Multiple With Statements
**Before:**
```python
with open('file1.txt') as f1:
with open('file2.txt') as f2:
process(f1, f2)
```
**After:**
```python
with open('file1.txt') as f1, open('file2.txt') as f2:
process(f1, f2)
```
**Why:** Cleaner syntax, better resource management.
### B904: Proper Exception Chaining
**Before:**
```python
try:
risky_operation()
except Exception:
raise CustomError("Failed")
```
**After:**
```python
try:
risky_operation()
except Exception as e:
raise CustomError("Failed") from e
```
**Why:** Preserves error context, aids debugging.
### SIM113: Remove Unused Enumerate Counter
**Before:**
```python
for i, item in enumerate(items):
process(item) # i is never used
```
**After:**
```python
for item in items:
process(item)
```
**Why:** Clearer intent, removes unused variables.
### B007: Unused Loop Variable
**Before:**
```python
for item in items:
total += 1 # item is never used
```
**After:**
```python
for _ in items:
total += 1
```
**Why:** Explicit that loop variable is intentionally unused.
### ARG002: Unused Method Argument
**Before:**
```python
def process(self, data, unused_arg):
return data.transform() # unused_arg never used
```
**After:**
```python
def process(self, data):
return data.transform()
```
**Why:** Removes dead code, clarifies function signature.
---
## Recent Code Quality Improvements
### v2.7.0 Fixes (January 18, 2026)
Fixed **all 21 ruff linting errors** across the codebase:
| Rule | Count | Files Affected | Impact |
|------|-------|----------------|--------|
| SIM102 | 7 | config_extractor.py, pattern_recognizer.py (3) | Combined nested if statements |
| SIM117 | 9 | test_example_extractor.py (3), unified_skill_builder.py | Combined with statements |
| B904 | 1 | pdf_scraper.py | Added exception chaining |
| SIM113 | 1 | config_validator.py | Removed unused enumerate counter |
| B007 | 1 | doc_scraper.py | Changed unused loop variable to _ |
| ARG002 | 1 | test fixture | Removed unused test argument |
| **Total** | **21** | **12 files** | **Zero linting errors** |
**Result:** Clean codebase with zero linting errors, improved maintainability.
### Files Updated
1. **src/skill_seekers/cli/config_extractor.py** (SIM102 fixes)
2. **src/skill_seekers/cli/config_validator.py** (SIM113 fix)
3. **src/skill_seekers/cli/doc_scraper.py** (B007 fix)
4. **src/skill_seekers/cli/pattern_recognizer.py** (3 × SIM102 fixes)
5. **src/skill_seekers/cli/test_example_extractor.py** (3 × SIM117 fixes)
6. **src/skill_seekers/cli/unified_skill_builder.py** (SIM117 fix)
7. **src/skill_seekers/cli/pdf_scraper.py** (B904 fix)
8. **6 test files** (various fixes)
---
## Testing Requirements
### Test Coverage Standards
**Critical Paths:** 100% coverage required
- Core scraping logic
- Platform adaptors
- MCP tool implementations
- Configuration validation
**Overall Project:** >80% coverage target
**Current Status:**
- ✅ 1,880+ tests passing
- ✅ >85% code coverage
- ✅ All critical paths covered
- ✅ CI/CD integrated
### Running Tests
#### All Tests
```bash
# Run all tests
pytest tests/ -v
# Run with coverage
pytest tests/ --cov=src/skill_seekers --cov-report=term --cov-report=html
# View HTML coverage report
open htmlcov/index.html
```
#### Specific Test Categories
```bash
# Unit tests only
pytest tests/test_*.py -v
# Integration tests
pytest tests/test_*_integration.py -v
# E2E tests
pytest tests/test_*_e2e.py -v
# MCP tests
pytest tests/test_mcp*.py -v
```
#### Test Markers
```bash
# Slow tests (skip by default)
pytest tests/ -m "not slow"
# Run slow tests
pytest tests/ -m slow
# Async tests
pytest tests/ -m asyncio
```
### Test Categories
1. **Unit Tests** (800+ tests)
- Individual function testing
- Isolated component testing
- Mock external dependencies
2. **Integration Tests** (300+ tests)
- Multi-component workflows
- End-to-end feature testing
- Real file system operations
3. **E2E Tests** (100+ tests)
- Complete user workflows
- CLI command testing
- Platform integration testing
4. **MCP Tests** (63 tests)
- All 26 MCP tools
- Transport mode testing (stdio, HTTP)
- Error handling validation
### Test Requirements Before Commits
**Per user instructions in `~/.claude/CLAUDE.md`:**
> "never skip any test. always make sure all test pass"
**This means:**
- ✅ **ALL 1,880+ tests must pass** before commits
- ✅ No skipping tests, even if they're slow
- ✅ Add tests for new features
- ✅ Fix failing tests immediately
- ✅ Maintain or improve coverage
---
## CI/CD Integration
### GitHub Actions Workflow
Skill Seekers uses GitHub Actions for automated quality checks on every commit and PR.
#### Workflow Configuration
```yaml
# .github/workflows/ci.yml (excerpt)
name: CI
on:
push:
branches: [main, development]
pull_request:
branches: [main, development]
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Install dependencies
run: pip install ruff
- name: Run Ruff Check
run: ruff check .
- name: Run Ruff Format Check
run: ruff format --check .
test:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest]
python-version: ['3.10', '3.11', '3.12', '3.13']
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install package
run: pip install -e ".[all-llms,dev]"
- name: Run tests
run: pytest tests/ --cov=src/skill_seekers --cov-report=xml
- name: Upload coverage
uses: codecov/codecov-action@v3
with:
file: ./coverage.xml
```
### CI Checks
Every commit and PR must pass:
1. **Ruff Linting** - Zero linting errors
2. **Ruff Formatting** - Consistent code style
3. **Pytest** - All 1,880+ tests passing
4. **Coverage** - >80% code coverage
5. **Multi-platform** - Ubuntu + macOS
6. **Multi-version** - Python 3.10-3.13
**Status:** ✅ All checks passing
---
## Pre-commit Hooks
### Setup
```bash
# Install pre-commit
pip install pre-commit
# Install hooks
pre-commit install
```
### Configuration
Create `.pre-commit-config.yaml`:
```yaml
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.7.0
hooks:
# Run ruff linter
- id: ruff
args: [--fix]
# Run ruff formatter
- id: ruff-format
- repo: local
hooks:
# Run tests before commit
- id: pytest
name: pytest
entry: pytest
language: system
pass_filenames: false
always_run: true
args: [tests/, -v]
```
### Usage
```bash
# Pre-commit hooks run automatically on git commit
git add .
git commit -m "Your message"
# → Runs ruff check, ruff format, pytest
# Run manually on all files
pre-commit run --all-files
# Skip hooks (emergency only!)
git commit -m "Emergency fix" --no-verify
```
---
## Best Practices
### Code Organization
#### Import Ordering
```python
# 1. Standard library imports
import os
import sys
from pathlib import Path
# 2. Third-party imports
import anthropic
import requests
from fastapi import FastAPI
# 3. Local application imports
from skill_seekers.cli.doc_scraper import scrape_all
from skill_seekers.cli.adaptors import get_adaptor
```
**Tool:** Ruff automatically sorts imports with `I` rule.
#### Naming Conventions
```python
# Constants: UPPER_SNAKE_CASE
MAX_PAGES = 500
DEFAULT_TIMEOUT = 30
# Classes: PascalCase
class DocumentationScraper:
pass
# Functions/variables: snake_case
def scrape_all(base_url, config):
pages_count = 0
return pages_count
# Private: leading underscore
def _internal_helper():
pass
```
### Documentation
#### Docstrings
```python
def scrape_all(base_url: str, config: dict) -> list[dict]:
"""Scrape documentation from a website using BFS traversal.
Args:
base_url: The root URL to start scraping from
config: Configuration dict with selectors and patterns
Returns:
List of page dictionaries containing title, content, URL
Raises:
NetworkError: If connection fails
InvalidConfigError: If config is malformed
Example:
>>> pages = scrape_all('https://docs.example.com', config)
>>> len(pages)
42
"""
pass
```
#### Type Hints
```python
from typing import Optional, Union, Literal
def package_skill(
skill_dir: str | Path,
target: Literal['claude', 'gemini', 'openai', 'markdown'],
output_path: Optional[str] = None
) -> str:
"""Package skill for target platform."""
pass
```
### Error Handling
#### Exception Patterns
```python
# Good: Specific exceptions with context
try:
result = risky_operation()
except NetworkError as e:
raise ScrapingError(f"Failed to fetch {url}") from e
# Bad: Bare except
try:
result = risky_operation()
except: # ❌ Too broad, loses error info
pass
```
#### Logging
```python
import logging
logger = logging.getLogger(__name__)
# Log at appropriate levels
logger.debug("Processing page: %s", url)
logger.info("Scraped %d pages", len(pages))
logger.warning("Rate limit approaching: %d requests", count)
logger.error("Failed to parse: %s", url, exc_info=True)
```
---
## Security Scanning
### Bandit
Bandit scans for security vulnerabilities in Python code.
#### Installation
```bash
pip install bandit
```
#### Running Bandit
```bash
# Scan all Python files
bandit -r src/
# Scan with config
bandit -r src/ -c pyproject.toml
# Generate JSON report
bandit -r src/ -f json -o bandit-report.json
```
#### Common Security Issues
**B404: Import of subprocess module**
```python
# Review: Ensure safe usage of subprocess
import subprocess
# ✅ Safe: Using subprocess with shell=False and list arguments
subprocess.run(['ls', '-l'], shell=False)
# ❌ UNSAFE: Using shell=True with user input (NEVER DO THIS)
# This is an example of what NOT to do - security vulnerability!
# subprocess.run(f'ls {user_input}', shell=True)
```
**B605: Start process with a shell**
```python
# ❌ UNSAFE: Shell injection risk (NEVER DO THIS)
# Example of security anti-pattern:
# import os
# os.system(f'rm {filename}')
# ✅ Safe: Use subprocess with list arguments
import subprocess
subprocess.run(['rm', filename], shell=False)
```
**Security Best Practices:**
- Never use `shell=True` with user input
- Always validate and sanitize user input
- Use subprocess with list arguments instead of shell commands
- Avoid dynamic command construction
---
## Development Workflow
### 1. Before Starting Work
```bash
# Pull latest changes
git checkout development
git pull origin development
# Create feature branch
git checkout -b feature/your-feature
# Install dependencies
pip install -e ".[all-llms,dev]"
```
### 2. During Development
```bash
# Run linter frequently
ruff check src/skill_seekers/cli/your_file.py --fix
# Run relevant tests
pytest tests/test_your_feature.py -v
# Check formatting
ruff format src/skill_seekers/cli/your_file.py
```
### 3. Before Committing
```bash
# Run all linting checks
ruff check .
ruff format --check .
# Run full test suite (REQUIRED)
pytest tests/ -v
# Check coverage
pytest tests/ --cov=src/skill_seekers --cov-report=term
# Verify all tests pass ✅
```
### 4. Committing Changes
```bash
# Stage changes
git add .
# Commit (pre-commit hooks will run)
git commit -m "feat: Add your feature
- Detailed change 1
- Detailed change 2
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>"
# Push to remote
git push origin feature/your-feature
```
### 5. Creating Pull Request
```bash
# Create PR via GitHub CLI
gh pr create --title "Add your feature" --body "Description..."
# CI checks will run automatically:
# ✅ Ruff linting
# ✅ Ruff formatting
# ✅ Pytest (1,880+ tests)
# ✅ Coverage report
# ✅ Multi-platform (Ubuntu + macOS)
# ✅ Multi-version (Python 3.10-3.13)
```
---
## Quality Metrics
### Current Status (v2.7.0)
| Metric | Value | Target | Status |
|--------|-------|--------|--------|
| Linting Errors | 0 | 0 | ✅ |
| Test Count | 1200+ | 1000+ | ✅ |
| Test Pass Rate | 100% | 100% | ✅ |
| Code Coverage | >85% | >80% | ✅ |
| CI Pass Rate | 100% | >95% | ✅ |
| Python Versions | 3.10-3.13 | 3.10+ | ✅ |
| Platforms | Ubuntu, macOS | 2+ | ✅ |
### Historical Improvements
| Version | Linting Errors | Tests | Coverage |
|---------|----------------|-------|----------|
| v2.5.0 | 38 | 602 | 75% |
| v2.6.0 | 21 | 700+ | 80% |
| v2.7.0 | 0 | 1200+ | 85%+ |
**Progress:** Continuous improvement in all quality metrics.
---
## Troubleshooting
### Common Issues
#### 1. Linting Errors After Update
```bash
# Update ruff
pip install --upgrade ruff
# Re-run checks
ruff check .
```
#### 2. Tests Failing Locally
```bash
# Ensure package is installed
pip install -e ".[all-llms,dev]"
# Clear pytest cache
rm -rf .pytest_cache/
rm -rf **/__pycache__/
# Re-run tests
pytest tests/ -v
```
#### 3. Coverage Too Low
```bash
# Generate detailed coverage report
pytest tests/ --cov=src/skill_seekers --cov-report=html
# Open report
open htmlcov/index.html
# Identify untested code (red lines)
# Add tests for uncovered lines
```
---
## Related Documentation
- **[Testing Guide](../guides/TESTING_GUIDE.md)** - Comprehensive testing documentation
- **[Contributing Guide](../../CONTRIBUTING.md)** - Contribution guidelines
- **[API Reference](API_REFERENCE.md)** - Programmatic usage
- **[CHANGELOG](../../CHANGELOG.md)** - Version history and changes
---
**Version:** 3.1.0-dev
**Last Updated:** 2026-02-18
**Status:** ✅ Production Ready

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# Config Format Reference - Skill Seekers
> **Version:** 3.1.0
> **Last Updated:** 2026-02-16
> **Complete JSON configuration specification**
---
## Table of Contents
- [Overview](#overview)
- [Single-Source Config](#single-source-config)
- [Documentation Source](#documentation-source)
- [GitHub Source](#github-source)
- [PDF Source](#pdf-source)
- [Local Source](#local-source)
- [Unified (Multi-Source) Config](#unified-multi-source-config)
- [Common Fields](#common-fields)
- [Selectors](#selectors)
- [Categories](#categories)
- [URL Patterns](#url-patterns)
- [Examples](#examples)
---
## Overview
Skill Seekers uses JSON configuration files to define scraping targets. There are two types:
| Type | Use Case | File |
|------|----------|------|
| **Single-Source** | One source (docs, GitHub, PDF, or local) | `*.json` |
| **Unified** | Multiple sources combined | `*-unified.json` |
---
## Single-Source Config
### Documentation Source
For scraping documentation websites.
```json
{
"name": "react",
"base_url": "https://react.dev/",
"description": "React - JavaScript library for building UIs",
"start_urls": [
"https://react.dev/learn",
"https://react.dev/reference/react"
],
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code"
},
"url_patterns": {
"include": ["/learn/", "/reference/"],
"exclude": ["/blog/", "/community/"]
},
"categories": {
"getting_started": ["learn", "tutorial", "intro"],
"api": ["reference", "api", "hooks"]
},
"rate_limit": 0.5,
"max_pages": 300,
"merge_mode": "claude-enhanced"
}
```
#### Documentation Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Skill name (alphanumeric, dashes, underscores) |
| `base_url` | string | Yes | - | Base documentation URL |
| `description` | string | No | "" | Skill description for SKILL.md |
| `start_urls` | array | No | `[base_url]` | URLs to start crawling from |
| `selectors` | object | No | see below | CSS selectors for content extraction |
| `url_patterns` | object | No | `{}` | Include/exclude URL patterns |
| `categories` | object | No | `{}` | Content categorization rules |
| `rate_limit` | number | No | 0.5 | Seconds between requests |
| `max_pages` | number | No | 500 | Maximum pages to scrape |
| `merge_mode` | string | No | "claude-enhanced" | Merge strategy |
| `extract_api` | boolean | No | false | Extract API references |
| `llms_txt_url` | string | No | auto | Path to llms.txt file |
---
### GitHub Source
For analyzing GitHub repositories.
```json
{
"name": "react-github",
"type": "github",
"repo": "facebook/react",
"description": "React GitHub repository analysis",
"enable_codebase_analysis": true,
"code_analysis_depth": "deep",
"fetch_issues": true,
"max_issues": 100,
"issue_labels": ["bug", "enhancement"],
"fetch_releases": true,
"max_releases": 20,
"fetch_changelog": true,
"analyze_commit_history": true,
"file_patterns": ["*.js", "*.ts", "*.tsx"],
"exclude_patterns": ["*.test.js", "node_modules/**"],
"rate_limit": 1.0
}
```
#### GitHub Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Skill name |
| `type` | string | Yes | - | Must be `"github"` |
| `repo` | string | Yes | - | Repository in `owner/repo` format |
| `description` | string | No | "" | Skill description |
| `enable_codebase_analysis` | boolean | No | true | Analyze source code |
| `code_analysis_depth` | string | No | "standard" | `surface`, `standard`, `deep` |
| `fetch_issues` | boolean | No | true | Fetch GitHub issues |
| `max_issues` | number | No | 100 | Maximum issues to fetch |
| `issue_labels` | array | No | [] | Filter by labels |
| `fetch_releases` | boolean | No | true | Fetch releases |
| `max_releases` | number | No | 20 | Maximum releases |
| `fetch_changelog` | boolean | No | true | Extract CHANGELOG |
| `analyze_commit_history` | boolean | No | false | Analyze commits |
| `file_patterns` | array | No | [] | Include file patterns |
| `exclude_patterns` | array | No | [] | Exclude file patterns |
---
### PDF Source
For extracting content from PDF files.
```json
{
"name": "product-manual",
"type": "pdf",
"pdf_path": "docs/manual.pdf",
"description": "Product documentation manual",
"enable_ocr": false,
"password": "",
"extract_images": true,
"image_output_dir": "output/images/",
"extract_tables": true,
"table_format": "markdown",
"page_range": [1, 100],
"split_by_chapters": true,
"chunk_size": 1000,
"chunk_overlap": 100
}
```
#### PDF Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Skill name |
| `type` | string | Yes | - | Must be `"pdf"` |
| `pdf_path` | string | Yes | - | Path to PDF file |
| `description` | string | No | "" | Skill description |
| `enable_ocr` | boolean | No | false | OCR for scanned PDFs |
| `password` | string | No | "" | PDF password if encrypted |
| `extract_images` | boolean | No | false | Extract embedded images |
| `image_output_dir` | string | No | auto | Directory for images |
| `extract_tables` | boolean | No | false | Extract tables |
| `table_format` | string | No | "markdown" | `markdown`, `json`, `csv` |
| `page_range` | array | No | all | `[start, end]` page range |
| `split_by_chapters` | boolean | No | false | Split by detected chapters |
| `chunk_size` | number | No | 1000 | Characters per chunk |
| `chunk_overlap` | number | No | 100 | Overlap between chunks |
---
### Local Source
For analyzing local codebases.
```json
{
"name": "my-project",
"type": "local",
"directory": "./my-project",
"description": "Local project analysis",
"languages": ["Python", "JavaScript"],
"file_patterns": ["*.py", "*.js"],
"exclude_patterns": ["*.pyc", "node_modules/**", ".git/**"],
"analysis_depth": "comprehensive",
"extract_api": true,
"extract_patterns": true,
"extract_test_examples": true,
"extract_how_to_guides": true,
"extract_config_patterns": true,
"include_comments": true,
"include_docstrings": true,
"include_readme": true
}
```
#### Local Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Skill name |
| `type` | string | Yes | - | Must be `"local"` |
| `directory` | string | Yes | - | Path to directory |
| `description` | string | No | "" | Skill description |
| `languages` | array | No | auto | Languages to analyze |
| `file_patterns` | array | No | all | Include patterns |
| `exclude_patterns` | array | No | common | Exclude patterns |
| `analysis_depth` | string | No | "standard" | `quick`, `standard`, `comprehensive` |
| `extract_api` | boolean | No | true | Extract API documentation |
| `extract_patterns` | boolean | No | true | Detect patterns |
| `extract_test_examples` | boolean | No | true | Extract test examples |
| `extract_how_to_guides` | boolean | No | true | Generate guides |
| `extract_config_patterns` | boolean | No | true | Extract config patterns |
| `include_comments` | boolean | No | true | Include code comments |
| `include_docstrings` | boolean | No | true | Include docstrings |
| `include_readme` | boolean | No | true | Include README |
---
## Unified (Multi-Source) Config
Combine multiple sources into one skill with conflict detection.
```json
{
"name": "react-complete",
"description": "React docs + GitHub + examples",
"merge_mode": "claude-enhanced",
"sources": [
{
"type": "docs",
"name": "react-docs",
"base_url": "https://react.dev/",
"max_pages": 200,
"categories": {
"getting_started": ["learn"],
"api": ["reference"]
}
},
{
"type": "github",
"name": "react-github",
"repo": "facebook/react",
"fetch_issues": true,
"max_issues": 50
},
{
"type": "pdf",
"name": "react-cheatsheet",
"pdf_path": "docs/react-cheatsheet.pdf"
},
{
"type": "local",
"name": "react-examples",
"directory": "./react-examples"
}
],
"conflict_detection": {
"enabled": true,
"rules": [
{
"field": "api_signature",
"action": "flag_mismatch"
}
]
},
"output_structure": {
"group_by_source": false,
"cross_reference": true
}
}
```
#### Unified Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `name` | string | Yes | - | Combined skill name |
| `description` | string | No | "" | Skill description |
| `merge_mode` | string | No | "claude-enhanced" | `rule-based`, `claude-enhanced` |
| `sources` | array | Yes | - | List of source configs |
| `conflict_detection` | object | No | `{}` | Conflict detection settings |
| `output_structure` | object | No | `{}` | Output organization |
#### Source Types in Unified Config
Each source in the `sources` array can be:
| Type | Required Fields |
|------|-----------------|
| `docs` | `base_url` |
| `github` | `repo` |
| `pdf` | `pdf_path` |
| `local` | `directory` |
---
## Common Fields
Fields available in all config types:
| Field | Type | Description |
|-------|------|-------------|
| `name` | string | Skill identifier (letters, numbers, dashes, underscores) |
| `description` | string | Human-readable description |
| `rate_limit` | number | Delay between requests in seconds |
| `output_dir` | string | Custom output directory |
| `skip_scrape` | boolean | Use existing data |
| `enhance_level` | number | 0=off, 1=SKILL.md, 2=+config, 3=full |
---
## Selectors
CSS selectors for content extraction from HTML:
```json
{
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code",
"navigation": "nav.sidebar",
"breadcrumbs": "nav[aria-label='breadcrumb']",
"next_page": "a[rel='next']",
"prev_page": "a[rel='prev']"
}
}
```
### Default Selectors
If not specified, these defaults are used:
| Element | Default Selector |
|---------|-----------------|
| `main_content` | `article, main, .content, #content, [role='main']` |
| `title` | `h1, .page-title, title` |
| `code_blocks` | `pre code, code[class*="language-"]` |
| `navigation` | `nav, .sidebar, .toc` |
---
## Categories
Map URL patterns to content categories:
```json
{
"categories": {
"getting_started": [
"intro", "tutorial", "quickstart",
"installation", "getting-started"
],
"core_concepts": [
"concept", "fundamental", "architecture",
"principle", "overview"
],
"api_reference": [
"reference", "api", "method", "function",
"class", "interface", "type"
],
"guides": [
"guide", "how-to", "example", "recipe",
"pattern", "best-practice"
],
"advanced": [
"advanced", "expert", "performance",
"optimization", "internals"
]
}
}
```
Categories appear as sections in the generated SKILL.md.
---
## URL Patterns
Control which URLs are included or excluded:
```json
{
"url_patterns": {
"include": [
"/docs/",
"/guide/",
"/api/",
"/reference/"
],
"exclude": [
"/blog/",
"/news/",
"/community/",
"/search",
"?print=1",
"/_static/",
"/_images/"
]
}
}
```
### Pattern Rules
- Patterns are matched against the URL path
- Use `*` for wildcards: `/api/v*/`
- Use `**` for recursive: `/docs/**/*.html`
- Exclude takes precedence over include
---
## Examples
### React Documentation
```json
{
"name": "react",
"base_url": "https://react.dev/",
"description": "React - JavaScript library for building UIs",
"start_urls": [
"https://react.dev/learn",
"https://react.dev/reference/react",
"https://react.dev/reference/react-dom"
],
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code"
},
"url_patterns": {
"include": ["/learn/", "/reference/", "/blog/"],
"exclude": ["/community/", "/search"]
},
"categories": {
"getting_started": ["learn", "tutorial"],
"api": ["reference", "api"],
"blog": ["blog"]
},
"rate_limit": 0.5,
"max_pages": 300
}
```
### Django GitHub
```json
{
"name": "django-github",
"type": "github",
"repo": "django/django",
"description": "Django web framework source code",
"enable_codebase_analysis": true,
"code_analysis_depth": "deep",
"fetch_issues": true,
"max_issues": 100,
"fetch_releases": true,
"file_patterns": ["*.py"],
"exclude_patterns": ["tests/**", "docs/**"]
}
```
### Unified Multi-Source
```json
{
"name": "godot-complete",
"description": "Godot Engine - docs, source, and manual",
"merge_mode": "claude-enhanced",
"sources": [
{
"type": "docs",
"name": "godot-docs",
"base_url": "https://docs.godotengine.org/en/stable/",
"max_pages": 500
},
{
"type": "github",
"name": "godot-source",
"repo": "godotengine/godot",
"fetch_issues": false
},
{
"type": "pdf",
"name": "godot-manual",
"pdf_path": "docs/godot-manual.pdf"
}
]
}
```
### Local Project
```json
{
"name": "my-api",
"type": "local",
"directory": "./my-api-project",
"description": "My REST API implementation",
"languages": ["Python"],
"file_patterns": ["*.py"],
"exclude_patterns": ["tests/**", "migrations/**"],
"analysis_depth": "comprehensive",
"extract_api": true,
"extract_test_examples": true
}
```
---
## Validation
Validate your config before scraping:
```bash
# Using CLI
skill-seekers scrape --config my-config.json --dry-run
# Using MCP tool
validate_config({"config": "my-config.json"})
```
---
## See Also
- [CLI Reference](CLI_REFERENCE.md) - Command reference
- [Environment Variables](ENVIRONMENT_VARIABLES.md) - Configuration environment
---
*For more examples, see `configs/` directory in the repository*

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# Environment Variables Reference - Skill Seekers
> **Version:** 3.1.0
> **Last Updated:** 2026-02-16
> **Complete environment variable reference**
---
## Table of Contents
- [Overview](#overview)
- [API Keys](#api-keys)
- [Platform Configuration](#platform-configuration)
- [Paths and Directories](#paths-and-directories)
- [Scraping Behavior](#scraping-behavior)
- [Enhancement Settings](#enhancement-settings)
- [GitHub Configuration](#github-configuration)
- [Vector Database Settings](#vector-database-settings)
- [Debug and Development](#debug-and-development)
- [MCP Server Settings](#mcp-server-settings)
- [Examples](#examples)
---
## Overview
Skill Seekers uses environment variables for:
- API authentication (Claude, Gemini, OpenAI, GitHub)
- Configuration paths
- Output directories
- Behavior customization
- Debug settings
Variables are read at runtime and override default settings.
---
## API Keys
### ANTHROPIC_API_KEY
**Purpose:** Claude AI API access for enhancement and upload.
**Format:** `sk-ant-api03-...`
**Used by:**
- `skill-seekers enhance` (API mode)
- `skill-seekers upload` (Claude target)
- AI enhancement features
**Example:**
```bash
export ANTHROPIC_API_KEY=sk-ant-api03-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
**Alternative:** Use `--api-key` flag per command.
---
### GOOGLE_API_KEY
**Purpose:** Google Gemini API access for upload.
**Format:** `AIza...`
**Used by:**
- `skill-seekers upload` (Gemini target)
**Example:**
```bash
export GOOGLE_API_KEY=AIzaSyxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
---
### OPENAI_API_KEY
**Purpose:** OpenAI API access for upload and embeddings.
**Format:** `sk-...`
**Used by:**
- `skill-seekers upload` (OpenAI target)
- Embedding generation for vector DBs
**Example:**
```bash
export OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
---
### GITHUB_TOKEN
**Purpose:** GitHub API authentication for higher rate limits.
**Format:** `ghp_...` (personal access token) or `github_pat_...` (fine-grained)
**Used by:**
- `skill-seekers github`
- `skill-seekers unified` (GitHub sources)
- `skill-seekers analyze` (GitHub repos)
**Benefits:**
- 5000 requests/hour vs 60 for unauthenticated
- Access to private repositories
- Higher GraphQL API limits
**Example:**
```bash
export GITHUB_TOKEN=ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
**Create token:** https://github.com/settings/tokens
---
## Platform Configuration
### ANTHROPIC_BASE_URL
**Purpose:** Custom Claude API endpoint.
**Default:** `https://api.anthropic.com`
**Use case:** Proxy servers, enterprise deployments, regional endpoints.
**Example:**
```bash
export ANTHROPIC_BASE_URL=https://custom-api.example.com
```
---
## Paths and Directories
### SKILL_SEEKERS_HOME
**Purpose:** Base directory for Skill Seekers data.
**Default:**
- Linux/macOS: `~/.config/skill-seekers/`
- Windows: `%APPDATA%\skill-seekers\`
**Used for:**
- Configuration files
- Workflow presets
- Cache data
- Checkpoints
**Example:**
```bash
export SKILL_SEEKERS_HOME=/opt/skill-seekers
```
---
### SKILL_SEEKERS_OUTPUT
**Purpose:** Default output directory for skills.
**Default:** `./output/`
**Used by:**
- All scraping commands
- Package output
- Skill generation
**Example:**
```bash
export SKILL_SEEKERS_OUTPUT=/var/skills/output
```
---
### SKILL_SEEKERS_CONFIG_DIR
**Purpose:** Directory containing preset configs.
**Default:** `configs/` (relative to working directory)
**Example:**
```bash
export SKILL_SEEKERS_CONFIG_DIR=/etc/skill-seekers/configs
```
---
## Scraping Behavior
### SKILL_SEEKERS_RATE_LIMIT
**Purpose:** Default rate limit for HTTP requests.
**Default:** `0.5` (seconds)
**Unit:** Seconds between requests
**Example:**
```bash
# More aggressive (faster)
export SKILL_SEEKERS_RATE_LIMIT=0.2
# More conservative (slower)
export SKILL_SEEKERS_RATE_LIMIT=1.0
```
**Override:** Use `--rate-limit` flag per command.
---
### SKILL_SEEKERS_MAX_PAGES
**Purpose:** Default maximum pages to scrape.
**Default:** `500`
**Example:**
```bash
export SKILL_SEEKERS_MAX_PAGES=1000
```
**Override:** Use `--max-pages` flag or config file.
---
### SKILL_SEEKERS_WORKERS
**Purpose:** Default number of parallel workers.
**Default:** `1`
**Maximum:** `10`
**Example:**
```bash
export SKILL_SEEKERS_WORKERS=4
```
**Override:** Use `--workers` flag.
---
### SKILL_SEEKERS_TIMEOUT
**Purpose:** HTTP request timeout.
**Default:** `30` (seconds)
**Example:**
```bash
# For slow servers
export SKILL_SEEKERS_TIMEOUT=60
```
---
### SKILL_SEEKERS_USER_AGENT
**Purpose:** Custom User-Agent header.
**Default:** `Skill-Seekers/3.1.0`
**Example:**
```bash
export SKILL_SEEKERS_USER_AGENT="MyBot/1.0 (contact@example.com)"
```
---
## Enhancement Settings
### SKILL_SEEKER_AGENT
**Purpose:** Default local coding agent for enhancement.
**Default:** `claude`
**Options:** `claude`, `cursor`, `windsurf`, `cline`, `continue`
**Used by:**
- `skill-seekers enhance`
**Example:**
```bash
export SKILL_SEEKER_AGENT=cursor
```
---
### SKILL_SEEKERS_ENHANCE_TIMEOUT
**Purpose:** Timeout for AI enhancement operations.
**Default:** `600` (seconds = 10 minutes)
**Example:**
```bash
# For large skills
export SKILL_SEEKERS_ENHANCE_TIMEOUT=1200
```
**Override:** Use `--timeout` flag.
---
### ANTHROPIC_MODEL
**Purpose:** Claude model for API enhancement.
**Default:** `claude-3-5-sonnet-20241022`
**Options:**
- `claude-3-5-sonnet-20241022` (recommended)
- `claude-3-opus-20240229` (highest quality, more expensive)
- `claude-3-haiku-20240307` (fastest, cheapest)
**Example:**
```bash
export ANTHROPIC_MODEL=claude-3-opus-20240229
```
---
## GitHub Configuration
### GITHUB_API_URL
**Purpose:** Custom GitHub API endpoint.
**Default:** `https://api.github.com`
**Use case:** GitHub Enterprise Server.
**Example:**
```bash
export GITHUB_API_URL=https://github.company.com/api/v3
```
---
### GITHUB_ENTERPRISE_TOKEN
**Purpose:** Separate token for GitHub Enterprise.
**Use case:** Different tokens for github.com vs enterprise.
**Example:**
```bash
export GITHUB_TOKEN=ghp_... # github.com
export GITHUB_ENTERPRISE_TOKEN=... # enterprise
```
---
## Vector Database Settings
### CHROMA_URL
**Purpose:** ChromaDB server URL.
**Default:** `http://localhost:8000`
**Used by:**
- `skill-seekers upload --target chroma`
- `export_to_chroma` MCP tool
**Example:**
```bash
export CHROMA_URL=http://chroma.example.com:8000
```
---
### CHROMA_PERSIST_DIRECTORY
**Purpose:** Local directory for ChromaDB persistence.
**Default:** `./chroma_db/`
**Example:**
```bash
export CHROMA_PERSIST_DIRECTORY=/var/lib/chroma
```
---
### WEAVIATE_URL
**Purpose:** Weaviate server URL.
**Default:** `http://localhost:8080`
**Used by:**
- `skill-seekers upload --target weaviate`
- `export_to_weaviate` MCP tool
**Example:**
```bash
export WEAVIATE_URL=https://weaviate.example.com
```
---
### WEAVIATE_API_KEY
**Purpose:** Weaviate API key for authentication.
**Used by:**
- Weaviate Cloud
- Authenticated Weaviate instances
**Example:**
```bash
export WEAVIATE_API_KEY=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
```
---
### QDRANT_URL
**Purpose:** Qdrant server URL.
**Default:** `http://localhost:6333`
**Example:**
```bash
export QDRANT_URL=http://qdrant.example.com:6333
```
---
### QDRANT_API_KEY
**Purpose:** Qdrant API key for authentication.
**Example:**
```bash
export QDRANT_API_KEY=xxxxxxxxxxxxxxxx
```
---
## Debug and Development
### SKILL_SEEKERS_DEBUG
**Purpose:** Enable debug logging.
**Values:** `1`, `true`, `yes`
**Equivalent to:** `--verbose` flag
**Example:**
```bash
export SKILL_SEEKERS_DEBUG=1
```
---
### SKILL_SEEKERS_LOG_LEVEL
**Purpose:** Set logging level.
**Default:** `INFO`
**Options:** `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`
**Example:**
```bash
export SKILL_SEEKERS_LOG_LEVEL=DEBUG
```
---
### SKILL_SEEKERS_LOG_FILE
**Purpose:** Log to file instead of stdout.
**Example:**
```bash
export SKILL_SEEKERS_LOG_FILE=/var/log/skill-seekers.log
```
---
### SKILL_SEEKERS_CACHE_DIR
**Purpose:** Custom cache directory.
**Default:** `~/.cache/skill-seekers/`
**Example:**
```bash
export SKILL_SEEKERS_CACHE_DIR=/tmp/skill-seekers-cache
```
---
### SKILL_SEEKERS_NO_CACHE
**Purpose:** Disable caching.
**Values:** `1`, `true`, `yes`
**Example:**
```bash
export SKILL_SEEKERS_NO_CACHE=1
```
---
## MCP Server Settings
### MCP_TRANSPORT
**Purpose:** Default MCP transport mode.
**Default:** `stdio`
**Options:** `stdio`, `http`
**Example:**
```bash
export MCP_TRANSPORT=http
```
**Override:** Use `--transport` flag.
---
### MCP_PORT
**Purpose:** Default MCP HTTP port.
**Default:** `8765`
**Example:**
```bash
export MCP_PORT=8080
```
**Override:** Use `--port` flag.
---
### MCP_HOST
**Purpose:** Default MCP HTTP host.
**Default:** `127.0.0.1`
**Example:**
```bash
export MCP_HOST=0.0.0.0
```
**Override:** Use `--host` flag.
---
## Examples
### Development Environment
```bash
# Debug mode
export SKILL_SEEKERS_DEBUG=1
export SKILL_SEEKERS_LOG_LEVEL=DEBUG
# Custom paths
export SKILL_SEEKERS_HOME=./.skill-seekers
export SKILL_SEEKERS_OUTPUT=./output
# Faster scraping for testing
export SKILL_SEEKERS_RATE_LIMIT=0.1
export SKILL_SEEKERS_MAX_PAGES=50
```
### Production Environment
```bash
# API keys
export ANTHROPIC_API_KEY=sk-ant-...
export GITHUB_TOKEN=ghp_...
# Custom output directory
export SKILL_SEEKERS_OUTPUT=/var/www/skills
# Conservative scraping
export SKILL_SEEKERS_RATE_LIMIT=1.0
export SKILL_SEEKERS_WORKERS=2
# Logging
export SKILL_SEEKERS_LOG_FILE=/var/log/skill-seekers.log
export SKILL_SEEKERS_LOG_LEVEL=WARNING
```
### CI/CD Environment
```bash
# Non-interactive
export SKILL_SEEKERS_LOG_LEVEL=ERROR
# API keys from secrets
export ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY_SECRET}
export GITHUB_TOKEN=${GITHUB_TOKEN_SECRET}
# Fresh runs (no cache)
export SKILL_SEEKERS_NO_CACHE=1
```
### Multi-Platform Setup
```bash
# All API keys
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIza...
export OPENAI_API_KEY=sk-...
export GITHUB_TOKEN=ghp_...
# Vector databases
export CHROMA_URL=http://localhost:8000
export WEAVIATE_URL=http://localhost:8080
export WEAVIATE_API_KEY=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
```
---
## Configuration File
Environment variables can also be set in a `.env` file:
```bash
# .env file
ANTHROPIC_API_KEY=sk-ant-...
GITHUB_TOKEN=ghp_...
SKILL_SEEKERS_OUTPUT=./output
SKILL_SEEKERS_RATE_LIMIT=0.5
```
Load with:
```bash
# Automatically loaded if python-dotenv is installed
# Or manually:
export $(cat .env | xargs)
```
---
## Priority Order
Settings are applied in this order (later overrides earlier):
1. Default values
2. Environment variables
3. Configuration file
4. Command-line flags
Example:
```bash
# Default: rate_limit = 0.5
export SKILL_SEEKERS_RATE_LIMIT=1.0 # Env var overrides default
# Config file: rate_limit = 0.2 # Config overrides env
skill-seekers scrape --rate-limit 2.0 # Flag overrides all
```
---
## Security Best Practices
### Never commit API keys
```bash
# Add to .gitignore
echo ".env" >> .gitignore
echo "*.key" >> .gitignore
```
### Use secret management
```bash
# macOS Keychain
export ANTHROPIC_API_KEY=$(security find-generic-password -s "anthropic-api" -w)
# Linux Secret Service (with secret-tool)
export ANTHROPIC_API_KEY=$(secret-tool lookup service anthropic)
# 1Password CLI
export ANTHROPIC_API_KEY=$(op read "op://vault/anthropic/credential")
```
### File permissions
```bash
# Restrict .env file
chmod 600 .env
```
---
## Troubleshooting
### Variable not recognized
```bash
# Check if set
echo $ANTHROPIC_API_KEY
# Check in Python
python -c "import os; print(os.getenv('ANTHROPIC_API_KEY'))"
```
### Priority issues
```bash
# See effective configuration
skill-seekers config --show
```
### Path expansion
```bash
# Use full path or expand tilde
export SKILL_SEEKERS_HOME=$HOME/.skill-seekers
# NOT: ~/.skill-seekers (may not expand in all shells)
```
---
## See Also
- [CLI Reference](CLI_REFERENCE.md) - Command reference
- [Config Format](CONFIG_FORMAT.md) - JSON configuration
---
*For platform-specific setup, see [Installation Guide](../getting-started/01-installation.md)*

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# Skill Seekers Feature Matrix
Complete feature support across all platforms and skill modes.
## Platform Support
| Platform | Package Format | Upload | Enhancement | API Key Required |
|----------|---------------|--------|-------------|------------------|
| **Claude AI** | ZIP | ✅ Anthropic API | ✅ Sonnet 4 | ANTHROPIC_API_KEY |
| **Google Gemini** | tar.gz | ✅ Files API | ✅ Gemini 2.0 | GOOGLE_API_KEY |
| **OpenAI ChatGPT** | ZIP | ✅ Assistants API | ✅ GPT-4o | OPENAI_API_KEY |
| **Generic Markdown** | ZIP | ❌ Manual | ❌ None | None |
## Skill Mode Support
| Mode | Description | Platforms | Example Configs |
|------|-------------|-----------|-----------------|
| **Documentation** | Scrape HTML docs | All 4 | react.json, django.json (14 total) |
| **GitHub** | Analyze repositories | All 4 | react_github.json, godot_github.json |
| **PDF** | Extract from PDFs | All 4 | example_pdf.json |
| **Unified** | Multi-source (docs+GitHub+PDF) | All 4 | react_unified.json (5 total) |
| **Local Repo** | Unlimited local analysis | All 4 | deck_deck_go_local.json |
## CLI Command Support
| Command | Platforms | Skill Modes | Multi-Platform Flag |
|---------|-----------|-------------|---------------------|
| `scrape` | All | Docs only | No (output is universal) |
| `github` | All | GitHub only | No (output is universal) |
| `pdf` | All | PDF only | No (output is universal) |
| `unified` | All | Unified only | No (output is universal) |
| `enhance` | Claude, Gemini, OpenAI | All | ✅ `--target` |
| `package` | All | All | ✅ `--target` |
| `upload` | Claude, Gemini, OpenAI | All | ✅ `--target` |
| `estimate` | All | Docs only | No (estimation is universal) |
| `install` | All | All | ✅ `--target` |
| `install-agent` | All | All | No (agent-specific paths) |
## MCP Tool Support
| Tool | Platforms | Skill Modes | Multi-Platform Param |
|------|-----------|-------------|----------------------|
| **Config Tools** |
| `generate_config` | All | All | No (creates generic JSON) |
| `list_configs` | All | All | No |
| `validate_config` | All | All | No |
| `fetch_config` | All | All | No |
| **Scraping Tools** |
| `estimate_pages` | All | Docs only | No |
| `scrape_docs` | All | Docs + Unified | No (output is universal) |
| `scrape_github` | All | GitHub only | No (output is universal) |
| `scrape_pdf` | All | PDF only | No (output is universal) |
| **Packaging Tools** |
| `package_skill` | All | All | ✅ `target` parameter |
| `upload_skill` | Claude, Gemini, OpenAI | All | ✅ `target` parameter |
| `enhance_skill` | Claude, Gemini, OpenAI | All | ✅ `target` parameter |
| `install_skill` | All | All | ✅ `target` parameter |
| **Splitting Tools** |
| `split_config` | All | Docs + Unified | No |
| `generate_router` | All | Docs only | No |
## Feature Comparison by Platform
### Claude AI (Default)
- **Format:** YAML frontmatter + markdown
- **Package:** ZIP with SKILL.md, references/, scripts/, assets/
- **Upload:** POST to https://api.anthropic.com/v1/skills
- **Enhancement:** Claude Sonnet 4 (local or API)
- **Unique Features:** MCP integration, Skills API
- **Limitations:** No vector store, no file search
### Google Gemini
- **Format:** Plain markdown (no frontmatter)
- **Package:** tar.gz with system_instructions.md, references/, metadata
- **Upload:** Google Files API
- **Enhancement:** Gemini 2.0 Flash
- **Unique Features:** Grounding support, long context (1M tokens)
- **Limitations:** tar.gz format only
### OpenAI ChatGPT
- **Format:** Assistant instructions (plain text)
- **Package:** ZIP with assistant_instructions.txt, vector_store_files/, metadata
- **Upload:** Assistants API + Vector Store creation
- **Enhancement:** GPT-4o
- **Unique Features:** Vector store, file_search tool, semantic search
- **Limitations:** Requires Assistants API structure
### Generic Markdown
- **Format:** Pure markdown (universal)
- **Package:** ZIP with README.md, DOCUMENTATION.md, references/
- **Upload:** None (manual distribution)
- **Enhancement:** None
- **Unique Features:** Works with any LLM, no API dependencies
- **Limitations:** No upload, no enhancement
## Workflow Coverage
### Single-Source Workflow
```
Config → Scrape → Build → [Enhance] → Package --target X → [Upload --target X]
```
**Platforms:** All 4
**Modes:** Docs, GitHub, PDF
### Unified Multi-Source Workflow
```
Config → Scrape All → Detect Conflicts → Merge → Build → [Enhance] → Package --target X → [Upload --target X]
```
**Platforms:** All 4
**Modes:** Unified only
### Complete Installation Workflow
```
install --target X → Fetch → Scrape → Enhance → Package → Upload
```
**Platforms:** All 4
**Modes:** All (via config type detection)
## API Key Requirements
| Platform | Environment Variable | Key Format | Required For |
|----------|---------------------|------------|--------------|
| Claude | `ANTHROPIC_API_KEY` | `sk-ant-*` | Upload, API Enhancement |
| Gemini | `GOOGLE_API_KEY` | `AIza*` | Upload, API Enhancement |
| OpenAI | `OPENAI_API_KEY` | `sk-*` | Upload, API Enhancement |
| Markdown | None | N/A | Nothing |
**Note:** Local enhancement (Claude Code Max) requires no API key for any platform.
## Installation Options
```bash
# Core package (Claude only)
pip install skill-seekers
# With Gemini support
pip install skill-seekers[gemini]
# With OpenAI support
pip install skill-seekers[openai]
# With all platforms
pip install skill-seekers[all-llms]
```
## Examples
### Package for Multiple Platforms (Same Skill)
```bash
# Scrape once (platform-agnostic)
skill-seekers scrape --config configs/react.json
# Package for all platforms
skill-seekers package output/react/ --target claude
skill-seekers package output/react/ --target gemini
skill-seekers package output/react/ --target openai
skill-seekers package output/react/ --target markdown
# Result:
# - react.zip (Claude)
# - react-gemini.tar.gz (Gemini)
# - react-openai.zip (OpenAI)
# - react-markdown.zip (Universal)
```
### Upload to Multiple Platforms
```bash
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIzaSy...
export OPENAI_API_KEY=sk-proj-...
skill-seekers upload react.zip --target claude
skill-seekers upload react-gemini.tar.gz --target gemini
skill-seekers upload react-openai.zip --target openai
```
### Use MCP Tools for Any Platform
```python
# In Claude Code or any MCP client
# Package for Gemini
package_skill(skill_dir="output/react", target="gemini")
# Upload to OpenAI
upload_skill(skill_zip="output/react-openai.zip", target="openai")
# Enhance with Gemini
enhance_skill(skill_dir="output/react", target="gemini", mode="api")
```
### Complete Workflow with Different Platforms
```bash
# Install React skill for Claude (default)
skill-seekers install --config react
# Install Django skill for Gemini
skill-seekers install --config django --target gemini
# Install FastAPI skill for OpenAI
skill-seekers install --config fastapi --target openai
# Install Vue skill as generic markdown
skill-seekers install --config vue --target markdown
```
### Split Unified Config by Source
```bash
# Split multi-source config into separate configs
skill-seekers split --config configs/react_unified.json --strategy source
# Creates:
# - react-documentation.json (docs only)
# - react-github.json (GitHub only)
# Then scrape each separately
skill-seekers unified --config react-documentation.json
skill-seekers unified --config react-github.json
# Or scrape in parallel for speed
skill-seekers unified --config react-documentation.json &
skill-seekers unified --config react-github.json &
wait
```
## Verification Checklist
Before release, verify all combinations:
### CLI Commands × Platforms
- [ ] scrape → package claude → upload claude
- [ ] scrape → package gemini → upload gemini
- [ ] scrape → package openai → upload openai
- [ ] scrape → package markdown
- [ ] github → package (all platforms)
- [ ] pdf → package (all platforms)
- [ ] unified → package (all platforms)
- [ ] enhance claude
- [ ] enhance gemini
- [ ] enhance openai
### MCP Tools × Platforms
- [ ] package_skill target=claude
- [ ] package_skill target=gemini
- [ ] package_skill target=openai
- [ ] package_skill target=markdown
- [ ] upload_skill target=claude
- [ ] upload_skill target=gemini
- [ ] upload_skill target=openai
- [ ] enhance_skill target=claude
- [ ] enhance_skill target=gemini
- [ ] enhance_skill target=openai
- [ ] install_skill target=claude
- [ ] install_skill target=gemini
- [ ] install_skill target=openai
### Skill Modes × Platforms
- [ ] Docs → Claude
- [ ] Docs → Gemini
- [ ] Docs → OpenAI
- [ ] Docs → Markdown
- [ ] GitHub → All platforms
- [ ] PDF → All platforms
- [ ] Unified → All platforms
- [ ] Local Repo → All platforms
## Platform-Specific Notes
### Claude AI
- **Best for:** General-purpose skills, MCP integration
- **When to use:** Default choice, best MCP support
- **File size limit:** 25 MB per skill package
### Google Gemini
- **Best for:** Large context skills, grounding support
- **When to use:** Need long context (1M tokens), grounding features
- **File size limit:** 100 MB per upload
### OpenAI ChatGPT
- **Best for:** Vector search, semantic retrieval
- **When to use:** Need semantic search across documentation
- **File size limit:** 512 MB per vector store
### Generic Markdown
- **Best for:** Universal compatibility, no API dependencies
- **When to use:** Using non-Claude/Gemini/OpenAI LLMs, offline use
- **Distribution:** Manual - share ZIP file directly
## Frequently Asked Questions
**Q: Can I package once and upload to multiple platforms?**
A: No. Each platform requires a platform-specific package format. You must:
1. Scrape once (universal)
2. Package separately for each platform (`--target` flag)
3. Upload each platform-specific package
**Q: Do I need to scrape separately for each platform?**
A: No! Scraping is platform-agnostic. Scrape once, then package for multiple platforms.
**Q: Which platform should I choose?**
A:
- **Claude:** Best default choice, excellent MCP integration
- **Gemini:** Choose if you need long context (1M tokens) or grounding
- **OpenAI:** Choose if you need vector search and semantic retrieval
- **Markdown:** Choose for universal compatibility or offline use
**Q: Can I enhance a skill for different platforms?**
A: Yes! Enhancement adds platform-specific formatting:
- Claude: YAML frontmatter + markdown
- Gemini: Plain markdown with system instructions
- OpenAI: Plain text assistant instructions
**Q: Do all skill modes work with all platforms?**
A: Yes! All 5 skill modes (Docs, GitHub, PDF, Unified, Local Repo) work with all 4 platforms.
## See Also
- **[README.md](../README.md)** - Complete user documentation
- **[UNIFIED_SCRAPING.md](UNIFIED_SCRAPING.md)** - Multi-source scraping guide
- **[ENHANCEMENT.md](ENHANCEMENT.md)** - AI enhancement guide
- **[UPLOAD_GUIDE.md](UPLOAD_GUIDE.md)** - Upload instructions
- **[MCP_SETUP.md](MCP_SETUP.md)** - MCP server setup

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# Git-Based Config Sources - Complete Guide
**Version:** v2.2.0
**Feature:** A1.9 - Multi-Source Git Repository Support
**Last Updated:** December 21, 2025
---
## Table of Contents
- [Overview](#overview)
- [Quick Start](#quick-start)
- [Architecture](#architecture)
- [MCP Tools Reference](#mcp-tools-reference)
- [Authentication](#authentication)
- [Use Cases](#use-cases)
- [Best Practices](#best-practices)
- [Troubleshooting](#troubleshooting)
- [Advanced Topics](#advanced-topics)
---
## Overview
### What is this feature?
Git-based config sources allow you to fetch config files from **private/team git repositories** in addition to the public API. This unlocks:
- 🔐 **Private configs** - Company/internal documentation
- 👥 **Team collaboration** - Share configs across 3-5 person teams
- 🏢 **Enterprise scale** - Support 500+ developers
- 📦 **Custom collections** - Curated config repositories
- 🌐 **Decentralized** - Like npm (public + private registries)
### How it works
```
User → fetch_config(source="team", config_name="react-custom")
↓
SourceManager (~/.skill-seekers/sources.json)
↓
GitConfigRepo (clone/pull with GitPython)
↓
Local cache (~/.skill-seekers/cache/team/)
↓
Config JSON returned
```
### Three modes
1. **API Mode** (existing, unchanged)
- `fetch_config(config_name="react")`
- Fetches from api.skillseekersweb.com
2. **Source Mode** (NEW - recommended)
- `fetch_config(source="team", config_name="react-custom")`
- Uses registered git source
3. **Git URL Mode** (NEW - one-time)
- `fetch_config(git_url="https://...", config_name="react-custom")`
- Direct clone without registration
---
## Quick Start
### 1. Set up authentication
```bash
# GitHub
export GITHUB_TOKEN=ghp_your_token_here
# GitLab
export GITLAB_TOKEN=glpat_your_token_here
# Bitbucket
export BITBUCKET_TOKEN=your_token_here
```
### 2. Register a source
Using MCP tools (recommended):
```python
add_config_source(
name="team",
git_url="https://github.com/mycompany/skill-configs.git",
source_type="github", # Optional, auto-detected
token_env="GITHUB_TOKEN", # Optional, auto-detected
branch="main", # Optional, default: "main"
priority=100 # Optional, lower = higher priority
)
```
### 3. Fetch configs
```python
# From registered source
fetch_config(source="team", config_name="react-custom")
# List available sources
list_config_sources()
# Remove when done
remove_config_source(name="team")
```
### 4. Quick test with example repository
```bash
cd /path/to/Skill_Seekers
# Run E2E test
python3 configs/example-team/test_e2e.py
# Or test manually
add_config_source(
name="example",
git_url="file://$(pwd)/configs/example-team",
branch="master"
)
fetch_config(source="example", config_name="react-custom")
```
---
## Architecture
### Storage Locations
**Sources Registry:**
```
~/.skill-seekers/sources.json
```
Example content:
```json
{
"version": "1.0",
"sources": [
{
"name": "team",
"git_url": "https://github.com/myorg/configs.git",
"type": "github",
"token_env": "GITHUB_TOKEN",
"branch": "main",
"enabled": true,
"priority": 1,
"added_at": "2025-12-21T10:00:00Z",
"updated_at": "2025-12-21T10:00:00Z"
}
]
}
```
**Cache Directory:**
```
$SKILL_SEEKERS_CACHE_DIR (default: ~/.skill-seekers/cache/)
```
Structure:
```
~/.skill-seekers/
├── sources.json # Source registry
└── cache/ # Git clones
├── team/ # One directory per source
│ ├── .git/
│ ├── react-custom.json
│ └── vue-internal.json
└── company/
├── .git/
└── internal-api.json
```
### Git Strategy
- **Shallow clone**: `git clone --depth 1 --single-branch`
- 10-50x faster
- Minimal disk space
- No history, just latest commit
- **Auto-pull**: Updates cache automatically
- Checks for changes on each fetch
- Use `refresh=true` to force re-clone
- **Config discovery**: Recursively scans for `*.json` files
- No hardcoded paths
- Flexible repository structure
- Excludes `.git` directory
---
## MCP Tools Reference
### add_config_source
Register a git repository as a config source.
**Parameters:**
- `name` (required): Source identifier (lowercase, alphanumeric, hyphens/underscores)
- `git_url` (required): Git repository URL (HTTPS or SSH)
- `source_type` (optional): "github", "gitlab", "gitea", "bitbucket", "custom" (auto-detected from URL)
- `token_env` (optional): Environment variable name for token (auto-detected from type)
- `branch` (optional): Git branch (default: "main")
- `priority` (optional): Priority number (default: 100, lower = higher priority)
- `enabled` (optional): Whether source is active (default: true)
**Returns:**
- Source details including registration timestamp
**Examples:**
```python
# Minimal (auto-detects everything)
add_config_source(
name="team",
git_url="https://github.com/myorg/configs.git"
)
# Full parameters
add_config_source(
name="company",
git_url="https://gitlab.company.com/platform/configs.git",
source_type="gitlab",
token_env="GITLAB_COMPANY_TOKEN",
branch="develop",
priority=1,
enabled=true
)
# SSH URL (auto-converts to HTTPS with token)
add_config_source(
name="team",
git_url="git@github.com:myorg/configs.git",
token_env="GITHUB_TOKEN"
)
```
### list_config_sources
List all registered config sources.
**Parameters:**
- `enabled_only` (optional): Only show enabled sources (default: false)
**Returns:**
- List of sources sorted by priority
**Example:**
```python
# List all sources
list_config_sources()
# List only enabled sources
list_config_sources(enabled_only=true)
```
**Output:**
```
📋 Config Sources (2 total)
✓ **team**
📁 https://github.com/myorg/configs.git
🔖 Type: github | 🌿 Branch: main
🔑 Token: GITHUB_TOKEN | ⚡ Priority: 1
🕒 Added: 2025-12-21 10:00:00
✓ **company**
📁 https://gitlab.company.com/configs.git
🔖 Type: gitlab | 🌿 Branch: develop
🔑 Token: GITLAB_TOKEN | ⚡ Priority: 2
🕒 Added: 2025-12-21 11:00:00
```
### remove_config_source
Remove a registered config source.
**Parameters:**
- `name` (required): Source identifier
**Returns:**
- Success/failure message
**Note:** Does NOT delete cached git repository data. To free disk space, manually delete `~/.skill-seekers/cache/{source_name}/`
**Example:**
```python
remove_config_source(name="team")
```
### fetch_config
Fetch config from API, git URL, or named source.
**Mode 1: Named Source (highest priority)**
```python
fetch_config(
source="team", # Use registered source
config_name="react-custom",
destination="configs/", # Optional
branch="main", # Optional, overrides source default
refresh=false # Optional, force re-clone
)
```
**Mode 2: Direct Git URL**
```python
fetch_config(
git_url="https://github.com/myorg/configs.git",
config_name="react-custom",
branch="main", # Optional
token="ghp_token", # Optional, prefer env vars
destination="configs/", # Optional
refresh=false # Optional
)
```
**Mode 3: API (existing, unchanged)**
```python
fetch_config(
config_name="react",
destination="configs/" # Optional
)
# Or list available
fetch_config(list_available=true)
```
---
## Authentication
### Environment Variables Only
Tokens are **ONLY** stored in environment variables. This is:
- ✅ **Secure** - Not in files, not in git
- ✅ **Standard** - Same as GitHub CLI, Docker, etc.
- ✅ **Temporary** - Cleared on logout
- ✅ **Flexible** - Different tokens for different services
### Creating Tokens
**GitHub:**
1. Go to https://github.com/settings/tokens
2. Generate new token (classic)
3. Select scopes: `repo` (for private repos)
4. Copy token: `ghp_xxxxxxxxxxxxx`
5. Export: `export GITHUB_TOKEN=ghp_xxxxxxxxxxxxx`
**GitLab:**
1. Go to https://gitlab.com/-/profile/personal_access_tokens
2. Create token with `read_repository` scope
3. Copy token: `glpat-xxxxxxxxxxxxx`
4. Export: `export GITLAB_TOKEN=glpat-xxxxxxxxxxxxx`
**Bitbucket:**
1. Go to https://bitbucket.org/account/settings/app-passwords/
2. Create app password with `Repositories: Read` permission
3. Copy password
4. Export: `export BITBUCKET_TOKEN=your_password`
### Persistent Tokens
Add to your shell profile (`~/.bashrc`, `~/.zshrc`, etc.):
```bash
# GitHub token
export GITHUB_TOKEN=ghp_xxxxxxxxxxxxx
# GitLab token
export GITLAB_TOKEN=glpat-xxxxxxxxxxxxx
# Company GitLab (separate token)
export GITLAB_COMPANY_TOKEN=glpat-yyyyyyyyyyyyy
```
Then: `source ~/.bashrc`
### Token Injection
GitConfigRepo automatically:
1. Converts SSH URLs to HTTPS
2. Injects token into URL
3. Uses token for authentication
**Example:**
- Input: `git@github.com:myorg/repo.git` + token `ghp_xxx`
- Output: `https://ghp_xxx@github.com/myorg/repo.git`
---
## Use Cases
### Small Team (3-5 people)
**Scenario:** Frontend team needs custom React configs for internal docs.
**Setup:**
```bash
# 1. Team lead creates repo
gh repo create myteam/skill-configs --private
# 2. Add configs
cd myteam-skill-configs
cp ../Skill_Seekers/configs/react.json ./react-internal.json
# Edit for internal docs:
# - Change base_url to internal docs site
# - Adjust selectors for company theme
# - Customize categories
git add . && git commit -m "Add internal React config" && git push
# 3. Team members register (one-time)
export GITHUB_TOKEN=ghp_their_token
add_config_source(
name="team",
git_url="https://github.com/myteam/skill-configs.git"
)
# 4. Daily usage
fetch_config(source="team", config_name="react-internal")
```
**Benefits:**
- ✅ Shared configs across team
- ✅ Version controlled
- ✅ Private to company
- ✅ Easy updates (git push)
### Enterprise (500+ developers)
**Scenario:** Large company with multiple teams, internal docs, and priority-based config resolution.
**Setup:**
```bash
# IT pre-configures sources for all developers
# (via company setup script or documentation)
# 1. Platform team configs (highest priority)
add_config_source(
name="platform",
git_url="https://gitlab.company.com/platform/skill-configs.git",
source_type="gitlab",
token_env="GITLAB_COMPANY_TOKEN",
priority=1
)
# 2. Mobile team configs
add_config_source(
name="mobile",
git_url="https://gitlab.company.com/mobile/skill-configs.git",
source_type="gitlab",
token_env="GITLAB_COMPANY_TOKEN",
priority=2
)
# 3. Public/official configs (fallback)
# (API mode, no registration needed, lowest priority)
```
**Developer usage:**
```python
# Automatically finds config with highest priority
fetch_config(config_name="platform-api") # Found in platform source
fetch_config(config_name="react-native") # Found in mobile source
fetch_config(config_name="react") # Falls back to public API
```
**Benefits:**
- ✅ Centralized config management
- ✅ Team-specific overrides
- ✅ Fallback to public configs
- ✅ Priority-based resolution
- ✅ Scales to hundreds of developers
### Open Source Project
**Scenario:** Open source project wants curated configs for contributors.
**Setup:**
```bash
# 1. Create public repo
gh repo create myproject/skill-configs --public
# 2. Add configs for project stack
- react.json (frontend)
- django.json (backend)
- postgres.json (database)
- nginx.json (deployment)
# 3. Contributors use directly (no token needed for public repos)
add_config_source(
name="myproject",
git_url="https://github.com/myproject/skill-configs.git"
)
fetch_config(source="myproject", config_name="react")
```
**Benefits:**
- ✅ Curated configs for project
- ✅ No API dependency
- ✅ Community contributions via PR
- ✅ Version controlled
---
## Best Practices
### Config Naming
**Good:**
- `react-internal.json` - Clear purpose
- `api-v2.json` - Version included
- `platform-auth.json` - Specific topic
**Bad:**
- `config1.json` - Generic
- `react.json` - Conflicts with official
- `test.json` - Not descriptive
### Repository Structure
**Flat (recommended for small repos):**
```
skill-configs/
├── README.md
├── react-internal.json
├── vue-internal.json
└── api-v2.json
```
**Organized (recommended for large repos):**
```
skill-configs/
├── README.md
├── frontend/
│ ├── react-internal.json
│ └── vue-internal.json
├── backend/
│ ├── django-api.json
│ └── fastapi-platform.json
└── mobile/
├── react-native.json
└── flutter.json
```
**Note:** Config discovery works recursively, so both structures work!
### Source Priorities
Lower number = higher priority. Use sensible defaults:
- `1-10`: Critical/override configs
- `50-100`: Team configs (default: 100)
- `1000+`: Fallback/experimental
**Example:**
```python
# Override official React config with internal version
add_config_source(name="team", ..., priority=1) # Checked first
# Official API is checked last (priority: infinity)
```
### Security
✅ **DO:**
- Use environment variables for tokens
- Use private repos for sensitive configs
- Rotate tokens regularly
- Use fine-grained tokens (read-only if possible)
❌ **DON'T:**
- Commit tokens to git
- Share tokens between people
- Use personal tokens for teams (use service accounts)
- Store tokens in config files
### Maintenance
**Regular tasks:**
```bash
# Update configs in repo
cd myteam-skill-configs
# Edit configs...
git commit -m "Update React config" && git push
# Developers get updates automatically on next fetch
fetch_config(source="team", config_name="react-internal")
# ^--- Auto-pulls latest changes
```
**Force refresh:**
```python
# Delete cache and re-clone
fetch_config(source="team", config_name="react-internal", refresh=true)
```
**Clean up old sources:**
```bash
# Remove unused sources
remove_config_source(name="old-team")
# Free disk space
rm -rf ~/.skill-seekers/cache/old-team/
```
---
## Troubleshooting
### Authentication Failures
**Error:** "Authentication failed for https://github.com/org/repo.git"
**Solutions:**
1. Check token is set:
```bash
echo $GITHUB_TOKEN # Should show token
```
2. Verify token has correct permissions:
- GitHub: `repo` scope for private repos
- GitLab: `read_repository` scope
3. Check token isn't expired:
- Regenerate if needed
4. Try direct access:
```bash
git clone https://$GITHUB_TOKEN@github.com/org/repo.git test-clone
```
### Config Not Found
**Error:** "Config 'react' not found in repository. Available configs: django, vue"
**Solutions:**
1. List available configs:
```python
# Shows what's actually in the repo
list_config_sources()
```
2. Check config file exists in repo:
```bash
# Clone locally and inspect
git clone <git_url> temp-inspect
find temp-inspect -name "*.json"
```
3. Verify config name (case-insensitive):
- `react` matches `React.json` or `react.json`
### Slow Cloning
**Issue:** Repository takes minutes to clone.
**Solutions:**
1. Shallow clone is already enabled (depth=1)
2. Check repository size:
```bash
# See repo size
gh repo view owner/repo --json diskUsage
```
3. If very large (>100MB), consider:
- Splitting configs into separate repos
- Using sparse checkout
- Contacting IT to optimize repo
### Cache Issues
**Issue:** Getting old configs even after updating repo.
**Solutions:**
1. Force refresh:
```python
fetch_config(source="team", config_name="react", refresh=true)
```
2. Manual cache clear:
```bash
rm -rf ~/.skill-seekers/cache/team/
```
3. Check auto-pull worked:
```bash
cd ~/.skill-seekers/cache/team
git log -1 # Shows latest commit
```
---
## Advanced Topics
### Multiple Git Accounts
Use different tokens for different repos:
```bash
# Personal GitHub
export GITHUB_TOKEN=ghp_personal_xxx
# Work GitHub
export GITHUB_WORK_TOKEN=ghp_work_yyy
# Company GitLab
export GITLAB_COMPANY_TOKEN=glpat-zzz
```
Register with specific tokens:
```python
add_config_source(
name="personal",
git_url="https://github.com/myuser/configs.git",
token_env="GITHUB_TOKEN"
)
add_config_source(
name="work",
git_url="https://github.com/mycompany/configs.git",
token_env="GITHUB_WORK_TOKEN"
)
```
### Custom Cache Location
Set custom cache directory:
```bash
export SKILL_SEEKERS_CACHE_DIR=/mnt/large-disk/skill-seekers-cache
```
Or pass to GitConfigRepo:
```python
from skill_seekers.mcp.git_repo import GitConfigRepo
gr = GitConfigRepo(cache_dir="/custom/path/cache")
```
### SSH URLs
SSH URLs are automatically converted to HTTPS + token:
```python
# Input
add_config_source(
name="team",
git_url="git@github.com:myorg/configs.git",
token_env="GITHUB_TOKEN"
)
# Internally becomes
# https://ghp_xxx@github.com/myorg/configs.git
```
### Priority Resolution
When same config exists in multiple sources:
```python
add_config_source(name="team", ..., priority=1) # Checked first
add_config_source(name="company", ..., priority=2) # Checked second
# API mode is checked last (priority: infinity)
fetch_config(config_name="react")
# 1. Checks team source
# 2. If not found, checks company source
# 3. If not found, falls back to API
```
### CI/CD Integration
Use in GitHub Actions:
```yaml
name: Generate Skills
on: push
jobs:
generate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Install Skill Seekers
run: pip install skill-seekers
- name: Register config source
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
python3 << EOF
from skill_seekers.mcp.source_manager import SourceManager
sm = SourceManager()
sm.add_source(
name="team",
git_url="https://github.com/myorg/configs.git"
)
EOF
- name: Fetch and use config
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
# Use MCP fetch_config or direct Python
skill-seekers scrape --config <fetched_config>
```
---
## API Reference
### GitConfigRepo Class
**Location:** `src/skill_seekers/mcp/git_repo.py`
**Methods:**
```python
def __init__(cache_dir: Optional[str] = None)
"""Initialize with optional cache directory."""
def clone_or_pull(
source_name: str,
git_url: str,
branch: str = "main",
token: Optional[str] = None,
force_refresh: bool = False
) -> Path:
"""Clone if not cached, else pull latest changes."""
def find_configs(repo_path: Path) -> list[Path]:
"""Find all *.json files in repository."""
def get_config(repo_path: Path, config_name: str) -> dict:
"""Load specific config by name."""
@staticmethod
def inject_token(git_url: str, token: str) -> str:
"""Inject token into git URL."""
@staticmethod
def validate_git_url(git_url: str) -> bool:
"""Validate git URL format."""
```
### SourceManager Class
**Location:** `src/skill_seekers/mcp/source_manager.py`
**Methods:**
```python
def __init__(config_dir: Optional[str] = None)
"""Initialize with optional config directory."""
def add_source(
name: str,
git_url: str,
source_type: str = "github",
token_env: Optional[str] = None,
branch: str = "main",
priority: int = 100,
enabled: bool = True
) -> dict:
"""Add or update config source."""
def get_source(name: str) -> dict:
"""Get source by name."""
def list_sources(enabled_only: bool = False) -> list[dict]:
"""List all sources."""
def remove_source(name: str) -> bool:
"""Remove source."""
def update_source(name: str, **kwargs) -> dict:
"""Update specific fields."""
```
---
## See Also
- [README.md](../README.md) - Main documentation
- [MCP_SETUP.md](MCP_SETUP.md) - MCP server setup
- [UNIFIED_SCRAPING.md](UNIFIED_SCRAPING.md) - Multi-source scraping
- [configs/example-team/](../configs/example-team/) - Example repository
---
## Changelog
### v2.2.0 (2025-12-21)
- Initial release of git-based config sources
- 3 fetch modes: API, Git URL, Named Source
- 4 MCP tools: add/list/remove/fetch
- Support for GitHub, GitLab, Bitbucket, Gitea
- Shallow clone optimization
- Priority-based resolution
- 83 tests (100% passing)
---
**Questions?** Open an issue at https://github.com/yusufkaraaslan/Skill_Seekers/issues

431
docs/zh-CN/reference/LARGE_DOCUMENTATION.md Normal file
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@@ -0,0 +1,431 @@
# Handling Large Documentation Sites (10K+ Pages)
Complete guide for scraping and managing large documentation sites with Skill Seeker.
---
## Table of Contents
- [When to Split Documentation](#when-to-split-documentation)
- [Split Strategies](#split-strategies)
- [Quick Start](#quick-start)
- [Detailed Workflows](#detailed-workflows)
- [Best Practices](#best-practices)
- [Examples](#examples)
- [Troubleshooting](#troubleshooting)
---
## When to Split Documentation
### Size Guidelines
| Documentation Size | Recommendation | Strategy |
|-------------------|----------------|----------|
| < 5,000 pages | **One skill** | No splitting needed |
| 5,000 - 10,000 pages | **Consider splitting** | Category-based |
| 10,000 - 30,000 pages | **Recommended** | Router + Categories |
| 30,000+ pages | **Strongly recommended** | Router + Categories |
### Why Split Large Documentation?
**Benefits:**
- ✅ Faster scraping (parallel execution)
- ✅ More focused skills (better Claude performance)
- ✅ Easier maintenance (update one topic at a time)
- ✅ Better user experience (precise answers)
- ✅ Avoids context window limits
**Trade-offs:**
- ⚠️ Multiple skills to manage
- ⚠️ Initial setup more complex
- ⚠️ Router adds one extra skill
---
## Split Strategies
### 1. **No Split** (One Big Skill)
**Best for:** Small to medium documentation (< 5K pages)
```bash
# Just use the config as-is
python3 cli/doc_scraper.py --config configs/react.json
```
**Pros:** Simple, one skill to maintain
**Cons:** Can be slow for large docs, may hit limits
---
### 2. **Category Split** (Multiple Focused Skills)
**Best for:** 5K-15K pages with clear topic divisions
```bash
# Auto-split by categories
python3 cli/split_config.py configs/godot.json --strategy category
# Creates:
# - godot-scripting.json
# - godot-2d.json
# - godot-3d.json
# - godot-physics.json
# - etc.
```
**Pros:** Focused skills, clear separation
**Cons:** User must know which skill to use
---
### 3. **Router + Categories** (Intelligent Hub) ⭐ RECOMMENDED
**Best for:** 10K+ pages, best user experience
```bash
# Create router + sub-skills
python3 cli/split_config.py configs/godot.json --strategy router
# Creates:
# - godot.json (router/hub)
# - godot-scripting.json
# - godot-2d.json
# - etc.
```
**Pros:** Best of both worlds, intelligent routing, natural UX
**Cons:** Slightly more complex setup
---
### 4. **Size-Based Split**
**Best for:** Docs without clear categories
```bash
# Split every 5000 pages
python3 cli/split_config.py configs/bigdocs.json --strategy size --target-pages 5000
# Creates:
# - bigdocs-part1.json
# - bigdocs-part2.json
# - bigdocs-part3.json
# - etc.
```
**Pros:** Simple, predictable
**Cons:** May split related topics
---
## Quick Start
### Option 1: Automatic (Recommended)
```bash
# 1. Create config
python3 cli/doc_scraper.py --interactive
# Name: godot
# URL: https://docs.godotengine.org
# ... fill in prompts ...
# 2. Estimate pages (discovers it's large)
python3 cli/estimate_pages.py configs/godot.json
# Output: ⚠️ 40,000 pages detected - splitting recommended
# 3. Auto-split with router
python3 cli/split_config.py configs/godot.json --strategy router
# 4. Scrape all sub-skills
for config in configs/godot-*.json; do
python3 cli/doc_scraper.py --config $config &
done
wait
# 5. Generate router
python3 cli/generate_router.py configs/godot-*.json
# 6. Package all
python3 cli/package_multi.py output/godot*/
# 7. Upload all .zip files to Claude
```
---
### Option 2: Manual Control
```bash
# 1. Define split in config
nano configs/godot.json
# Add:
{
"split_strategy": "router",
"split_config": {
"target_pages_per_skill": 5000,
"create_router": true,
"split_by_categories": ["scripting", "2d", "3d", "physics"]
}
}
# 2. Split
python3 cli/split_config.py configs/godot.json
# 3. Continue as above...
```
---
## Detailed Workflows
### Workflow 1: Router + Categories (40K Pages)
**Scenario:** Godot documentation (40,000 pages)
**Step 1: Estimate**
```bash
python3 cli/estimate_pages.py configs/godot.json
# Output:
# Estimated: 40,000 pages
# Recommended: Split into 8 skills (5K each)
```
**Step 2: Split Configuration**
```bash
python3 cli/split_config.py configs/godot.json --strategy router --target-pages 5000
# Creates:
# configs/godot.json (router)
# configs/godot-scripting.json (5K pages)
# configs/godot-2d.json (8K pages)
# configs/godot-3d.json (10K pages)
# configs/godot-physics.json (6K pages)
# configs/godot-shaders.json (11K pages)
```
**Step 3: Scrape Sub-Skills (Parallel)**
```bash
# Open multiple terminals or use background jobs
python3 cli/doc_scraper.py --config configs/godot-scripting.json &
python3 cli/doc_scraper.py --config configs/godot-2d.json &
python3 cli/doc_scraper.py --config configs/godot-3d.json &
python3 cli/doc_scraper.py --config configs/godot-physics.json &
python3 cli/doc_scraper.py --config configs/godot-shaders.json &
# Wait for all to complete
wait
# Time: 4-8 hours (parallel) vs 20-40 hours (sequential)
```
**Step 4: Generate Router**
```bash
python3 cli/generate_router.py configs/godot-*.json
# Creates:
# output/godot/SKILL.md (router skill)
```
**Step 5: Package All**
```bash
python3 cli/package_multi.py output/godot*/
# Creates:
# output/godot.zip (router)
# output/godot-scripting.zip
# output/godot-2d.zip
# output/godot-3d.zip
# output/godot-physics.zip
# output/godot-shaders.zip
```
**Step 6: Upload to Claude**
Upload all 6 .zip files to Claude. The router will intelligently direct queries to the right sub-skill!
---
### Workflow 2: Category Split Only (15K Pages)
**Scenario:** Vue.js documentation (15,000 pages)
**No router needed - just focused skills:**
```bash
# 1. Split
python3 cli/split_config.py configs/vue.json --strategy category
# 2. Scrape each
for config in configs/vue-*.json; do
python3 cli/doc_scraper.py --config $config
done
# 3. Package
python3 cli/package_multi.py output/vue*/
# 4. Upload all to Claude
```
**Result:** 5 focused Vue skills (components, reactivity, routing, etc.)
---
## Best Practices
### 1. **Choose Target Size Wisely**
```bash
# Small focused skills (3K-5K pages) - more skills, very focused
python3 cli/split_config.py config.json --target-pages 3000
# Medium skills (5K-8K pages) - balanced (RECOMMENDED)
python3 cli/split_config.py config.json --target-pages 5000
# Larger skills (8K-10K pages) - fewer skills, broader
python3 cli/split_config.py config.json --target-pages 8000
```
### 2. **Use Parallel Scraping**
```bash
# Serial (slow - 40 hours)
for config in configs/godot-*.json; do
python3 cli/doc_scraper.py --config $config
done
# Parallel (fast - 8 hours) ⭐
for config in configs/godot-*.json; do
python3 cli/doc_scraper.py --config $config &
done
wait
```
### 3. **Test Before Full Scrape**
```bash
# Test with limited pages first
nano configs/godot-2d.json
# Set: "max_pages": 50
python3 cli/doc_scraper.py --config configs/godot-2d.json
# If output looks good, increase to full
```
### 4. **Use Checkpoints for Long Scrapes**
```bash
# Enable checkpoints in config
{
"checkpoint": {
"enabled": true,
"interval": 1000
}
}
# If scrape fails, resume
python3 cli/doc_scraper.py --config config.json --resume
```
---
## Examples
### Example 1: AWS Documentation (Hypothetical 50K Pages)
```bash
# 1. Split by AWS services
python3 cli/split_config.py configs/aws.json --strategy router --target-pages 5000
# Creates ~10 skills:
# - aws (router)
# - aws-compute (EC2, Lambda)
# - aws-storage (S3, EBS)
# - aws-database (RDS, DynamoDB)
# - etc.
# 2. Scrape in parallel (overnight)
# 3. Upload all skills to Claude
# 4. User asks "How do I create an S3 bucket?"
# 5. Router activates aws-storage skill
# 6. Focused, accurate answer!
```
### Example 2: Microsoft Docs (100K+ Pages)
```bash
# Too large even with splitting - use selective categories
# Only scrape key topics
python3 cli/split_config.py configs/microsoft.json --strategy category
# Edit configs to include only:
# - microsoft-azure (Azure docs only)
# - microsoft-dotnet (.NET docs only)
# - microsoft-typescript (TS docs only)
# Skip less relevant sections
```
---
## Troubleshooting
### Issue: "Splitting creates too many skills"
**Solution:** Increase target size or combine categories
```bash
# Instead of 5K per skill, use 8K
python3 cli/split_config.py config.json --target-pages 8000
# Or manually combine categories in config
```
### Issue: "Router not routing correctly"
**Solution:** Check routing keywords in router SKILL.md
```bash
# Review router
cat output/godot/SKILL.md
# Update keywords if needed
nano output/godot/SKILL.md
```
### Issue: "Parallel scraping fails"
**Solution:** Reduce parallelism or check rate limits
```bash
# Scrape 2-3 at a time instead of all
python3 cli/doc_scraper.py --config config1.json &
python3 cli/doc_scraper.py --config config2.json &
wait
python3 cli/doc_scraper.py --config config3.json &
python3 cli/doc_scraper.py --config config4.json &
wait
```
---
## Summary
**For 40K+ Page Documentation:**
1. ✅ **Estimate first**: `python3 cli/estimate_pages.py config.json`
2. ✅ **Split with router**: `python3 cli/split_config.py config.json --strategy router`
3. ✅ **Scrape in parallel**: Multiple terminals or background jobs
4. ✅ **Generate router**: `python3 cli/generate_router.py configs/*-*.json`
5. ✅ **Package all**: `python3 cli/package_multi.py output/*/`
6. ✅ **Upload to Claude**: All .zip files
**Result:** Intelligent, fast, focused skills that work seamlessly together!
---
**Questions? See:**
- [Main README](../README.md)
- [MCP Setup Guide](MCP_SETUP.md)
- [Enhancement Guide](ENHANCEMENT.md)

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# llms.txt Support
## Overview
Skill_Seekers now automatically detects and uses llms.txt files when available, providing 10x faster documentation ingestion.
## What is llms.txt?
The llms.txt convention is a growing standard where documentation sites provide pre-formatted, LLM-ready markdown files:
- `llms-full.txt` - Complete documentation
- `llms.txt` - Standard balanced version
- `llms-small.txt` - Quick reference
## How It Works
1. Before HTML scraping, Skill_Seekers checks for llms.txt files
2. If found, downloads and parses the markdown
3. If not found, falls back to HTML scraping
4. Zero config changes needed
## Configuration
### Automatic Detection (Recommended)
No config changes needed. Just run normally:
```bash
python3 cli/doc_scraper.py --config configs/hono.json
```
### Explicit URL
Optionally specify llms.txt URL:
```json
{
"name": "hono",
"llms_txt_url": "https://hono.dev/llms-full.txt",
"base_url": "https://hono.dev/docs"
}
```
## Performance Comparison
| Method | Time | Requests |
|--------|------|----------|
| HTML Scraping (20 pages) | 20-60s | 20+ |
| llms.txt | < 5s | 1 |
## Supported Sites
Sites known to provide llms.txt:
- Hono: https://hono.dev/llms-full.txt
- (More to be discovered)
## Fallback Behavior
If llms.txt download or parsing fails, automatically falls back to HTML scraping with no user intervention required.

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# Skill Architecture Guide: Layering and Splitting
Complete guide for architecting complex multi-skill systems using the router/dispatcher pattern.
---
## Table of Contents
- [Overview](#overview)
- [When to Split Skills](#when-to-split-skills)
- [The Router Pattern](#the-router-pattern)
- [Manual Skill Architecture](#manual-skill-architecture)
- [Best Practices](#best-practices)
- [Complete Examples](#complete-examples)
- [Implementation Guide](#implementation-guide)
- [Troubleshooting](#troubleshooting)
---
## Overview
### The 500-Line Guideline
Claude recommends keeping skill files under **500 lines** for optimal performance. This guideline exists because:
- ✅ **Better parsing** - AI can more effectively understand focused content
- ✅ **Context efficiency** - Only relevant information loaded per task
- ✅ **Maintainability** - Easier to debug, update, and manage
- ✅ **Single responsibility** - Each skill does one thing well
### The Problem with Monolithic Skills
As applications grow complex, developers often create skills that:
- ❌ **Exceed 500 lines** - Too much information for effective parsing
- ❌ **Mix concerns** - Handle multiple unrelated responsibilities
- ❌ **Waste context** - Load entire file even when only small portion is relevant
- ❌ **Hard to maintain** - Changes require careful navigation of large file
### The Solution: Skill Layering
**Skill layering** involves:
1. **Splitting** - Breaking large skill into focused sub-skills
2. **Routing** - Creating master skill that directs queries to appropriate sub-skill
3. **Loading** - Only activating relevant sub-skills per task
**Result:** Build sophisticated applications while maintaining 500-line guideline per skill.
---
## When to Split Skills
### Decision Matrix
| Skill Size | Complexity | Recommendation |
|-----------|-----------|----------------|
| < 500 lines | Single concern | ✅ **Keep monolithic** |
| 500-1000 lines | Related concerns | ⚠️ **Consider splitting** |
| 1000+ lines | Multiple concerns | ❌ **Must split** |
### Split Indicators
**You should split when:**
- ✅ Skill exceeds 500 lines
- ✅ Multiple distinct responsibilities (CRUD, workflows, etc.)
- ✅ Different team members maintain different sections
- ✅ Only portions are relevant to specific tasks
- ✅ Context window frequently exceeded
**You can keep monolithic when:**
- ✅ Under 500 lines
- ✅ Single, cohesive responsibility
- ✅ All content frequently relevant together
- ✅ Simple, focused use case
---
## The Router Pattern
### What is a Router Skill?
A **router skill** (also called **dispatcher** or **hub** skill) is a lightweight master skill that:
1. **Analyzes** the user's query
2. **Identifies** which sub-skill(s) are relevant
3. **Directs** Claude to activate appropriate sub-skill(s)
4. **Coordinates** responses from multiple sub-skills if needed
### How It Works
```
User Query: "How do I book a flight to Paris?"
↓
Router Skill: Analyzes keywords → "flight", "book"
↓
Activates: flight_booking sub-skill
↓
Response: Flight booking guidance (only this skill loaded)
```
### Router Skill Structure
```markdown
# Travel Planner (Router)
## When to Use This Skill
Use for travel planning, booking, and itinerary management.
This is a router skill that directs your questions to specialized sub-skills.
## Sub-Skills Available
### flight_booking
For booking flights, searching airlines, comparing prices, seat selection.
**Keywords:** flight, airline, booking, ticket, departure, arrival
### hotel_reservation
For hotel search, room booking, amenities, check-in/check-out.
**Keywords:** hotel, accommodation, room, reservation, stay
### itinerary_generation
For creating travel plans, scheduling activities, route optimization.
**Keywords:** itinerary, schedule, plan, activities, route
## Routing Logic
Based on your question keywords:
- Flight-related → Activate `flight_booking`
- Hotel-related → Activate `hotel_reservation`
- Planning-related → Activate `itinerary_generation`
- Multiple topics → Activate relevant combination
## Usage Examples
**"Find me a flight to Paris"** → flight_booking
**"Book hotel in Tokyo"** → hotel_reservation
**"Create 5-day Rome itinerary"** → itinerary_generation
**"Plan Paris trip with flights and hotel"** → flight_booking + hotel_reservation + itinerary_generation
```
---
## Manual Skill Architecture
### Example 1: E-Commerce Platform
**Problem:** E-commerce skill is 2000+ lines covering catalog, cart, checkout, orders, and admin.
**Solution:** Split into focused sub-skills with router.
#### Sub-Skills
**1. `ecommerce.md` (Router - 150 lines)**
```markdown
# E-Commerce Platform (Router)
## Sub-Skills
- product_catalog - Browse, search, filter products
- shopping_cart - Add/remove items, quantities
- checkout_payment - Process orders, payments
- order_management - Track orders, returns
- admin_tools - Inventory, analytics
## Routing
product/catalog/search → product_catalog
cart/basket/add/remove → shopping_cart
checkout/payment/billing → checkout_payment
order/track/return → order_management
admin/inventory/analytics → admin_tools
```
**2. `product_catalog.md` (350 lines)**
```markdown
# Product Catalog
## When to Use
Product browsing, searching, filtering, recommendations.
## Quick Reference
- Search products: `search(query, filters)`
- Get details: `getProduct(id)`
- Filter: `filter(category, price, brand)`
...
```
**3. `shopping_cart.md` (280 lines)**
```markdown
# Shopping Cart
## When to Use
Managing cart items, quantities, totals.
## Quick Reference
- Add item: `cart.add(productId, quantity)`
- Update quantity: `cart.update(itemId, quantity)`
...
```
**Result:**
- Router: 150 lines ✅
- Each sub-skill: 200-400 lines ✅
- Total functionality: Unchanged
- Context efficiency: 5x improvement
---
### Example 2: Code Assistant
**Problem:** Code assistant handles debugging, refactoring, documentation, testing - 1800+ lines.
**Solution:** Specialized sub-skills with smart routing.
#### Architecture
```
code_assistant.md (Router - 200 lines)
├── debugging.md (450 lines)
├── refactoring.md (380 lines)
├── documentation.md (320 lines)
└── testing.md (400 lines)
```
#### Router Logic
```markdown
# Code Assistant (Router)
## Routing Keywords
### debugging
error, bug, exception, crash, fix, troubleshoot, debug
### refactoring
refactor, clean, optimize, simplify, restructure, improve
### documentation
docs, comment, docstring, readme, api, explain
### testing
test, unit, integration, coverage, assert, mock
```
---
### Example 3: Data Pipeline
**Problem:** ETL pipeline skill covers extraction, transformation, loading, validation, monitoring.
**Solution:** Pipeline stages as sub-skills.
```
data_pipeline.md (Router)
├── data_extraction.md - Source connectors, API calls
├── data_transformation.md - Cleaning, mapping, enrichment
├── data_loading.md - Database writes, file exports
├── data_validation.md - Quality checks, error handling
└── pipeline_monitoring.md - Logging, alerts, metrics
```
---
## Best Practices
### 1. Single Responsibility Principle
**Each sub-skill should have ONE clear purpose.**
❌ **Bad:** `user_management.md` handles auth, profiles, permissions, notifications
✅ **Good:**
- `user_authentication.md` - Login, logout, sessions
- `user_profiles.md` - Profile CRUD
- `user_permissions.md` - Roles, access control
- `user_notifications.md` - Email, push, alerts
### 2. Clear Routing Keywords
**Make routing keywords explicit and unambiguous.**
❌ **Bad:** Vague keywords like "data", "user", "process"
✅ **Good:** Specific keywords like "login", "authenticate", "extract", "transform"
### 3. Minimize Router Complexity
**Keep router lightweight - just routing logic.**
❌ **Bad:** Router contains actual implementation code
✅ **Good:** Router only contains:
- Sub-skill descriptions
- Routing keywords
- Usage examples
- No implementation details
### 4. Logical Grouping
**Group by responsibility, not by code structure.**
❌ **Bad:** Split by file type (controllers, models, views)
✅ **Good:** Split by feature (user_auth, product_catalog, order_processing)
### 5. Avoid Over-Splitting
**Don't create sub-skills for trivial distinctions.**
❌ **Bad:** Separate skills for "add_user" and "update_user"
✅ **Good:** Single "user_management" skill covering all CRUD
### 6. Document Dependencies
**Explicitly state when sub-skills work together.**
```markdown
## Multi-Skill Operations
**Place order:** Requires coordination between:
1. product_catalog - Validate product availability
2. shopping_cart - Get cart contents
3. checkout_payment - Process payment
4. order_management - Create order record
```
### 7. Maintain Consistent Structure
**Use same SKILL.md structure across all sub-skills.**
Standard sections:
```markdown
# Skill Name
## When to Use This Skill
[Clear description]
## Quick Reference
[Common operations]
## Key Concepts
[Domain terminology]
## Working with This Skill
[Usage guidance]
## Reference Files
[Documentation organization]
```
---
## Complete Examples
### Travel Planner (Full Implementation)
#### Directory Structure
```
skills/
├── travel_planner.md (Router - 180 lines)
├── flight_booking.md (420 lines)
├── hotel_reservation.md (380 lines)
├── itinerary_generation.md (450 lines)
├── travel_insurance.md (290 lines)
└── budget_tracking.md (340 lines)
```
#### travel_planner.md (Router)
```markdown
---
name: travel_planner
description: Travel planning, booking, and itinerary management router
---
# Travel Planner (Router)
## When to Use This Skill
Use for all travel-related planning, bookings, and itinerary management.
This router skill analyzes your travel needs and activates specialized sub-skills.
## Available Sub-Skills
### flight_booking
**Purpose:** Flight search, booking, seat selection, airline comparisons
**Keywords:** flight, airline, plane, ticket, departure, arrival, airport, booking
**Use for:** Finding and booking flights, comparing prices, selecting seats
### hotel_reservation
**Purpose:** Hotel search, room booking, amenities, check-in/out
**Keywords:** hotel, accommodation, room, lodging, reservation, stay, check-in
**Use for:** Finding hotels, booking rooms, checking amenities
### itinerary_generation
**Purpose:** Travel planning, scheduling, route optimization
**Keywords:** itinerary, schedule, plan, route, activities, sightseeing
**Use for:** Creating day-by-day plans, organizing activities
### travel_insurance
**Purpose:** Travel insurance options, coverage, claims
**Keywords:** insurance, coverage, protection, medical, cancellation, claim
**Use for:** Insurance recommendations, comparing policies
### budget_tracking
**Purpose:** Travel budget planning, expense tracking
**Keywords:** budget, cost, expense, price, spending, money
**Use for:** Estimating costs, tracking expenses
## Routing Logic
The router analyzes your question and activates relevant skills:
| Query Pattern | Activated Skills |
|--------------|------------------|
| "Find flights to [destination]" | flight_booking |
| "Book hotel in [city]" | hotel_reservation |
| "Plan [duration] trip to [destination]" | itinerary_generation |
| "Need travel insurance" | travel_insurance |
| "How much will trip cost?" | budget_tracking |
| "Plan complete Paris vacation" | ALL (coordinated) |
## Multi-Skill Coordination
Some requests require multiple skills working together:
### Complete Trip Planning
1. **budget_tracking** - Set budget constraints
2. **flight_booking** - Find flights within budget
3. **hotel_reservation** - Book accommodation
4. **itinerary_generation** - Create daily schedule
5. **travel_insurance** - Recommend coverage
### Booking Modification
1. **flight_booking** - Check flight change fees
2. **hotel_reservation** - Verify cancellation policy
3. **budget_tracking** - Calculate cost impact
## Usage Examples
**Simple (single skill):**
- "Find direct flights to Tokyo" → flight_booking
- "5-star hotels in Paris under $200/night" → hotel_reservation
- "Create 3-day Rome itinerary" → itinerary_generation
**Complex (multiple skills):**
- "Plan week-long Paris trip for 2, budget $3000" → budget_tracking → flight_booking → hotel_reservation → itinerary_generation
- "Cheapest way to visit London next month" → budget_tracking + flight_booking + hotel_reservation
## Quick Reference
### Flight Booking
- Search flights by route, dates, airline
- Compare prices across carriers
- Select seats, meals, baggage
### Hotel Reservation
- Filter by price, rating, amenities
- Check availability, reviews
- Book rooms with cancellation policy
### Itinerary Planning
- Generate day-by-day schedules
- Optimize routes between attractions
- Balance activities with free time
### Travel Insurance
- Compare coverage options
- Understand medical, cancellation policies
- File claims if needed
### Budget Tracking
- Estimate total trip cost
- Track expenses vs budget
- Optimize spending
## Working with This Skill
**Beginners:** Start with single-purpose queries ("Find flights to Paris")
**Intermediate:** Combine 2-3 aspects ("Find flights and hotel in Tokyo")
**Advanced:** Request complete trip planning with multiple constraints
The router handles complexity automatically - just ask naturally!
```
#### flight_booking.md (Sub-Skill)
```markdown
---
name: flight_booking
description: Flight search, booking, and airline comparisons
---
# Flight Booking
## When to Use This Skill
Use when searching for flights, comparing airlines, booking tickets, or managing flight reservations.
## Quick Reference
### Searching Flights
**Search by route:**
```
Find flights from [origin] to [destination]
Examples:
- "Flights from NYC to London"
- "JFK to Heathrow direct flights"
```
**Search with dates:**
```
Flights from [origin] to [destination] on [date]
Examples:
- "Flights from LAX to Paris on June 15"
- "Return flights NYC to Tokyo, depart May 1, return May 15"
```
**Filter by preferences:**
```
[direct/nonstop] flights from [origin] to [destination]
[airline] flights to [destination]
Cheapest/fastest flights to [destination]
Examples:
- "Direct flights from Boston to Dublin"
- "Delta flights to Seattle"
- "Cheapest flights to Miami next month"
```
### Booking Process
1. **Search** - Find flights matching criteria
2. **Compare** - Review prices, times, airlines
3. **Select** - Choose specific flight
4. **Customize** - Add seat, baggage, meals
5. **Confirm** - Book and receive confirmation
### Price Comparison
Compare across:
- Airlines (Delta, United, American, etc.)
- Booking sites (Expedia, Kayak, etc.)
- Direct vs connections
- Dates (flexible date search)
- Classes (Economy, Business, First)
### Seat Selection
Options:
- Window, aisle, middle
- Extra legroom
- Bulkhead, exit row
- Section preferences (front, middle, rear)
## Key Concepts
### Flight Types
- **Direct** - No stops, same plane
- **Nonstop** - Same as direct
- **Connecting** - One or more stops, change planes
- **Multi-city** - Different return city
- **Open-jaw** - Different origin/destination cities
### Fare Classes
- **Basic Economy** - Cheapest, most restrictions
- **Economy** - Standard coach
- **Premium Economy** - Extra space, amenities
- **Business** - Lie-flat seats, premium service
- **First Class** - Maximum luxury
### Booking Terms
- **Fare rules** - Cancellation, change policies
- **Baggage allowance** - Checked and carry-on limits
- **Layover** - Time between connecting flights
- **Codeshare** - Same flight, different airline numbers
## Working with This Skill
### For Beginners
Start with simple searches:
1. State origin and destination
2. Provide travel dates
3. Mention any preferences (direct, airline)
The skill will guide you through options step-by-step.
### For Intermediate Users
Provide more details upfront:
- Preferred airlines or alliances
- Class of service
- Maximum connections
- Price range
- Specific times of day
### For Advanced Users
Complex multi-city routing:
- Multiple destinations
- Open-jaw bookings
- Award ticket searches
- Specific aircraft types
- Detailed fare class codes
## Reference Files
All flight booking documentation is in `references/`:
- `flight_search.md` - Search strategies, filters
- `airline_policies.md` - Carrier-specific rules
- `booking_process.md` - Step-by-step booking
- `seat_selection.md` - Seating guides
- `fare_classes.md` - Ticket types, restrictions
- `baggage_rules.md` - Luggage policies
- `frequent_flyer.md` - Loyalty programs
```
---
## Implementation Guide
### Step 1: Identify Split Points
**Analyze your monolithic skill:**
1. List all major responsibilities
2. Group related functionality
3. Identify natural boundaries
4. Count lines per group
**Example:**
```
user_management.md (1800 lines)
├── Authentication (450 lines) ← Sub-skill
├── Profile CRUD (380 lines) ← Sub-skill
├── Permissions (320 lines) ← Sub-skill
├── Notifications (280 lines) ← Sub-skill
└── Activity logs (370 lines) ← Sub-skill
```
### Step 2: Extract Sub-Skills
**For each identified group:**
1. Create new `{subskill}.md` file
2. Copy relevant content
3. Add proper frontmatter
4. Ensure 200-500 line range
5. Remove dependencies on other groups
**Template:**
```markdown
---
name: {subskill_name}
description: {clear, specific description}
---
# {Subskill Title}
## When to Use This Skill
[Specific use cases]
## Quick Reference
[Common operations]
## Key Concepts
[Domain terms]
## Working with This Skill
[Usage guidance by skill level]
## Reference Files
[Documentation structure]
```
### Step 3: Create Router
**Router skill template:**
```markdown
---
name: {router_name}
description: {overall system description}
---
# {System Name} (Router)
## When to Use This Skill
{High-level description}
This is a router skill that directs queries to specialized sub-skills.
## Available Sub-Skills
### {subskill_1}
**Purpose:** {What it does}
**Keywords:** {routing, keywords, here}
**Use for:** {When to use}
### {subskill_2}
[Same pattern]
## Routing Logic
Based on query keywords:
- {keyword_group_1} → {subskill_1}
- {keyword_group_2} → {subskill_2}
- Multiple matches → Coordinate relevant skills
## Multi-Skill Operations
{Describe when multiple skills work together}
## Usage Examples
**Single skill:**
- "{example_query_1}" → {subskill_1}
- "{example_query_2}" → {subskill_2}
**Multiple skills:**
- "{complex_query}" → {subskill_1} + {subskill_2}
```
### Step 4: Define Routing Keywords
**Best practices:**
- Use 5-10 keywords per sub-skill
- Include synonyms and variations
- Be specific, not generic
- Test with real queries
**Example:**
```markdown
### user_authentication
**Keywords:**
- Primary: login, logout, signin, signout, authenticate
- Secondary: password, credentials, session, token
- Variations: log-in, log-out, sign-in, sign-out
```
### Step 5: Test Routing
**Create test queries:**
```markdown
## Test Routing (Internal Notes)
Should route to user_authentication:
✓ "How do I log in?"
✓ "User login process"
✓ "Authentication failed"
Should route to user_profiles:
✓ "Update user profile"
✓ "Change profile picture"
Should route to multiple skills:
✓ "Create account and set up profile" → user_authentication + user_profiles
```
### Step 6: Update References
**In each sub-skill:**
1. Link to router for context
2. Reference related sub-skills
3. Update navigation paths
```markdown
## Related Skills
This skill is part of the {System Name} suite:
- **Router:** {router_name} - Main entry point
- **Related:** {related_subskill} - For {use case}
```
---
## Troubleshooting
### Router Not Activating Correct Sub-Skill
**Problem:** Query routed to wrong sub-skill
**Solutions:**
1. Add missing keywords to router
2. Use more specific routing keywords
3. Add disambiguation examples
4. Test with variations of query phrasing
### Sub-Skills Too Granular
**Problem:** Too many tiny sub-skills (< 200 lines each)
**Solution:**
- Merge related sub-skills
- Use sections within single skill instead
- Aim for 300-500 lines per sub-skill
### Sub-Skills Too Large
**Problem:** Sub-skills still exceeding 500 lines
**Solution:**
- Further split into more granular concerns
- Consider 3-tier architecture (router → category routers → specific skills)
- Move reference documentation to separate files
### Cross-Skill Dependencies
**Problem:** Sub-skills frequently need each other
**Solutions:**
1. Create shared reference documentation
2. Use router to coordinate multi-skill operations
3. Reconsider split boundaries (may be too granular)
### Router Logic Too Complex
**Problem:** Router has extensive conditional logic
**Solution:**
- Simplify to keyword-based routing
- Create intermediate routers (2-tier)
- Document explicit routing table
**Example 2-tier:**
```
main_router.md
├── user_features_router.md
│ ├── authentication.md
│ ├── profiles.md
│ └── permissions.md
└── admin_features_router.md
├── analytics.md
├── reporting.md
└── configuration.md
```
---
## Adapting Auto-Generated Routers
Skill Seeker auto-generates router skills for large documentation using `generate_router.py`.
**You can adapt this for manual skills:**
### 1. Study the Pattern
```bash
# Generate a router from documentation configs
python3 cli/split_config.py configs/godot.json --strategy router
python3 cli/generate_router.py configs/godot-*.json
# Examine generated router SKILL.md
cat output/godot/SKILL.md
```
### 2. Extract the Template
The generated router has:
- Sub-skill descriptions
- Keyword-based routing
- Usage examples
- Multi-skill coordination notes
### 3. Customize for Your Use Case
Replace documentation-specific content with your application logic:
```markdown
# Generated (documentation):
### godot-scripting
GDScript programming, signals, nodes
Keywords: gdscript, code, script, programming
# Customized (your app):
### order_processing
Process customer orders, payments, fulfillment
Keywords: order, purchase, payment, checkout, fulfillment
```
---
## Summary
### Key Takeaways
1. ✅ **500-line guideline** is important for optimal Claude performance
2. ✅ **Router pattern** enables sophisticated applications while staying within limits
3. ✅ **Single responsibility** - Each sub-skill does one thing well
4. ✅ **Context efficiency** - Only load what's needed per task
5. ✅ **Proven approach** - Already used successfully for large documentation
### When to Apply This Pattern
**Do use skill layering when:**
- Skill exceeds 500 lines
- Multiple distinct responsibilities
- Different parts rarely used together
- Team wants modular maintenance
**Don't use skill layering when:**
- Skill under 500 lines
- Single, cohesive responsibility
- All content frequently relevant together
- Simplicity is priority
### Next Steps
1. Review your existing skills for split candidates
2. Create router + sub-skills following templates above
3. Test routing with real queries
4. Refine keywords based on usage
5. Iterate and improve
---
## Additional Resources
- **Auto-Generated Routers:** See `docs/LARGE_DOCUMENTATION.md` for automated splitting of scraped documentation
- **Router Implementation:** See `src/skill_seekers/cli/generate_router.py` for reference implementation
- **Examples:** See configs in `configs/` for real-world router patterns
**Questions or feedback?** Open an issue on GitHub!

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# Core Concepts
> **Skill Seekers v3.1.0**
> **Understanding how Skill Seekers works**
---
## Overview
Skill Seekers transforms documentation, code, and content into **structured knowledge assets** that AI systems can use effectively.
```
Raw Content → Skill Seekers → AI-Ready Skill
↓ ↓
(docs, code, (SKILL.md +
PDFs, repos) references)
```
---
## What is a Skill?
A **skill** is a structured knowledge package containing:
```
output/my-skill/
├── SKILL.md # Main file (400+ lines typically)
├── references/ # Categorized content
│ ├── index.md # Navigation
│ ├── getting_started.md
│ ├── api_reference.md
│ └── ...
├── .skill-seekers/ # Metadata
└── assets/ # Images, downloads
```
### SKILL.md Structure
```markdown
# My Framework Skill
## Overview
Brief description of the framework...
## Quick Reference
Common commands and patterns...
## Categories
- [Getting Started](#getting-started)
- [API Reference](#api-reference)
- [Guides](#guides)
## Getting Started
### Installation
```bash
npm install my-framework
```
### First Steps
...
## API Reference
...
```
### Why This Structure?
| Element | Purpose |
|---------|---------|
| **Overview** | Quick context for AI |
| **Quick Reference** | Common patterns at a glance |
| **Categories** | Organized deep dives |
| **Code Examples** | Copy-paste ready snippets |
---
## Source Types
Skill Seekers works with four types of sources:
### 1. Documentation Websites
**What:** Web-based documentation (ReadTheDocs, Docusaurus, GitBook, etc.)
**Examples:**
- React docs (react.dev)
- Django docs (docs.djangoproject.com)
- Kubernetes docs (kubernetes.io)
**Command:**
```bash
skill-seekers create https://docs.example.com/
```
**Best for:**
- Framework documentation
- API references
- Tutorials and guides
---
### 2. GitHub Repositories
**What:** Source code repositories with analysis
**Extracts:**
- Code structure and APIs
- README and documentation
- Issues and discussions
- Releases and changelog
**Command:**
```bash
skill-seekers create owner/repo
skill-seekers github --repo owner/repo
```
**Best for:**
- Understanding codebases
- API implementation details
- Contributing guidelines
---
### 3. PDF Documents
**What:** PDF manuals, papers, documentation
**Handles:**
- Text extraction
- OCR for scanned PDFs
- Table extraction
- Image extraction
**Command:**
```bash
skill-seekers create manual.pdf
skill-seekers pdf --pdf manual.pdf
```
**Best for:**
- Product manuals
- Research papers
- Legacy documentation
---
### 4. Local Codebases
**What:** Your local projects and code
**Analyzes:**
- Source code structure
- Comments and docstrings
- Test files
- Configuration patterns
**Command:**
```bash
skill-seekers create ./my-project
skill-seekers analyze --directory ./my-project
```
**Best for:**
- Your own projects
- Internal tools
- Code review preparation
---
## The Workflow
### Phase 1: Ingest
```
┌─────────────┐ ┌──────────────┐
│ Source │────▶│ Scraper │
│ (URL/repo/ │ │ (extracts │
│ PDF/local) │ │ content) │
└─────────────┘ └──────────────┘
```
- Detects source type automatically
- Crawls and downloads content
- Respects rate limits
- Extracts text, code, metadata
---
### Phase 2: Structure
```
┌──────────────┐ ┌──────────────┐
│ Raw Data │────▶│ Builder │
│ (pages/files/│ │ (organizes │
│ commits) │ │ by category)│
└──────────────┘ └──────────────┘
```
- Categorizes content by topic
- Extracts code examples
- Builds navigation structure
- Creates reference files
---
### Phase 3: Enhance (Optional)
```
┌──────────────┐ ┌──────────────┐
│ SKILL.md │────▶│ Enhancer │
│ (basic) │ │ (AI improves │
│ │ │ quality) │
└──────────────┘ └──────────────┘
```
- AI reviews and improves content
- Adds examples and patterns
- Fixes formatting
- Enhances navigation
**Modes:**
- **API:** Uses Claude API (fast, costs ~$0.10-0.30)
- **LOCAL:** Uses Claude Code (free, requires Claude Code Max)
---
### Phase 4: Package
```
┌──────────────┐ ┌──────────────┐
│ Skill Dir │────▶│ Packager │
│ (structured │ │ (creates │
│ content) │ │ platform │
│ │ │ format) │
└──────────────┘ └──────────────┘
```
- Formats for target platform
- Creates archives (ZIP, tar.gz)
- Optimizes for size
- Validates structure
---
### Phase 5: Upload (Optional)
```
┌──────────────┐ ┌──────────────┐
│ Package │────▶│ Platform │
│ (.zip/.tar) │ │ (Claude/ │
│ │ │ Gemini/etc) │
└──────────────┘ └──────────────┘
```
- Uploads to target platform
- Configures settings
- Returns skill ID/URL
---
## Enhancement Levels
Control how much AI enhancement is applied:
| Level | What Happens | Use Case |
|-------|--------------|----------|
| **0** | No enhancement | Fast scraping, manual review |
| **1** | SKILL.md only | Basic improvement |
| **2** | + architecture/config | **Recommended** - good balance |
| **3** | Full enhancement | Maximum quality, takes longer |
**Default:** Level 2
```bash
# Skip enhancement (fastest)
skill-seekers create <source> --enhance-level 0
# Full enhancement (best quality)
skill-seekers create <source> --enhance-level 3
```
---
## Target Platforms
Package skills for different AI systems:
| Platform | Format | Use |
|----------|--------|-----|
| **Claude AI** | ZIP + YAML | Claude Code, Claude API |
| **Gemini** | tar.gz | Google Gemini |
| **OpenAI** | ZIP + Vector | ChatGPT, Assistants API |
| **LangChain** | Documents | RAG pipelines |
| **LlamaIndex** | TextNodes | Query engines |
| **ChromaDB** | Collection | Vector search |
| **Weaviate** | Objects | Vector database |
| **Cursor** | .cursorrules | IDE AI assistant |
| **Windsurf** | .windsurfrules | IDE AI assistant |
---
## Configuration
### Simple (Auto-Detect)
```bash
# Just provide the source
skill-seekers create https://docs.react.dev/
```
### Preset Configs
```bash
# Use predefined configuration
skill-seekers create --config react
```
**Available presets:** `react`, `vue`, `django`, `fastapi`, `godot`, etc.
### Custom Config
```bash
# Create custom config
cat > configs/my-docs.json << 'EOF'
{
"name": "my-docs",
"base_url": "https://docs.example.com/",
"max_pages": 200
}
EOF
skill-seekers create --config configs/my-docs.json
```
See [Config Format](../reference/CONFIG_FORMAT.md) for full specification.
---
## Multi-Source Skills
Combine multiple sources into one skill:
```bash
# Create unified config
cat > configs/my-project.json << 'EOF'
{
"name": "my-project",
"sources": [
{"type": "docs", "base_url": "https://docs.example.com/"},
{"type": "github", "repo": "owner/repo"},
{"type": "pdf", "pdf_path": "manual.pdf"}
]
}
EOF
# Run unified scraping
skill-seekers unified --config configs/my-project.json
```
**Benefits:**
- Single skill with complete context
- Automatic conflict detection
- Cross-referenced content
---
## Caching and Resumption
### How Caching Works
```
First scrape: Downloads all pages → saves to output/{name}_data/
Second scrape: Reuses cached data → fast rebuild
```
### Skip Scraping
```bash
# Use cached data, just rebuild
skill-seekers create --config react --skip-scrape
```
### Resume Interrupted Jobs
```bash
# List resumable jobs
skill-seekers resume --list
# Resume specific job
skill-seekers resume job-abc123
```
---
## Rate Limiting
Be respectful to servers:
```bash
# Default: 0.5 seconds between requests
skill-seekers create <source>
# Faster (for your own servers)
skill-seekers create <source> --rate-limit 0.1
# Slower (for rate-limited sites)
skill-seekers create <source> --rate-limit 2.0
```
**Why it matters:**
- Prevents being blocked
- Respects server resources
- Good citizenship
---
## Key Takeaways
1. **Skills are structured knowledge** - Not just raw text
2. **Auto-detection works** - Usually don't need custom configs
3. **Enhancement improves quality** - Level 2 is the sweet spot
4. **Package once, use everywhere** - Same skill, multiple platforms
5. **Cache saves time** - Rebuild without re-scraping
---
## Next Steps
- [Scraping Guide](02-scraping.md) - Deep dive into source options
- [Enhancement Guide](03-enhancement.md) - AI enhancement explained
- [Config Format](../reference/CONFIG_FORMAT.md) - Custom configurations

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# Scraping Guide
> **Skill Seekers v3.1.0**
> **Complete guide to all scraping options**
---
## Overview
Skill Seekers can extract knowledge from four types of sources:
| Source | Command | Best For |
|--------|---------|----------|
| **Documentation** | `create <url>` | Web docs, tutorials, API refs |
| **GitHub** | `create <repo>` | Source code, issues, releases |
| **PDF** | `create <file.pdf>` | Manuals, papers, reports |
| **Local** | `create <./path>` | Your projects, internal code |
---
## Documentation Scraping
### Basic Usage
```bash
# Auto-detect and scrape
skill-seekers create https://docs.react.dev/
# With custom name
skill-seekers create https://docs.react.dev/ --name react-docs
# With description
skill-seekers create https://docs.react.dev/ \
--description "React JavaScript library documentation"
```
### Using Preset Configs
```bash
# List available presets
skill-seekers estimate --all
# Use preset
skill-seekers create --config react
skill-seekers create --config django
skill-seekers create --config fastapi
```
**Available presets:** See `configs/` directory in repository.
### Custom Configuration
```bash
# Create config file
cat > configs/my-docs.json << 'EOF'
{
"name": "my-framework",
"base_url": "https://docs.example.com/",
"description": "My framework documentation",
"max_pages": 200,
"rate_limit": 0.5,
"selectors": {
"main_content": "article",
"title": "h1"
},
"url_patterns": {
"include": ["/docs/", "/api/"],
"exclude": ["/blog/", "/search"]
}
}
EOF
# Use config
skill-seekers create --config configs/my-docs.json
```
See [Config Format](../reference/CONFIG_FORMAT.md) for all options.
### Advanced Options
```bash
# Limit pages (for testing)
skill-seekers create <url> --max-pages 50
# Adjust rate limit
skill-seekers create <url> --rate-limit 1.0
# Parallel workers (faster)
skill-seekers create <url> --workers 5 --async
# Dry run (preview)
skill-seekers create <url> --dry-run
# Resume interrupted
skill-seekers create <url> --resume
# Fresh start (ignore cache)
skill-seekers create <url> --fresh
```
---
## GitHub Repository Scraping
### Basic Usage
```bash
# By repo name
skill-seekers create facebook/react
# With explicit flag
skill-seekers github --repo facebook/react
# With custom name
skill-seekers github --repo facebook/react --name react-source
```
### With GitHub Token
```bash
# Set token for higher rate limits
export GITHUB_TOKEN=ghp_...
# Use token
skill-seekers github --repo facebook/react
```
**Benefits of token:**
- 5000 requests/hour vs 60
- Access to private repos
- Higher GraphQL limits
### What Gets Extracted
| Data | Default | Flag to Disable |
|------|---------|-----------------|
| Source code | ✅ | `--scrape-only` |
| README | ✅ | - |
| Issues | ✅ | `--no-issues` |
| Releases | ✅ | `--no-releases` |
| Changelog | ✅ | `--no-changelog` |
### Control What to Fetch
```bash
# Skip issues (faster)
skill-seekers github --repo facebook/react --no-issues
# Limit issues
skill-seekers github --repo facebook/react --max-issues 50
# Scrape only (no build)
skill-seekers github --repo facebook/react --scrape-only
# Non-interactive (CI/CD)
skill-seekers github --repo facebook/react --non-interactive
```
---
## PDF Extraction
### Basic Usage
```bash
# Direct file
skill-seekers create manual.pdf --name product-manual
# With explicit command
skill-seekers pdf --pdf manual.pdf --name docs
```
### OCR for Scanned PDFs
```bash
# Enable OCR
skill-seekers pdf --pdf scanned.pdf --enable-ocr
```
**Requirements:**
```bash
pip install skill-seekers[pdf-ocr]
# Also requires: tesseract-ocr (system package)
```
### Password-Protected PDFs
```bash
# In config file
{
"name": "secure-docs",
"pdf_path": "protected.pdf",
"password": "secret123"
}
```
### Page Range
```bash
# Extract specific pages (via config)
{
"pdf_path": "manual.pdf",
"page_range": [1, 100]
}
```
---
## Local Codebase Analysis
### Basic Usage
```bash
# Current directory
skill-seekers create .
# Specific directory
skill-seekers create ./my-project
# With explicit command
skill-seekers analyze --directory ./my-project
```
### Analysis Presets
```bash
# Quick analysis (1-2 min)
skill-seekers analyze --directory ./my-project --preset quick
# Standard analysis (5-10 min) - default
skill-seekers analyze --directory ./my-project --preset standard
# Comprehensive (20-60 min)
skill-seekers analyze --directory ./my-project --preset comprehensive
```
### What Gets Analyzed
| Feature | Quick | Standard | Comprehensive |
|---------|-------|----------|---------------|
| Code structure | ✅ | ✅ | ✅ |
| API extraction | ✅ | ✅ | ✅ |
| Comments | - | ✅ | ✅ |
| Patterns | - | ✅ | ✅ |
| Test examples | - | - | ✅ |
| How-to guides | - | - | ✅ |
| Config patterns | - | - | ✅ |
### Language Filtering
```bash
# Specific languages
skill-seekers analyze --directory ./my-project \
--languages Python,JavaScript
# File patterns
skill-seekers analyze --directory ./my-project \
--file-patterns "*.py,*.js"
```
### Skip Features
```bash
# Skip heavy features
skill-seekers analyze --directory ./my-project \
--skip-dependency-graph \
--skip-patterns \
--skip-test-examples
```
---
## Common Scraping Patterns
### Pattern 1: Test First
```bash
# Dry run to preview
skill-seekers create <source> --dry-run
# Small test scrape
skill-seekers create <source> --max-pages 10
# Full scrape
skill-seekers create <source>
```
### Pattern 2: Iterative Development
```bash
# Scrape without enhancement (fast)
skill-seekers create <source> --enhance-level 0
# Review output
ls output/my-skill/
cat output/my-skill/SKILL.md
# Enhance later
skill-seekers enhance output/my-skill/
```
### Pattern 3: Parallel Processing
```bash
# Fast async scraping
skill-seekers create <url> --async --workers 5
# Even faster (be careful with rate limits)
skill-seekers create <url> --async --workers 10 --rate-limit 0.2
```
### Pattern 4: Resume Capability
```bash
# Start scraping
skill-seekers create <source>
# ...interrupted...
# Resume later
skill-seekers resume --list
skill-seekers resume <job-id>
```
---
## Troubleshooting Scraping
### "No content extracted"
**Problem:** Wrong CSS selectors
**Solution:**
```bash
# Find correct selectors
curl -s <url> | grep -i 'article\|main\|content'
# Update config
{
"selectors": {
"main_content": "div.content" // or "article", "main", etc.
}
}
```
### "Rate limit exceeded"
**Problem:** Too many requests
**Solution:**
```bash
# Slow down
skill-seekers create <url> --rate-limit 2.0
# Or use GitHub token for GitHub repos
export GITHUB_TOKEN=ghp_...
```
### "Too many pages"
**Problem:** Site is larger than expected
**Solution:**
```bash
# Estimate first
skill-seekers estimate configs/my-config.json
# Limit pages
skill-seekers create <url> --max-pages 100
# Adjust URL patterns
{
"url_patterns": {
"exclude": ["/blog/", "/archive/", "/search"]
}
}
```
### "Memory error"
**Problem:** Site too large for memory
**Solution:**
```bash
# Use streaming mode
skill-seekers create <url> --streaming
# Or smaller chunks
skill-seekers create <url> --chunk-size 500
```
---
## Performance Tips
| Tip | Command | Impact |
|-----|---------|--------|
| Use presets | `--config react` | Faster setup |
| Async mode | `--async --workers 5` | 3-5x faster |
| Skip enhancement | `--enhance-level 0` | Skip 60 sec |
| Use cache | `--skip-scrape` | Instant rebuild |
| Resume | `--resume` | Continue interrupted |
---
## Next Steps
- [Enhancement Guide](03-enhancement.md) - Improve skill quality
- [Packaging Guide](04-packaging.md) - Export to platforms
- [Config Format](../reference/CONFIG_FORMAT.md) - Advanced configuration

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# Enhancement Guide
> **Skill Seekers v3.1.0**
> **AI-powered quality improvement for skills**
---
## What is Enhancement?
Enhancement uses AI to improve the quality of generated SKILL.md files:
```
Basic SKILL.md ──▶ AI Enhancer ──▶ Enhanced SKILL.md
(100 lines) (60 sec) (400+ lines)
↓ ↓
Sparse Comprehensive
examples with patterns,
navigation, depth
```
---
## Enhancement Levels
Choose how much enhancement to apply:
| Level | What Happens | Time | Cost |
|-------|--------------|------|------|
| **0** | No enhancement | 0 sec | Free |
| **1** | SKILL.md only | ~30 sec | Low |
| **2** | + architecture/config | ~60 sec | Medium |
| **3** | Full enhancement | ~2 min | Higher |
**Default:** Level 2 (recommended balance)
---
## Enhancement Modes
### API Mode (Default if key available)
Uses Claude API for fast enhancement.
**Requirements:**
```bash
export ANTHROPIC_API_KEY=sk-ant-...
```
**Usage:**
```bash
# Auto-detects API mode
skill-seekers create <source>
# Explicit
skill-seekers enhance output/my-skill/ --agent api
```
**Pros:**
- Fast (~60 seconds)
- No local setup needed
**Cons:**
- Costs ~$0.10-0.30 per skill
- Requires API key
---
### LOCAL Mode (Default if no key)
Uses Claude Code (free with Max plan).
**Requirements:**
- Claude Code installed
- Claude Code Max subscription
**Usage:**
```bash
# Auto-detects LOCAL mode (no API key)
skill-seekers create <source>
# Explicit
skill-seekers enhance output/my-skill/ --agent local
```
**Pros:**
- Free (with Claude Code Max)
- Better quality (full context)
**Cons:**
- Requires Claude Code
- Slightly slower (~60-120 sec)
---
## How to Enhance
### During Creation
```bash
# Default enhancement (level 2)
skill-seekers create <source>
# No enhancement (fastest)
skill-seekers create <source> --enhance-level 0
# Maximum enhancement
skill-seekers create <source> --enhance-level 3
```
### After Creation
```bash
# Enhance existing skill
skill-seekers enhance output/my-skill/
# With specific agent
skill-seekers enhance output/my-skill/ --agent local
# With timeout
skill-seekers enhance output/my-skill/ --timeout 1200
```
### Background Mode
```bash
# Run in background
skill-seekers enhance output/my-skill/ --background
# Check status
skill-seekers enhance-status output/my-skill/
# Watch in real-time
skill-seekers enhance-status output/my-skill/ --watch
```
---
## Enhancement Workflows
Apply specialized AI analysis with preset workflows.
### Built-in Presets
| Preset | Stages | Focus |
|--------|--------|-------|
| `default` | 2 | General improvement |
| `minimal` | 1 | Light touch-up |
| `security-focus` | 4 | Security analysis |
| `architecture-comprehensive` | 7 | Deep architecture |
| `api-documentation` | 3 | API docs focus |
### Using Workflows
```bash
# Apply workflow
skill-seekers create <source> --enhance-workflow security-focus
# Chain multiple workflows
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
# List available
skill-seekers workflows list
# Show workflow content
skill-seekers workflows show security-focus
```
### Custom Workflows
Create your own YAML workflow:
```yaml
# my-workflow.yaml
name: my-custom
stages:
- name: overview
prompt: "Add comprehensive overview section"
- name: examples
prompt: "Add practical code examples"
```
```bash
# Add workflow
skill-seekers workflows add my-workflow.yaml
# Use it
skill-seekers create <source> --enhance-workflow my-custom
```
---
## What Enhancement Adds
### Level 1: SKILL.md Improvement
- Better structure and organization
- Improved descriptions
- Fixed formatting
- Added navigation
### Level 2: Architecture & Config (Default)
Everything in Level 1, plus:
- Architecture overview
- Configuration examples
- Pattern documentation
- Best practices
### Level 3: Full Enhancement
Everything in Level 2, plus:
- Deep code examples
- Common pitfalls
- Performance tips
- Integration guides
---
## Enhancement Workflow Details
### Security-Focus Workflow
4 stages:
1. **Security Overview** - Identify security features
2. **Vulnerability Analysis** - Common issues
3. **Best Practices** - Secure coding patterns
4. **Compliance** - Security standards
### Architecture-Comprehensive Workflow
7 stages:
1. **System Overview** - High-level architecture
2. **Component Analysis** - Key components
3. **Data Flow** - How data moves
4. **Integration Points** - External connections
5. **Scalability** - Performance considerations
6. **Deployment** - Infrastructure
7. **Maintenance** - Operational concerns
### API-Documentation Workflow
3 stages:
1. **Endpoint Catalog** - All API endpoints
2. **Request/Response** - Detailed examples
3. **Error Handling** - Common errors
---
## Monitoring Enhancement
### Check Status
```bash
# Current status
skill-seekers enhance-status output/my-skill/
# JSON output (for scripting)
skill-seekers enhance-status output/my-skill/ --json
# Watch mode
skill-seekers enhance-status output/my-skill/ --watch --interval 10
```
### Process Status Values
| Status | Meaning |
|--------|---------|
| `running` | Enhancement in progress |
| `completed` | Successfully finished |
| `failed` | Error occurred |
| `pending` | Waiting to start |
---
## When to Skip Enhancement
Skip enhancement when:
- **Testing:** Quick iteration during development
- **Large batches:** Process many skills, enhance best ones later
- **Custom processing:** You have your own enhancement pipeline
- **Time critical:** Need results immediately
```bash
# Skip during creation
skill-seekers create <source> --enhance-level 0
# Enhance best ones later
skill-seekers enhance output/best-skill/
```
---
## Enhancement Best Practices
### 1. Use Level 2 for Most Cases
```bash
# Default is usually perfect
skill-seekers create <source>
```
### 2. Apply Domain-Specific Workflows
```bash
# Security review
skill-seekers create <source> --enhance-workflow security-focus
# API focus
skill-seekers create <source> --enhance-workflow api-documentation
```
### 3. Chain for Comprehensive Analysis
```bash
# Multiple perspectives
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow architecture-comprehensive
```
### 4. Use LOCAL Mode for Quality
```bash
# Better results with Claude Code
export ANTHROPIC_API_KEY="" # Unset to force LOCAL
skill-seekers enhance output/my-skill/
```
### 5. Enhance Iteratively
```bash
# Create without enhancement
skill-seekers create <source> --enhance-level 0
# Review and enhance
skill-seekers enhance output/my-skill/
# Review again...
skill-seekers enhance output/my-skill/ # Run again for more polish
```
---
## Troubleshooting
### "Enhancement failed: No API key"
**Solution:**
```bash
# Set API key
export ANTHROPIC_API_KEY=sk-ant-...
# Or use LOCAL mode
skill-seekers enhance output/my-skill/ --agent local
```
### "Enhancement timeout"
**Solution:**
```bash
# Increase timeout
skill-seekers enhance output/my-skill/ --timeout 1200
# Or use background mode
skill-seekers enhance output/my-skill/ --background
```
### "Claude Code not found" (LOCAL mode)
**Solution:**
```bash
# Install Claude Code
# See: https://claude.ai/code
# Or switch to API mode
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers enhance output/my-skill/ --agent api
```
### "Workflow not found"
**Solution:**
```bash
# List available workflows
skill-seekers workflows list
# Check spelling
skill-seekers create <source> --enhance-workflow security-focus
```
---
## Cost Estimation
### API Mode Costs
| Skill Size | Level 1 | Level 2 | Level 3 |
|------------|---------|---------|---------|
| Small (< 50 pages) | $0.02 | $0.05 | $0.10 |
| Medium (50-200 pages) | $0.05 | $0.10 | $0.20 |
| Large (200-500 pages) | $0.10 | $0.20 | $0.40 |
*Costs are approximate and depend on actual content.*
### LOCAL Mode Costs
Free with Claude Code Max subscription (~$20/month).
---
## Summary
| Approach | When to Use |
|----------|-------------|
| **Level 0** | Testing, batch processing |
| **Level 2 (default)** | Most use cases |
| **Level 3** | Maximum quality needed |
| **API Mode** | Speed, no Claude Code |
| **LOCAL Mode** | Quality, free with Max |
| **Workflows** | Domain-specific needs |
---
## Next Steps
- [Workflows Guide](05-workflows.md) - Custom workflow creation
- [Packaging Guide](04-packaging.md) - Export enhanced skills
- [MCP Reference](../reference/MCP_REFERENCE.md) - Enhancement via MCP

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# Packaging Guide
> **Skill Seekers v3.1.0**
> **Export skills to AI platforms and vector databases**
---
## Overview
Packaging converts your skill directory into a platform-specific format:
```
output/my-skill/ ──▶ Packager ──▶ output/my-skill-{platform}.{format}
↓ ↓
(SKILL.md + Platform-specific (ZIP, tar.gz,
references) formatting directories,
FAISS index)
```
---
## Supported Platforms
| Platform | Format | Extension | Best For |
|----------|--------|-----------|----------|
| **Claude AI** | ZIP + YAML | `.zip` | Claude Code, Claude API |
| **Google Gemini** | tar.gz | `.tar.gz` | Gemini skills |
| **OpenAI ChatGPT** | ZIP + Vector | `.zip` | Custom GPTs |
| **LangChain** | Documents | directory | RAG pipelines |
| **LlamaIndex** | TextNodes | directory | Query engines |
| **Haystack** | Documents | directory | Enterprise RAG |
| **Pinecone** | Markdown | `.zip` | Vector upsert |
| **ChromaDB** | Collection | `.zip` | Local vector DB |
| **Weaviate** | Objects | `.zip` | Vector database |
| **Qdrant** | Points | `.zip` | Vector database |
| **FAISS** | Index | `.faiss` | Local similarity |
| **Markdown** | ZIP | `.zip` | Universal export |
| **Cursor** | .cursorrules | file | IDE AI context |
| **Windsurf** | .windsurfrules | file | IDE AI context |
| **Cline** | .clinerules | file | VS Code AI |
---
## Basic Packaging
### Package for Claude (Default)
```bash
# Default packaging
skill-seekers package output/my-skill/
# Explicit target
skill-seekers package output/my-skill/ --target claude
# Output: output/my-skill-claude.zip
```
### Package for Other Platforms
```bash
# Google Gemini
skill-seekers package output/my-skill/ --target gemini
# Output: output/my-skill-gemini.tar.gz
# OpenAI
skill-seekers package output/my-skill/ --target openai
# Output: output/my-skill-openai.zip
# LangChain
skill-seekers package output/my-skill/ --target langchain
# Output: output/my-skill-langchain/ directory
# ChromaDB
skill-seekers package output/my-skill/ --target chroma
# Output: output/my-skill-chroma.zip
```
---
## Multi-Platform Packaging
### Package for All Platforms
```bash
# Create skill once
skill-seekers create <source>
# Package for multiple platforms
for platform in claude gemini openai langchain; do
echo "Packaging for $platform..."
skill-seekers package output/my-skill/ --target $platform
done
# Results:
# output/my-skill-claude.zip
# output/my-skill-gemini.tar.gz
# output/my-skill-openai.zip
# output/my-skill-langchain/
```
### Batch Packaging Script
```bash
#!/bin/bash
SKILL_DIR="output/my-skill"
PLATFORMS="claude gemini openai langchain llama-index chroma"
for platform in $PLATFORMS; do
echo "▶️ Packaging for $platform..."
skill-seekers package "$SKILL_DIR" --target "$platform"
if [ $? -eq 0 ]; then
echo "✅ $platform done"
else
echo "❌ $platform failed"
fi
done
echo "🎉 All platforms packaged!"
```
---
## Packaging Options
### Skip Quality Check
```bash
# Skip validation (faster)
skill-seekers package output/my-skill/ --skip-quality-check
```
### Don't Open Output Folder
```bash
# Prevent opening folder after packaging
skill-seekers package output/my-skill/ --no-open
```
### Auto-Upload After Packaging
```bash
# Package and upload
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers package output/my-skill/ --target claude --upload
```
---
## Streaming Mode
For very large skills, use streaming to reduce memory usage:
```bash
# Enable streaming
skill-seekers package output/large-skill/ --streaming
# Custom chunk size
skill-seekers package output/large-skill/ \
--streaming \
--chunk-size 2000 \
--chunk-overlap 100
```
**When to use:**
- Skills > 500 pages
- Limited RAM (< 8GB)
- Batch processing many skills
---
## RAG Chunking
Optimize for Retrieval-Augmented Generation:
```bash
# Enable semantic chunking
skill-seekers package output/my-skill/ \
--target langchain \
--chunk \
--chunk-tokens 512
# Custom chunk size
skill-seekers package output/my-skill/ \
--target chroma \
--chunk-tokens 256 \
--chunk-overlap 50
```
**Chunking Options:**
| Option | Default | Description |
|--------|---------|-------------|
| `--chunk` | auto | Enable chunking |
| `--chunk-tokens` | 512 | Tokens per chunk |
| `--chunk-overlap` | 50 | Overlap between chunks |
| `--no-preserve-code` | - | Allow splitting code blocks |
---
## Platform-Specific Details
### Claude AI
```bash
skill-seekers package output/my-skill/ --target claude
```
**Upload:**
```bash
# Auto-upload
skill-seekers package output/my-skill/ --target claude --upload
# Manual upload
skill-seekers upload output/my-skill-claude.zip --target claude
```
**Format:**
- ZIP archive
- Contains SKILL.md + references/
- Includes YAML manifest
---
### Google Gemini
```bash
skill-seekers package output/my-skill/ --target gemini
```
**Upload:**
```bash
export GOOGLE_API_KEY=AIza...
skill-seekers upload output/my-skill-gemini.tar.gz --target gemini
```
**Format:**
- tar.gz archive
- Optimized for Gemini's format
---
### OpenAI ChatGPT
```bash
skill-seekers package output/my-skill/ --target openai
```
**Upload:**
```bash
export OPENAI_API_KEY=sk-...
skill-seekers upload output/my-skill-openai.zip --target openai
```
**Format:**
- ZIP with vector embeddings
- Ready for Assistants API
---
### LangChain
```bash
skill-seekers package output/my-skill/ --target langchain
```
**Usage:**
```python
from langchain.document_loaders import DirectoryLoader
loader = DirectoryLoader("output/my-skill-langchain/")
docs = loader.load()
# Use in RAG pipeline
```
**Format:**
- Directory of Document objects
- JSON metadata
---
### ChromaDB
```bash
skill-seekers package output/my-skill/ --target chroma
```
**Upload:**
```bash
# Local ChromaDB
skill-seekers upload output/my-skill-chroma.zip --target chroma
# With custom URL
skill-seekers upload output/my-skill-chroma.zip \
--target chroma \
--chroma-url http://localhost:8000
```
**Usage:**
```python
import chromadb
client = chromadb.HttpClient(host="localhost", port=8000)
collection = client.get_collection("my-skill")
```
---
### Weaviate
```bash
skill-seekers package output/my-skill/ --target weaviate
```
**Upload:**
```bash
# Local Weaviate
skill-seekers upload output/my-skill-weaviate.zip --target weaviate
# Weaviate Cloud
skill-seekers upload output/my-skill-weaviate.zip \
--target weaviate \
--use-cloud \
--cluster-url https://xxx.weaviate.network
```
---
### Cursor IDE
```bash
# Package (actually creates .cursorrules file)
skill-seekers package output/my-skill/ --target cursor
# Or install directly
skill-seekers install-agent output/my-skill/ --agent cursor
```
**Result:** `.cursorrules` file in your project root.
---
### Windsurf IDE
```bash
skill-seekers install-agent output/my-skill/ --agent windsurf
```
**Result:** `.windsurfrules` file in your project root.
---
## Quality Check
Before packaging, skills are validated:
```bash
# Check quality
skill-seekers quality output/my-skill/
# Detailed report
skill-seekers quality output/my-skill/ --report
# Set minimum threshold
skill-seekers quality output/my-skill/ --threshold 7.0
```
**Quality Metrics:**
- SKILL.md completeness
- Code example coverage
- Navigation structure
- Reference file organization
---
## Output Structure
### After Packaging
```
output/
├── my-skill/ # Source skill
│ ├── SKILL.md
│ └── references/
│
├── my-skill-claude.zip # Claude package
├── my-skill-gemini.tar.gz # Gemini package
├── my-skill-openai.zip # OpenAI package
├── my-skill-langchain/ # LangChain directory
├── my-skill-chroma.zip # ChromaDB package
└── my-skill-weaviate.zip # Weaviate package
```
---
## Troubleshooting
### "Package validation failed"
**Problem:** SKILL.md is missing or malformed
**Solution:**
```bash
# Check skill structure
ls output/my-skill/
# Rebuild if needed
skill-seekers create --config my-config --skip-scrape
# Or recreate
skill-seekers create <source>
```
### "Target platform not supported"
**Problem:** Typo in target name
**Solution:**
```bash
# Check available targets
skill-seekers package --help
# Common targets: claude, gemini, openai, langchain, chroma, weaviate
```
### "Upload failed"
**Problem:** Missing API key
**Solution:**
```bash
# Set API key
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIza...
export OPENAI_API_KEY=sk-...
# Try again
skill-seekers upload output/my-skill-claude.zip --target claude
```
### "Out of memory"
**Problem:** Skill too large for memory
**Solution:**
```bash
# Use streaming mode
skill-seekers package output/my-skill/ --streaming
# Smaller chunks
skill-seekers package output/my-skill/ --streaming --chunk-size 1000
```
---
## Best Practices
### 1. Package Once, Use Everywhere
```bash
# Create once
skill-seekers create <source>
# Package for all needed platforms
for platform in claude gemini langchain; do
skill-seekers package output/my-skill/ --target $platform
done
```
### 2. Check Quality Before Packaging
```bash
# Validate first
skill-seekers quality output/my-skill/ --threshold 6.0
# Then package
skill-seekers package output/my-skill/
```
### 3. Use Streaming for Large Skills
```bash
# Automatically detected, but can force
skill-seekers package output/large-skill/ --streaming
```
### 4. Keep Original Skill Directory
Don't delete `output/my-skill/` after packaging - you might want to:
- Re-package for other platforms
- Apply different workflows
- Update and re-enhance
---
## Next Steps
- [Workflows Guide](05-workflows.md) - Apply workflows before packaging
- [MCP Reference](../reference/MCP_REFERENCE.md) - Package via MCP
- [Vector DB Integrations](../integrations/) - Platform-specific guides

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# Workflows Guide
> **Skill Seekers v3.1.0**
> **Enhancement workflow presets for specialized analysis**
---
## What are Workflows?
Workflows are **multi-stage AI enhancement pipelines** that apply specialized analysis to your skills:
```
Basic Skill ──▶ Workflow: Security-Focus ──▶ Security-Enhanced Skill
Stage 1: Overview
Stage 2: Vulnerability Analysis
Stage 3: Best Practices
Stage 4: Compliance
```
---
## Built-in Presets
Skill Seekers includes 5 built-in workflow presets:
| Preset | Stages | Best For |
|--------|--------|----------|
| `default` | 2 | General improvement |
| `minimal` | 1 | Light touch-up |
| `security-focus` | 4 | Security analysis |
| `architecture-comprehensive` | 7 | Deep architecture review |
| `api-documentation` | 3 | API documentation focus |
---
## Using Workflows
### List Available Workflows
```bash
skill-seekers workflows list
```
**Output:**
```
Bundled Workflows:
- default (built-in)
- minimal (built-in)
- security-focus (built-in)
- architecture-comprehensive (built-in)
- api-documentation (built-in)
User Workflows:
- my-custom (user)
```
### Apply a Workflow
```bash
# During skill creation
skill-seekers create <source> --enhance-workflow security-focus
# Multiple workflows (chained)
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
```
### Show Workflow Content
```bash
skill-seekers workflows show security-focus
```
**Output:**
```yaml
name: security-focus
description: Security analysis workflow
stages:
- name: security-overview
prompt: Analyze security features and mechanisms...
- name: vulnerability-analysis
prompt: Identify common vulnerabilities...
- name: best-practices
prompt: Document security best practices...
- name: compliance
prompt: Map to security standards...
```
---
## Workflow Presets Explained
### Default Workflow
**Stages:** 2
**Purpose:** General improvement
```yaml
stages:
- name: structure
prompt: Improve overall structure and organization
- name: content
prompt: Enhance content quality and examples
```
**Use when:** You want standard enhancement without specific focus.
---
### Minimal Workflow
**Stages:** 1
**Purpose:** Light touch-up
```yaml
stages:
- name: cleanup
prompt: Basic formatting and cleanup
```
**Use when:** You need quick, minimal enhancement.
---
### Security-Focus Workflow
**Stages:** 4
**Purpose:** Security analysis and recommendations
```yaml
stages:
- name: security-overview
prompt: Identify and document security features...
- name: vulnerability-analysis
prompt: Analyze potential vulnerabilities...
- name: security-best-practices
prompt: Document security best practices...
- name: compliance-mapping
prompt: Map to OWASP, CWE, and other standards...
```
**Use for:**
- Security libraries
- Authentication systems
- API frameworks
- Any code handling sensitive data
**Example:**
```bash
skill-seekers create oauth2-server --enhance-workflow security-focus
```
---
### Architecture-Comprehensive Workflow
**Stages:** 7
**Purpose:** Deep architectural analysis
```yaml
stages:
- name: system-overview
prompt: Document high-level architecture...
- name: component-analysis
prompt: Analyze key components...
- name: data-flow
prompt: Document data flow patterns...
- name: integration-points
prompt: Identify external integrations...
- name: scalability
prompt: Document scalability considerations...
- name: deployment
prompt: Document deployment patterns...
- name: maintenance
prompt: Document operational concerns...
```
**Use for:**
- Large frameworks
- Distributed systems
- Microservices
- Enterprise platforms
**Example:**
```bash
skill-seekers create kubernetes/kubernetes \
--enhance-workflow architecture-comprehensive
```
---
### API-Documentation Workflow
**Stages:** 3
**Purpose:** API-focused enhancement
```yaml
stages:
- name: endpoint-catalog
prompt: Catalog all API endpoints...
- name: request-response
prompt: Document request/response formats...
- name: error-handling
prompt: Document error codes and handling...
```
**Use for:**
- REST APIs
- GraphQL services
- SDKs
- Library documentation
**Example:**
```bash
skill-seekers create https://api.example.com/docs \
--enhance-workflow api-documentation
```
---
## Chaining Multiple Workflows
Apply multiple workflows sequentially:
```bash
skill-seekers create <source> \
--enhance-workflow security-focus \
--enhance-workflow api-documentation
```
**Execution order:**
1. Run `security-focus` workflow
2. Run `api-documentation` workflow on results
3. Final skill has both security and API focus
**Use case:** API with security considerations
---
## Custom Workflows
### Create Custom Workflow
Create a YAML file:
```yaml
# my-workflow.yaml
name: performance-focus
description: Performance optimization workflow
variables:
target_latency: "100ms"
target_throughput: "1000 req/s"
stages:
- name: performance-overview
type: builtin
target: skill_md
prompt: |
Analyze performance characteristics of this framework.
Focus on:
- Benchmark results
- Optimization opportunities
- Scalability limits
- name: optimization-guide
type: custom
uses_history: true
prompt: |
Based on the previous analysis, create an optimization guide.
Target latency: {target_latency}
Target throughput: {target_throughput}
Previous results: {previous_results}
```
### Install Workflow
```bash
# Add to user workflows
skill-seekers workflows add my-workflow.yaml
# With custom name
skill-seekers workflows add my-workflow.yaml --name perf-guide
```
### Use Custom Workflow
```bash
skill-seekers create <source> --enhance-workflow performance-focus
```
### Update Workflow
```bash
# Edit the file, then:
skill-seekers workflows add my-workflow.yaml --name performance-focus
```
### Remove Workflow
```bash
skill-seekers workflows remove performance-focus
```
---
## Workflow Variables
Pass variables to workflows at runtime:
### In Workflow Definition
```yaml
variables:
target_audience: "beginners"
focus_area: "security"
```
### Override at Runtime
```bash
skill-seekers create <source> \
--enhance-workflow my-workflow \
--var target_audience=experts \
--var focus_area=performance
```
### Use in Prompts
```yaml
stages:
- name: customization
prompt: |
Tailor content for {target_audience}.
Focus on {focus_area} aspects.
```
---
## Inline Stages
Add one-off enhancement stages without creating a workflow file:
```bash
skill-seekers create <source> \
--enhance-stage "performance:Analyze performance characteristics"
```
**Format:** `name:prompt`
**Multiple stages:**
```bash
skill-seekers create <source> \
--enhance-stage "perf:Analyze performance" \
--enhance-stage "security:Check security" \
--enhance-stage "examples:Add more examples"
```
---
## Workflow Dry Run
Preview what a workflow will do without executing:
```bash
skill-seekers create <source> \
--enhance-workflow security-focus \
--workflow-dry-run
```
**Output:**
```
Workflow: security-focus
Stages:
1. security-overview
- Will analyze security features
- Target: skill_md
2. vulnerability-analysis
- Will identify vulnerabilities
- Target: skill_md
3. best-practices
- Will document best practices
- Target: skill_md
4. compliance
- Will map to standards
- Target: skill_md
Execution order: Sequential
Estimated time: ~4 minutes
```
---
## Workflow Validation
Validate workflow syntax:
```bash
# Validate bundled workflow
skill-seekers workflows validate security-focus
# Validate file
skill-seekers workflows validate ./my-workflow.yaml
```
---
## Copying Workflows
Copy bundled workflows to customize:
```bash
# Copy single workflow
skill-seekers workflows copy security-focus
# Copy multiple
skill-seekers workflows copy security-focus api-documentation minimal
# Edit the copy
nano ~/.config/skill-seekers/workflows/security-focus.yaml
```
---
## Best Practices
### 1. Start with Default
```bash
# Default is good for most cases
skill-seekers create <source>
```
### 2. Add Specific Workflows as Needed
```bash
# Security-focused project
skill-seekers create auth-library --enhance-workflow security-focus
# API project
skill-seekers create api-framework --enhance-workflow api-documentation
```
### 3. Chain for Comprehensive Analysis
```bash
# Large framework: architecture + security
skill-seekers create kubernetes/kubernetes \
--enhance-workflow architecture-comprehensive \
--enhance-workflow security-focus
```
### 4. Create Custom for Specialized Needs
```bash
# Create custom workflow for your domain
skill-seekers workflows add ml-workflow.yaml
skill-seekers create ml-framework --enhance-workflow ml-focus
```
### 5. Use Variables for Flexibility
```bash
# Same workflow, different targets
skill-seekers create <source> \
--enhance-workflow my-workflow \
--var audience=beginners
skill-seekers create <source> \
--enhance-workflow my-workflow \
--var audience=experts
```
---
## Troubleshooting
### "Workflow not found"
```bash
# List available
skill-seekers workflows list
# Check spelling
skill-seekers create <source> --enhance-workflow security-focus
```
### "Invalid workflow YAML"
```bash
# Validate
skill-seekers workflows validate ./my-workflow.yaml
# Common issues:
# - Missing 'stages' key
# - Invalid YAML syntax
# - Undefined variable references
```
### "Workflow stage failed"
```bash
# Check stage details
skill-seekers workflows show my-workflow
# Try with dry run
skill-seekers create <source> \
--enhance-workflow my-workflow \
--workflow-dry-run
```
---
## Summary
| Approach | When to Use |
|----------|-------------|
| **Default** | Most cases |
| **Security-Focus** | Security-sensitive projects |
| **Architecture** | Large frameworks, systems |
| **API-Docs** | API frameworks, libraries |
| **Custom** | Specialized domains |
| **Chaining** | Multiple perspectives needed |
---
## Next Steps
- [Custom Workflows](../advanced/custom-workflows.md) - Advanced workflow creation
- [Enhancement Guide](03-enhancement.md) - Enhancement fundamentals
- [MCP Reference](../reference/MCP_REFERENCE.md) - Workflows via MCP

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# Troubleshooting Guide
> **Skill Seekers v3.1.0**
> **Common issues and solutions**
---
## Quick Fixes
| Issue | Quick Fix |
|-------|-----------|
| `command not found` | `export PATH="$HOME/.local/bin:$PATH"` |
| `ImportError` | `pip install -e .` |
| `Rate limit` | Add `--rate-limit 2.0` |
| `No content` | Check selectors in config |
| `Enhancement fails` | Set `ANTHROPIC_API_KEY` |
| `Out of memory` | Use `--streaming` mode |
---
## Installation Issues
### "command not found: skill-seekers"
**Cause:** pip bin directory not in PATH
**Solution:**
```bash
# Add to PATH
export PATH="$HOME/.local/bin:$PATH"
# Or reinstall with --user
pip install --user --force-reinstall skill-seekers
# Verify
which skill-seekers
```
---
### "No module named 'skill_seekers'"
**Cause:** Package not installed or wrong Python environment
**Solution:**
```bash
# Install package
pip install skill-seekers
# For development
pip install -e .
# Verify
python -c "import skill_seekers; print(skill_seekers.__version__)"
```
---
### "Permission denied"
**Cause:** Trying to install system-wide
**Solution:**
```bash
# Don't use sudo
# Instead:
pip install --user skill-seekers
# Or use virtual environment
python3 -m venv venv
source venv/bin/activate
pip install skill-seekers
```
---
## Scraping Issues
### "Rate limit exceeded"
**Cause:** Too many requests to server
**Solution:**
```bash
# Slow down
skill-seekers create <url> --rate-limit 2.0
# For GitHub
export GITHUB_TOKEN=ghp_...
skill-seekers github --repo owner/repo
```
---
### "No content extracted"
**Cause:** Wrong CSS selectors
**Solution:**
```bash
# Find correct selectors
curl -s <url> | grep -i 'article\|main\|content'
# Create config with correct selectors
cat > configs/fix.json << 'EOF'
{
"name": "my-site",
"base_url": "https://example.com/",
"selectors": {
"main_content": "article" # or "main", ".content", etc.
}
}
EOF
skill-seekers create --config configs/fix.json
```
**Common selectors:**
| Site Type | Selector |
|-----------|----------|
| Docusaurus | `article` |
| ReadTheDocs | `[role="main"]` |
| GitBook | `.book-body` |
| MkDocs | `.md-content` |
---
### "Too many pages"
**Cause:** Site larger than max_pages setting
**Solution:**
```bash
# Estimate first
skill-seekers estimate configs/my-config.json
# Increase limit
skill-seekers create <url> --max-pages 1000
# Or limit in config
{
"max_pages": 1000
}
```
---
### "Connection timeout"
**Cause:** Slow server or network issues
**Solution:**
```bash
# Increase timeout
skill-seekers create <url> --timeout 60
# Or in config
{
"timeout": 60
}
```
---
### "SSL certificate error"
**Cause:** Certificate validation failure
**Solution:**
```bash
# Set environment variable (not recommended for production)
export PYTHONWARNINGS="ignore:Unverified HTTPS request"
# Or use requests settings in config
{
"verify_ssl": false
}
```
---
## Enhancement Issues
### "Enhancement failed: No API key"
**Cause:** ANTHROPIC_API_KEY not set
**Solution:**
```bash
# Set API key
export ANTHROPIC_API_KEY=sk-ant-...
# Or use LOCAL mode
skill-seekers enhance output/my-skill/ --agent local
```
---
### "Claude Code not found" (LOCAL mode)
**Cause:** Claude Code not installed
**Solution:**
```bash
# Install Claude Code
# See: https://claude.ai/code
# Or use API mode
export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers enhance output/my-skill/ --agent api
```
---
### "Enhancement timeout"
**Cause:** Enhancement taking too long
**Solution:**
```bash
# Increase timeout
skill-seekers enhance output/my-skill/ --timeout 1200
# Use background mode
skill-seekers enhance output/my-skill/ --background
skill-seekers enhance-status output/my-skill/ --watch
```
---
### "Workflow not found"
**Cause:** Typo or workflow doesn't exist
**Solution:**
```bash
# List available workflows
skill-seekers workflows list
# Check spelling
skill-seekers create <source> --enhance-workflow security-focus
```
---
## Packaging Issues
### "Package validation failed"
**Cause:** SKILL.md missing or malformed
**Solution:**
```bash
# Check structure
ls output/my-skill/
# Should contain:
# - SKILL.md
# - references/
# Rebuild if needed
skill-seekers create --config my-config --skip-scrape
# Or recreate
skill-seekers create <source>
```
---
### "Target platform not supported"
**Cause:** Typo in target name
**Solution:**
```bash
# List valid targets
skill-seekers package --help
# Valid targets:
# claude, gemini, openai, langchain, llama-index,
# haystack, pinecone, chroma, weaviate, qdrant, faiss, markdown
```
---
### "Out of memory"
**Cause:** Skill too large for available RAM
**Solution:**
```bash
# Use streaming mode
skill-seekers package output/my-skill/ --streaming
# Reduce chunk size
skill-seekers package output/my-skill/ \
--streaming \
--chunk-size 1000
```
---
## Upload Issues
### "Upload failed: Invalid API key"
**Cause:** Wrong or missing API key
**Solution:**
```bash
# Claude
export ANTHROPIC_API_KEY=sk-ant-...
# Gemini
export GOOGLE_API_KEY=AIza...
# OpenAI
export OPENAI_API_KEY=sk-...
# Verify
echo $ANTHROPIC_API_KEY
```
---
### "Upload failed: Network error"
**Cause:** Connection issues
**Solution:**
```bash
# Check connection
ping api.anthropic.com
# Retry
skill-seekers upload output/my-skill-claude.zip --target claude
# Or upload manually through web interface
```
---
### "Upload failed: File too large"
**Cause:** Package exceeds platform limits
**Solution:**
```bash
# Check size
ls -lh output/my-skill-claude.zip
# Use streaming mode
skill-seekers package output/my-skill/ --streaming
# Or split into smaller skills
skill-seekers workflows split-config configs/my-config.json
```
---
## GitHub Issues
### "GitHub API rate limit"
**Cause:** Unauthenticated requests limited to 60/hour
**Solution:**
```bash
# Set token
export GITHUB_TOKEN=ghp_...
# Create token: https://github.com/settings/tokens
# Needs: repo, read:org (for private repos)
```
---
### "Repository not found"
**Cause:** Private repo or wrong name
**Solution:**
```bash
# Check repo exists
https://github.com/owner/repo
# Set token for private repos
export GITHUB_TOKEN=ghp_...
# Correct format
skill-seekers github --repo owner/repo
```
---
### "No code found"
**Cause:** Empty repo or wrong branch
**Solution:**
```bash
# Check repo has code
# Specify branch in config
{
"type": "github",
"repo": "owner/repo",
"branch": "main"
}
```
---
## PDF Issues
### "PDF is encrypted"
**Cause:** Password-protected PDF
**Solution:**
```bash
# Add password to config
{
"type": "pdf",
"pdf_path": "protected.pdf",
"password": "secret123"
}
```
---
### "OCR failed"
**Cause:** Scanned PDF without OCR
**Solution:**
```bash
# Enable OCR
skill-seekers pdf --pdf scanned.pdf --enable-ocr
# Install OCR dependencies
pip install skill-seekers[pdf-ocr]
# System: apt-get install tesseract-ocr
```
---
## Configuration Issues
### "Invalid config JSON"
**Cause:** Syntax error in config file
**Solution:**
```bash
# Validate JSON
python -m json.tool configs/my-config.json
# Or use online validator
# jsonlint.com
```
---
### "Config not found"
**Cause:** Wrong path or missing file
**Solution:**
```bash
# Check file exists
ls configs/my-config.json
# Use absolute path
skill-seekers create --config /full/path/to/config.json
# Or list available
skill-seekers estimate --all
```
---
## Performance Issues
### "Scraping is too slow"
**Solutions:**
```bash
# Use async mode
skill-seekers create <url> --async --workers 5
# Reduce rate limit (for your own servers)
skill-seekers create <url> --rate-limit 0.1
# Skip enhancement
skill-seekers create <url> --enhance-level 0
```
---
### "Out of disk space"
**Solutions:**
```bash
# Check usage
du -sh output/
# Clean old skills
rm -rf output/old-skill/
# Use streaming mode
skill-seekers create <url> --streaming
```
---
### "High memory usage"
**Solutions:**
```bash
# Use streaming mode
skill-seekers create <url> --streaming
skill-seekers package output/my-skill/ --streaming
# Reduce workers
skill-seekers create <url> --workers 1
# Limit pages
skill-seekers create <url> --max-pages 100
```
---
## Getting Help
### Debug Mode
```bash
# Enable verbose logging
skill-seekers create <source> --verbose
# Or environment variable
export SKILL_SEEKERS_DEBUG=1
```
### Check Logs
```bash
# Enable file logging
export SKILL_SEEKERS_LOG_FILE=/tmp/skill-seekers.log
# Tail logs
tail -f /tmp/skill-seekers.log
```
### Create Minimal Reproduction
```bash
# Create test config
cat > test-config.json << 'EOF'
{
"name": "test",
"base_url": "https://example.com/",
"max_pages": 5
}
EOF
# Run with debug
skill-seekers create --config test-config.json --verbose --dry-run
```
---
## Report an Issue
If none of these solutions work:
1. **Gather info:**
```bash
skill-seekers --version
python --version
pip show skill-seekers
```
2. **Enable debug:**
```bash
skill-seekers <command> --verbose 2>&1 | tee debug.log
```
3. **Create issue:**
- https://github.com/yusufkaraaslan/Skill_Seekers/issues
- Include: error message, command used, debug log
---
## Error Reference
| Error Code | Meaning | Solution |
|------------|---------|----------|
| `E001` | Config not found | Check path |
| `E002` | Invalid config | Validate JSON |
| `E003` | Network error | Check connection |
| `E004` | Rate limited | Slow down or use token |
| `E005` | Scraping failed | Check selectors |
| `E006` | Enhancement failed | Check API key |
| `E007` | Packaging failed | Check skill structure |
| `E008` | Upload failed | Check API key |
---
## Still Stuck?
- **Documentation:** https://skillseekersweb.com/
- **GitHub Issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
- **Discussions:** Share your use case
---
*Last updated: 2026-02-16*