Update 32 documentation files across English and Chinese (zh-CN) docs to reflect the 10 new source types added in the previous commit. Updated files: - README.md, README.zh-CN.md — taglines, feature lists, examples, install extras - docs/reference/ — CLI_REFERENCE, FEATURE_MATRIX, MCP_REFERENCE, CONFIG_FORMAT, API_REFERENCE - docs/features/ — UNIFIED_SCRAPING with generic merge docs - docs/advanced/ — multi-source guide, MCP server guide - docs/getting-started/ — installation extras, quick-start examples - docs/user-guide/ — core-concepts, scraping, packaging, workflows (complex-merge) - docs/ — FAQ, TROUBLESHOOTING, BEST_PRACTICES, ARCHITECTURE, UNIFIED_PARSERS, README - Root — BULLETPROOF_QUICKSTART, CONTRIBUTING, ROADMAP - docs/zh-CN/ — Chinese translations for all of the above 32 files changed, +3,016 lines, -245 lines
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Core Concepts
Skill Seekers v3.2.0
Understanding how Skill Seekers works
Overview
Skill Seekers transforms documentation, code, and content into structured knowledge assets that AI systems can use effectively. It supports 17 source types including documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and more.
Raw Content → Skill Seekers → AI-Ready Skill
↓ ↓
(docs, code, PDFs, (SKILL.md +
videos, notebooks, references)
wikis, feeds, etc.)
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
# 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 **17 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:
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:
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:
skill-seekers create ./my-project
skill-seekers analyze --directory ./my-project
Best for:
- Your own projects
- Internal tools
- Code review preparation
5. Word Documents
What: Microsoft Word (.docx) files
Command:
skill-seekers create report.docx
6. EPUB Books
What: EPUB e-book files
Command:
skill-seekers create book.epub
7. Videos
What: YouTube, Vimeo, or local video files (transcripts + visual analysis)
Command:
skill-seekers create https://www.youtube.com/watch?v=...
skill-seekers video --url https://www.youtube.com/watch?v=...
8. Jupyter Notebooks
What: .ipynb notebook files with code, markdown, and outputs
Command:
skill-seekers create analysis.ipynb
skill-seekers jupyter --notebook analysis.ipynb
9. Local HTML Files
What: HTML/HTM files on disk
Command:
skill-seekers create page.html
skill-seekers html --file page.html
10. OpenAPI/Swagger Specs
What: OpenAPI YAML/JSON specifications
Command:
skill-seekers create api-spec.yaml
skill-seekers openapi --spec api-spec.yaml
11. AsciiDoc
What: AsciiDoc (.adoc, .asciidoc) files
Command:
skill-seekers create guide.adoc
skill-seekers asciidoc --file guide.adoc
12. PowerPoint Presentations
What: Microsoft PowerPoint (.pptx) files
Command:
skill-seekers create slides.pptx
skill-seekers pptx --file slides.pptx
13. RSS/Atom Feeds
What: RSS or Atom feed files
Command:
skill-seekers create feed.rss
skill-seekers rss --feed feed.rss
14. Man Pages
What: Unix manual pages (.1 through .8, .man)
Command:
skill-seekers create grep.1
skill-seekers manpage --file grep.1
15. Confluence Wikis
What: Atlassian Confluence spaces (via API or export)
Command:
skill-seekers confluence --space DEV --base-url https://wiki.example.com
16. Notion Workspaces
What: Notion pages and databases (via API or export)
Command:
skill-seekers notion --database abc123
17. Slack/Discord Chat
What: Chat platform exports or API access
Command:
skill-seekers chat --export slack-export/
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
# 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)
# Just provide the source
skill-seekers create https://docs.react.dev/
Preset Configs
# Use predefined configuration
skill-seekers create --config react
Available presets: react, vue, django, fastapi, godot, etc.
Custom Config
# 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 for full specification.
Multi-Source Skills
Combine multiple sources into one skill:
# 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
# Use cached data, just rebuild
skill-seekers create --config react --skip-scrape
Resume Interrupted Jobs
# List resumable jobs
skill-seekers resume --list
# Resume specific job
skill-seekers resume job-abc123
Rate Limiting
Be respectful to servers:
# 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
- Skills are structured knowledge - Not just raw text
- Auto-detection works - Usually don't need custom configs
- Enhancement improves quality - Level 2 is the sweet spot
- Package once, use everywhere - Same skill, multiple platforms
- Cache saves time - Rebuild without re-scraping
Next Steps
- Scraping Guide - Deep dive into source options
- Enhancement Guide - AI enhancement explained
- Config Format - Custom configurations