Documentation Overhaul (7 new files, ~4,750 lines) Version Consistency Updates: - Updated all version references to v2.7.0 (ROADMAP.md) - Standardized test counts to 1200+ tests (README.md, Quality Assurance) - Updated MCP tool references to 18 tools (CHANGELOG.md) New Documentation Files: 1. docs/reference/API_REFERENCE.md (750 lines) - Complete programmatic usage guide for Python integration - All 8 core APIs documented with examples - Configuration schema reference and error handling - CI/CD integration examples (GitHub Actions, GitLab CI) - Performance optimization and batch processing 2. docs/features/BOOTSTRAP_SKILL.md (450 lines) - Self-hosting capability documentation (dogfooding) - Architecture and workflow explanation (3 components) - Troubleshooting and testing guide - CI/CD integration examples - Advanced usage and customization 3. docs/reference/CODE_QUALITY.md (550 lines) - Comprehensive Ruff linting documentation - All 21 v2.7.0 fixes explained with examples - Testing requirements and coverage standards - CI/CD integration (GitHub Actions, pre-commit hooks) - Security scanning with Bandit - Development workflow best practices 4. docs/guides/TESTING_GUIDE.md (750 lines) - Complete testing reference (1200+ tests) - Unit, integration, E2E, and MCP testing guides - Coverage analysis and improvement strategies - Debugging tests and troubleshooting - CI/CD matrix testing (2 OS, 4 Python versions) - Best practices and common patterns 5. docs/QUICK_REFERENCE.md (300 lines) - One-page cheat sheet for quick lookup - All CLI commands with examples - Common workflows and shortcuts - Environment variables and configurations - Tips & tricks for power users 6. docs/guides/MIGRATION_GUIDE.md (400 lines) - Version upgrade guides (v1.0.0 → v2.7.0) - Breaking changes and migration steps - Compatibility tables for all versions - Rollback instructions - Common migration issues and solutions 7. docs/FAQ.md (550 lines) - Comprehensive Q&A covering all major topics - Installation, usage, platforms, features - Troubleshooting shortcuts - Platform-specific questions - Advanced usage and programmatic integration Navigation Improvements: - Added "New in v2.7.0" section to docs/README.md - Integrated all new docs into navigation structure - Enhanced "Finding What You Need" section with new entries - Updated developer quick links (testing, code quality, API) - Cross-referenced related documentation Documentation Quality: - All version references consistent (v2.7.0) - Test counts standardized (1200+ tests) - MCP tool counts accurate (18 tools) - All internal links validated - Format consistency maintained - Proper heading hierarchy Impact: - 64 markdown files reviewed and validated - 7 new documentation files created (~4,750 lines) - 4 files updated (ROADMAP, README, CHANGELOG, docs/README) - Comprehensive coverage of all v2.7.0 features - Enhanced developer onboarding experience - Improved user documentation accessibility Related Issues: - Addresses documentation gaps identified in v2.7.0 planning - Supports code quality improvements (21 ruff fixes) - Documents bootstrap skill feature - Provides migration path for users upgrading from older versions Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
656 lines
16 KiB
Markdown
656 lines
16 KiB
Markdown
# Frequently Asked Questions (FAQ)
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**Version:** 2.7.0
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**Last Updated:** 2026-01-18
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---
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## General Questions
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### What is Skill Seekers?
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Skill Seekers is a Python tool that converts documentation websites, GitHub repositories, and PDF files into AI skills for Claude AI, Google Gemini, OpenAI ChatGPT, and generic Markdown format.
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**Use Cases:**
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- Create custom documentation skills for your favorite frameworks
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- Analyze GitHub repositories and extract code patterns
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- Convert PDF manuals into searchable AI skills
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- Combine multiple sources (docs + code + PDFs) into unified skills
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### Which platforms are supported?
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**Supported Platforms (4):**
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1. **Claude AI** - ZIP format with YAML frontmatter
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2. **Google Gemini** - tar.gz format for Grounded Generation
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3. **OpenAI ChatGPT** - ZIP format for Vector Stores
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4. **Generic Markdown** - ZIP format with markdown files
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Each platform has a dedicated adaptor for optimal formatting and upload.
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### Is it free to use?
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**Tool:** Yes, Skill Seekers is 100% free and open-source (MIT license).
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**API Costs:**
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- **Scraping:** Free (just bandwidth)
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- **AI Enhancement (API mode):** ~$0.15-0.30 per skill (Claude API)
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- **AI Enhancement (LOCAL mode):** Free! (uses your Claude Code Max plan)
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- **Upload:** Free (platform storage limits apply)
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**Recommendation:** Use LOCAL mode for free AI enhancement or skip enhancement entirely.
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### How long does it take to create a skill?
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**Typical Times:**
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- Documentation scraping: 5-45 minutes (depends on size)
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- GitHub analysis: 1-5 minutes (basic) or 20-60 minutes (C3.x deep analysis)
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- PDF extraction: 30 seconds - 5 minutes
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- AI enhancement: 30-60 seconds (LOCAL or API mode)
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- Total workflow: 10-60 minutes
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**Speed Tips:**
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- Use `--async` for 2-3x faster scraping
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- Use `--skip-scrape` to rebuild without re-scraping
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- Skip AI enhancement for faster workflow
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---
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## Installation & Setup
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### How do I install Skill Seekers?
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```bash
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# Basic installation
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pip install skill-seekers
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# With all platform support
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pip install skill-seekers[all-llms]
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# Development installation
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git clone https://github.com/yusufkaraaslan/Skill_Seekers.git
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cd Skill_Seekers
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pip install -e ".[all-llms,dev]"
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```
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### What Python version do I need?
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**Required:** Python 3.10 or higher
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**Tested on:** Python 3.10, 3.11, 3.12, 3.13
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**OS Support:** Linux, macOS, Windows (WSL recommended)
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**Check your version:**
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```bash
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python --version # Should be 3.10+
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```
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### Why do I get "No module named 'skill_seekers'" error?
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**Common Causes:**
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1. Package not installed
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2. Wrong Python environment
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**Solutions:**
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```bash
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# Install package
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pip install skill-seekers
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# Or for development
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pip install -e .
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# Verify installation
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skill-seekers --version
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```
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### How do I set up API keys?
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```bash
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# Claude AI (for enhancement and upload)
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export ANTHROPIC_API_KEY=sk-ant-...
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# Google Gemini (for upload)
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export GOOGLE_API_KEY=AIza...
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# OpenAI ChatGPT (for upload)
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export OPENAI_API_KEY=sk-...
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# GitHub (for higher rate limits)
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export GITHUB_TOKEN=ghp_...
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# Make permanent (add to ~/.bashrc or ~/.zshrc)
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echo 'export ANTHROPIC_API_KEY=sk-ant-...' >> ~/.bashrc
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```
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---
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## Usage Questions
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### How do I scrape documentation?
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**Using preset config:**
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```bash
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skill-seekers scrape --config react
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```
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**Using custom URL:**
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```bash
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skill-seekers scrape --base-url https://docs.example.com --name my-framework
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```
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**From custom config file:**
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```bash
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skill-seekers scrape --config configs/my-framework.json
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```
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### Can I analyze GitHub repositories?
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Yes! Skill Seekers has powerful GitHub analysis:
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```bash
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# Basic analysis (fast)
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skill-seekers github https://github.com/facebook/react
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# Deep C3.x analysis (includes patterns, tests, guides)
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skill-seekers github https://github.com/vercel/next.js --analysis-depth c3x
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```
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**C3.x Features:**
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- Design pattern detection (10 GoF patterns)
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- Test example extraction
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- How-to guide generation
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- Configuration pattern extraction
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- Architectural overview
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- API reference generation
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### Can I extract content from PDFs?
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Yes! PDF extraction with OCR support:
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```bash
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# Basic PDF extraction
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skill-seekers pdf manual.pdf --name product-manual
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# With OCR (for scanned PDFs)
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skill-seekers pdf scanned.pdf --enable-ocr
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# Extract images and tables
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skill-seekers pdf document.pdf --extract-images --extract-tables
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```
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### Can I combine multiple sources?
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Yes! Unified multi-source scraping:
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**Create unified config** (`configs/unified/my-framework.json`):
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```json
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{
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"name": "my-framework",
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"sources": {
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"documentation": {
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"type": "docs",
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"base_url": "https://docs.example.com"
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},
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"github": {
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"type": "github",
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"repo_url": "https://github.com/org/repo"
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},
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"pdf": {
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"type": "pdf",
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"pdf_path": "manual.pdf"
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}
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}
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}
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```
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**Run unified scraping:**
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```bash
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skill-seekers unified --config configs/unified/my-framework.json
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```
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### How do I upload skills to platforms?
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```bash
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# Upload to Claude AI
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export ANTHROPIC_API_KEY=sk-ant-...
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skill-seekers upload output/react-claude.zip --target claude
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# Upload to Google Gemini
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export GOOGLE_API_KEY=AIza...
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skill-seekers upload output/react-gemini.tar.gz --target gemini
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# Upload to OpenAI ChatGPT
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export OPENAI_API_KEY=sk-...
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skill-seekers upload output/react-openai.zip --target openai
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```
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**Or use complete workflow:**
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```bash
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skill-seekers install react --target claude --upload
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```
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---
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## Platform-Specific Questions
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### What's the difference between platforms?
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| Feature | Claude AI | Google Gemini | OpenAI ChatGPT | Markdown |
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|---------|-----------|---------------|----------------|----------|
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| Format | ZIP + YAML | tar.gz | ZIP | ZIP |
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| Upload API | Projects API | Corpora API | Vector Stores | N/A |
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| Model | Sonnet 4.5 | Gemini 2.0 Flash | GPT-4o | N/A |
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| Max Size | 32MB | 10MB | 512MB | N/A |
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| Use Case | Claude Code | Grounded Gen | ChatGPT Custom | Export |
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**Choose based on:**
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- Claude AI: Best for Claude Code integration
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- Google Gemini: Best for Grounded Generation in Gemini
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- OpenAI ChatGPT: Best for ChatGPT Custom GPTs
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- Markdown: Generic export for other tools
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### Can I use multiple platforms at once?
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Yes! Package and upload to all platforms:
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```bash
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# Package for all platforms
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for platform in claude gemini openai markdown; do
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skill-seekers package output/react/ --target $platform
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done
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# Upload to all platforms
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skill-seekers install react --target claude,gemini,openai --upload
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```
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### How do I use skills in Claude Code?
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1. **Install skill to Claude Code directory:**
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```bash
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skill-seekers install-agent --skill-dir output/react/ --agent-dir ~/.claude/skills/react
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```
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2. **Use in Claude Code:**
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```
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Use the react skill to explain React hooks
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```
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3. **Or upload to Claude AI:**
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```bash
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skill-seekers upload output/react-claude.zip --target claude
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```
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---
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## Features & Capabilities
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### What is AI enhancement?
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AI enhancement transforms basic skills (2-3/10 quality) into production-ready skills (8-9/10 quality) using LLMs.
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**Two Modes:**
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1. **API Mode:** Direct Claude API calls (fast, costs ~$0.15-0.30)
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2. **LOCAL Mode:** Uses Claude Code CLI (free with your Max plan)
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**What it improves:**
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- Better organization and structure
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- Clearer explanations
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- More examples and use cases
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- Better cross-references
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- Improved searchability
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**Usage:**
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```bash
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# API mode (if ANTHROPIC_API_KEY is set)
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skill-seekers enhance output/react/
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# LOCAL mode (free!)
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skill-seekers enhance output/react/ --mode LOCAL
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# Background mode
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skill-seekers enhance output/react/ --background
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skill-seekers enhance-status output/react/ --watch
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```
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### What are C3.x features?
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C3.x features are advanced codebase analysis capabilities:
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- **C3.1:** Design pattern detection (Singleton, Factory, Strategy, etc.)
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- **C3.2:** Test example extraction (real usage examples from tests)
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- **C3.3:** How-to guide generation (educational guides from test workflows)
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- **C3.4:** Configuration pattern extraction (env vars, config files)
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- **C3.5:** Architectural overview (system architecture analysis)
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- **C3.6:** AI enhancement (Claude API integration for insights)
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- **C3.7:** Architectural pattern detection (MVC, MVVM, Repository, etc.)
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- **C3.8:** Standalone codebase scraping (300+ line SKILL.md from code alone)
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**Enable C3.x:**
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```bash
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# All C3.x features enabled by default
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skill-seekers codebase --directory /path/to/repo
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# Skip specific features
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skill-seekers codebase --directory . --skip-patterns --skip-how-to-guides
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```
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### What are router skills?
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Router skills help Claude navigate large documentation (>500 pages) by providing a table of contents and keyword index.
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**When to use:**
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- Documentation with 500+ pages
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- Complex multi-section docs
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- Large API references
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**Generate router:**
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```bash
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skill-seekers generate-router output/large-docs/
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```
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### What preset configurations are available?
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**24 preset configs:**
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- Web: react, vue, angular, svelte, nextjs
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- Python: django, flask, fastapi, sqlalchemy, pytest
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- Game Dev: godot, pygame, unity
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- DevOps: docker, kubernetes, terraform, ansible
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- Unified: react-unified, vue-unified, nextjs-unified, etc.
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**List all:**
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```bash
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skill-seekers list-configs
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```
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---
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## Troubleshooting
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### Scraping is very slow, how can I speed it up?
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**Solutions:**
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1. **Use async mode** (2-3x faster):
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```bash
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skill-seekers scrape --config react --async
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```
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2. **Increase rate limit** (faster requests):
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```json
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{
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"rate_limit": 0.1 // Faster (but may hit rate limits)
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}
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```
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3. **Limit pages**:
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```json
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{
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"max_pages": 100 // Stop after 100 pages
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}
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```
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### Why are some pages missing?
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**Common Causes:**
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1. **URL patterns exclude them**
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2. **Max pages limit reached**
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3. **BFS didn't reach them**
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**Solutions:**
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```bash
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# Check URL patterns in config
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{
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"url_patterns": {
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"include": ["/docs/"], // Make sure your pages match
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"exclude": [] // Remove overly broad exclusions
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}
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}
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# Increase max pages
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{
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"max_pages": 1000 // Default is 500
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}
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# Use verbose mode to see what's being scraped
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skill-seekers scrape --config react --verbose
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```
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### How do I fix "NetworkError: Connection failed"?
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**Solutions:**
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1. **Check internet connection**
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2. **Verify URL is accessible**:
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```bash
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curl -I https://docs.example.com
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```
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3. **Increase timeout**:
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```json
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{
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"timeout": 30 // 30 seconds
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}
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```
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4. **Check rate limiting**:
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```json
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{
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"rate_limit": 1.0 // Slower requests
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}
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```
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### Tests are failing, what should I do?
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**Quick fixes:**
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```bash
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# Ensure package is installed
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pip install -e ".[all-llms,dev]"
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# Clear caches
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rm -rf .pytest_cache/ **/__pycache__/
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# Run specific failing test
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pytest tests/test_file.py::test_name -vv
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# Check for missing dependencies
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pip install -e ".[all-llms,dev]"
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```
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**If still failing:**
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1. Check [Troubleshooting Guide](../TROUBLESHOOTING.md)
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2. Report issue on [GitHub](https://github.com/yusufkaraaslan/Skill_Seekers/issues)
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---
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## MCP Server Questions
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### How do I start the MCP server?
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```bash
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# stdio mode (Claude Code, VS Code + Cline)
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skill-seekers-mcp
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# HTTP mode (Cursor, Windsurf, IntelliJ)
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skill-seekers-mcp --transport http --port 8765
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```
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### What MCP tools are available?
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**18 MCP tools:**
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1. `list_configs` - List preset configurations
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2. `generate_config` - Generate config from docs URL
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3. `validate_config` - Validate config structure
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4. `estimate_pages` - Estimate page count
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5. `scrape_docs` - Scrape documentation
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6. `package_skill` - Package to .zip
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7. `upload_skill` - Upload to platform
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8. `enhance_skill` - AI enhancement
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9. `install_skill` - Complete workflow
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10. `scrape_github` - GitHub analysis
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11. `scrape_pdf` - PDF extraction
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12. `unified_scrape` - Multi-source scraping
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13. `merge_sources` - Merge docs + code
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14. `detect_conflicts` - Find discrepancies
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15. `split_config` - Split large configs
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16. `generate_router` - Generate router skills
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17. `add_config_source` - Register git repos
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18. `fetch_config` - Fetch configs from git
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### How do I configure MCP for Claude Code?
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**Add to `claude_desktop_config.json`:**
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```json
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{
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"mcpServers": {
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"skill-seekers": {
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"command": "skill-seekers-mcp"
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}
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}
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}
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```
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**Restart Claude Code**, then use:
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```
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Use skill-seekers MCP tools to scrape React documentation
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```
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---
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## Advanced Questions
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### Can I use Skill Seekers programmatically?
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Yes! Full API for Python integration:
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```python
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from skill_seekers.cli.doc_scraper import scrape_all, build_skill
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from skill_seekers.cli.adaptors import get_adaptor
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# Scrape documentation
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pages = scrape_all(
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base_url='https://docs.example.com',
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selectors={'main_content': 'article'},
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config={'name': 'example'}
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)
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# Build skill
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skill_path = build_skill(
|
|
config_name='example',
|
|
output_dir='output/example'
|
|
)
|
|
|
|
# Package for platform
|
|
adaptor = get_adaptor('claude')
|
|
package_path = adaptor.package(skill_path, 'output/')
|
|
```
|
|
|
|
**See:** [API Reference](reference/API_REFERENCE.md)
|
|
|
|
### How do I create custom configurations?
|
|
|
|
**Create config file** (`configs/my-framework.json`):
|
|
```json
|
|
{
|
|
"name": "my-framework",
|
|
"description": "My custom framework documentation",
|
|
"base_url": "https://docs.example.com/",
|
|
"selectors": {
|
|
"main_content": "article", // CSS selector
|
|
"title": "h1",
|
|
"code_blocks": "pre code"
|
|
},
|
|
"url_patterns": {
|
|
"include": ["/docs/", "/api/"],
|
|
"exclude": ["/blog/", "/changelog/"]
|
|
},
|
|
"categories": {
|
|
"getting_started": ["intro", "quickstart"],
|
|
"api": ["api", "reference"]
|
|
},
|
|
"rate_limit": 0.5,
|
|
"max_pages": 500
|
|
}
|
|
```
|
|
|
|
**Use config:**
|
|
```bash
|
|
skill-seekers scrape --config configs/my-framework.json
|
|
```
|
|
|
|
### Can I contribute preset configs?
|
|
|
|
Yes! We welcome config contributions:
|
|
|
|
1. **Create config** in `configs/` directory
|
|
2. **Test it** thoroughly:
|
|
```bash
|
|
skill-seekers scrape --config configs/your-framework.json
|
|
```
|
|
3. **Submit PR** on [GitHub](https://github.com/yusufkaraaslan/Skill_Seekers)
|
|
|
|
**Guidelines:**
|
|
- Name: `{framework-name}.json`
|
|
- Include all required fields
|
|
- Add to appropriate category
|
|
- Test with real documentation
|
|
|
|
### How do I debug scraping issues?
|
|
|
|
```bash
|
|
# Verbose output
|
|
skill-seekers scrape --config react --verbose
|
|
|
|
# Dry run (no actual scraping)
|
|
skill-seekers scrape --config react --dry-run
|
|
|
|
# Single page test
|
|
skill-seekers scrape --base-url https://docs.example.com/intro --max-pages 1
|
|
|
|
# Check selectors
|
|
skill-seekers validate-config configs/react.json
|
|
```
|
|
|
|
---
|
|
|
|
## Getting More Help
|
|
|
|
### Where can I find documentation?
|
|
|
|
**Main Documentation:**
|
|
- [README](../README.md) - Project overview
|
|
- [Usage Guide](guides/USAGE.md) - Detailed usage
|
|
- [API Reference](reference/API_REFERENCE.md) - Programmatic usage
|
|
- [Troubleshooting](../TROUBLESHOOTING.md) - Common issues
|
|
|
|
**Guides:**
|
|
- [MCP Setup](guides/MCP_SETUP.md)
|
|
- [Testing Guide](guides/TESTING_GUIDE.md)
|
|
- [Migration Guide](guides/MIGRATION_GUIDE.md)
|
|
- [Quick Reference](QUICK_REFERENCE.md)
|
|
|
|
### How do I report bugs?
|
|
|
|
1. **Check existing issues:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
|
|
2. **Create new issue** with:
|
|
- Skill Seekers version (`skill-seekers --version`)
|
|
- Python version (`python --version`)
|
|
- Operating system
|
|
- Config file (if relevant)
|
|
- Error message and stack trace
|
|
- Steps to reproduce
|
|
|
|
### How do I request features?
|
|
|
|
1. **Check roadmap:** [ROADMAP.md](../ROADMAP.md)
|
|
2. **Create feature request:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
|
|
3. **Join discussions:** https://github.com/yusufkaraaslan/Skill_Seekers/discussions
|
|
|
|
### Is there a community?
|
|
|
|
Yes!
|
|
- **GitHub Discussions:** https://github.com/yusufkaraaslan/Skill_Seekers/discussions
|
|
- **Issue Tracker:** https://github.com/yusufkaraaslan/Skill_Seekers/issues
|
|
- **Project Board:** https://github.com/users/yusufkaraaslan/projects/2
|
|
|
|
---
|
|
|
|
**Version:** 2.7.0
|
|
**Last Updated:** 2026-01-18
|
|
**Questions? Ask on [GitHub Discussions](https://github.com/yusufkaraaslan/Skill_Seekers/discussions)**
|