# Frequently Asked Questions (FAQ) **Version:** 2.7.0 **Last Updated:** 2026-01-18 --- ## General Questions ### What is Skill Seekers? 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. **Use Cases:** - Create custom documentation skills for your favorite frameworks - Analyze GitHub repositories and extract code patterns - Convert PDF manuals into searchable AI skills - Combine multiple sources (docs + code + PDFs) into unified skills ### Which platforms are supported? **Supported Platforms (4):** 1. **Claude AI** - ZIP format with YAML frontmatter 2. **Google Gemini** - tar.gz format for Grounded Generation 3. **OpenAI ChatGPT** - ZIP format for Vector Stores 4. **Generic Markdown** - ZIP format with markdown files Each platform has a dedicated adaptor for optimal formatting and upload. ### Is it free to use? **Tool:** Yes, Skill Seekers is 100% free and open-source (MIT license). **API Costs:** - **Scraping:** Free (just bandwidth) - **AI Enhancement (API mode):** ~$0.15-0.30 per skill (Claude API) - **AI Enhancement (LOCAL mode):** Free! (uses your Claude Code Max plan) - **Upload:** Free (platform storage limits apply) **Recommendation:** Use LOCAL mode for free AI enhancement or skip enhancement entirely. ### How long does it take to create a skill? **Typical Times:** - Documentation scraping: 5-45 minutes (depends on size) - GitHub analysis: 1-5 minutes (basic) or 20-60 minutes (C3.x deep analysis) - PDF extraction: 30 seconds - 5 minutes - AI enhancement: 30-60 seconds (LOCAL or API mode) - Total workflow: 10-60 minutes **Speed Tips:** - Use `--async` for 2-3x faster scraping - Use `--skip-scrape` to rebuild without re-scraping - Skip AI enhancement for faster workflow --- ## Installation & Setup ### How do I install Skill Seekers? ```bash # Basic installation pip install skill-seekers # With all platform support pip install skill-seekers[all-llms] # Development installation git clone https://github.com/yusufkaraaslan/Skill_Seekers.git cd Skill_Seekers pip install -e ".[all-llms,dev]" ``` ### What Python version do I need? **Required:** Python 3.10 or higher **Tested on:** Python 3.10, 3.11, 3.12, 3.13 **OS Support:** Linux, macOS, Windows (WSL recommended) **Check your version:** ```bash python --version # Should be 3.10+ ``` ### Why do I get "No module named 'skill_seekers'" error? **Common Causes:** 1. Package not installed 2. Wrong Python environment **Solutions:** ```bash # Install package pip install skill-seekers # Or for development pip install -e . # Verify installation skill-seekers --version ``` ### How do I set up API keys? ```bash # Claude AI (for enhancement and upload) export ANTHROPIC_API_KEY=sk-ant-... # Google Gemini (for upload) export GOOGLE_API_KEY=AIza... # OpenAI ChatGPT (for upload) export OPENAI_API_KEY=sk-... # GitHub (for higher rate limits) export GITHUB_TOKEN=ghp_... # Make permanent (add to ~/.bashrc or ~/.zshrc) echo 'export ANTHROPIC_API_KEY=sk-ant-...' >> ~/.bashrc ``` --- ## Usage Questions ### How do I scrape documentation? **Using preset config:** ```bash skill-seekers scrape --config react ``` **Using custom URL:** ```bash skill-seekers scrape --base-url https://docs.example.com --name my-framework ``` **From custom config file:** ```bash skill-seekers scrape --config configs/my-framework.json ``` ### Can I analyze GitHub repositories? Yes! Skill Seekers has powerful GitHub analysis: ```bash # Basic analysis (fast) skill-seekers github https://github.com/facebook/react # Deep C3.x analysis (includes patterns, tests, guides) skill-seekers github https://github.com/vercel/next.js --analysis-depth c3x ``` **C3.x Features:** - Design pattern detection (10 GoF patterns) - Test example extraction - How-to guide generation - Configuration pattern extraction - Architectural overview - API reference generation ### Can I extract content from PDFs? Yes! PDF extraction with OCR support: ```bash # Basic PDF extraction skill-seekers pdf manual.pdf --name product-manual # With OCR (for scanned PDFs) skill-seekers pdf scanned.pdf --enable-ocr # Extract images and tables skill-seekers pdf document.pdf --extract-images --extract-tables ``` ### Can I combine multiple sources? Yes! Unified multi-source scraping: **Create unified config** (`configs/unified/my-framework.json`): ```json { "name": "my-framework", "sources": { "documentation": { "type": "docs", "base_url": "https://docs.example.com" }, "github": { "type": "github", "repo_url": "https://github.com/org/repo" }, "pdf": { "type": "pdf", "pdf_path": "manual.pdf" } } } ``` **Run unified scraping:** ```bash skill-seekers unified --config configs/unified/my-framework.json ``` ### How do I upload skills to platforms? ```bash # Upload to Claude AI export ANTHROPIC_API_KEY=sk-ant-... skill-seekers upload output/react-claude.zip --target claude # Upload to Google Gemini export GOOGLE_API_KEY=AIza... skill-seekers upload output/react-gemini.tar.gz --target gemini # Upload to OpenAI ChatGPT export OPENAI_API_KEY=sk-... skill-seekers upload output/react-openai.zip --target openai ``` **Or use complete workflow:** ```bash skill-seekers install react --target claude --upload ``` --- ## Platform-Specific Questions ### What's the difference between platforms? | Feature | Claude AI | Google Gemini | OpenAI ChatGPT | Markdown | |---------|-----------|---------------|----------------|----------| | Format | ZIP + YAML | tar.gz | ZIP | ZIP | | Upload API | Projects API | Corpora API | Vector Stores | N/A | | Model | Sonnet 4.5 | Gemini 2.0 Flash | GPT-4o | N/A | | Max Size | 32MB | 10MB | 512MB | N/A | | Use Case | Claude Code | Grounded Gen | ChatGPT Custom | Export | **Choose based on:** - Claude AI: Best for Claude Code integration - Google Gemini: Best for Grounded Generation in Gemini - OpenAI ChatGPT: Best for ChatGPT Custom GPTs - Markdown: Generic export for other tools ### Can I use multiple platforms at once? Yes! Package and upload to all platforms: ```bash # Package for all platforms for platform in claude gemini openai markdown; do skill-seekers package output/react/ --target $platform done # Upload to all platforms skill-seekers install react --target claude,gemini,openai --upload ``` ### How do I use skills in Claude Code? 1. **Install skill to Claude Code directory:** ```bash skill-seekers install-agent --skill-dir output/react/ --agent-dir ~/.claude/skills/react ``` 2. **Use in Claude Code:** ``` Use the react skill to explain React hooks ``` 3. **Or upload to Claude AI:** ```bash skill-seekers upload output/react-claude.zip --target claude ``` --- ## Features & Capabilities ### What is AI enhancement? AI enhancement transforms basic skills (2-3/10 quality) into production-ready skills (8-9/10 quality) using LLMs. **Two Modes:** 1. **API Mode:** Direct Claude API calls (fast, costs ~$0.15-0.30) 2. **LOCAL Mode:** Uses Claude Code CLI (free with your Max plan) **What it improves:** - Better organization and structure - Clearer explanations - More examples and use cases - Better cross-references - Improved searchability **Usage:** ```bash # API mode (if ANTHROPIC_API_KEY is set) skill-seekers enhance output/react/ # LOCAL mode (free!) skill-seekers enhance output/react/ --mode LOCAL # Background mode skill-seekers enhance output/react/ --background skill-seekers enhance-status output/react/ --watch ``` ### What are C3.x features? C3.x features are advanced codebase analysis capabilities: - **C3.1:** Design pattern detection (Singleton, Factory, Strategy, etc.) - **C3.2:** Test example extraction (real usage examples from tests) - **C3.3:** How-to guide generation (educational guides from test workflows) - **C3.4:** Configuration pattern extraction (env vars, config files) - **C3.5:** Architectural overview (system architecture analysis) - **C3.6:** AI enhancement (Claude API integration for insights) - **C3.7:** Architectural pattern detection (MVC, MVVM, Repository, etc.) - **C3.8:** Standalone codebase scraping (300+ line SKILL.md from code alone) **Enable C3.x:** ```bash # All C3.x features enabled by default skill-seekers codebase --directory /path/to/repo # Skip specific features skill-seekers codebase --directory . --skip-patterns --skip-how-to-guides ``` ### What are router skills? Router skills help Claude navigate large documentation (>500 pages) by providing a table of contents and keyword index. **When to use:** - Documentation with 500+ pages - Complex multi-section docs - Large API references **Generate router:** ```bash skill-seekers generate-router output/large-docs/ ``` ### What preset configurations are available? **24 preset configs:** - Web: react, vue, angular, svelte, nextjs - Python: django, flask, fastapi, sqlalchemy, pytest - Game Dev: godot, pygame, unity - DevOps: docker, kubernetes, terraform, ansible - Unified: react-unified, vue-unified, nextjs-unified, etc. **List all:** ```bash skill-seekers list-configs ``` --- ## Troubleshooting ### Scraping is very slow, how can I speed it up? **Solutions:** 1. **Use async mode** (2-3x faster): ```bash skill-seekers scrape --config react --async ``` 2. **Increase rate limit** (faster requests): ```json { "rate_limit": 0.1 // Faster (but may hit rate limits) } ``` 3. **Limit pages**: ```json { "max_pages": 100 // Stop after 100 pages } ``` ### Why are some pages missing? **Common Causes:** 1. **URL patterns exclude them** 2. **Max pages limit reached** 3. **BFS didn't reach them** **Solutions:** ```bash # Check URL patterns in config { "url_patterns": { "include": ["/docs/"], // Make sure your pages match "exclude": [] // Remove overly broad exclusions } } # Increase max pages { "max_pages": 1000 // Default is 500 } # Use verbose mode to see what's being scraped skill-seekers scrape --config react --verbose ``` ### How do I fix "NetworkError: Connection failed"? **Solutions:** 1. **Check internet connection** 2. **Verify URL is accessible**: ```bash curl -I https://docs.example.com ``` 3. **Increase timeout**: ```json { "timeout": 30 // 30 seconds } ``` 4. **Check rate limiting**: ```json { "rate_limit": 1.0 // Slower requests } ``` ### Tests are failing, what should I do? **Quick fixes:** ```bash # Ensure package is installed pip install -e ".[all-llms,dev]" # Clear caches rm -rf .pytest_cache/ **/__pycache__/ # Run specific failing test pytest tests/test_file.py::test_name -vv # Check for missing dependencies pip install -e ".[all-llms,dev]" ``` **If still failing:** 1. Check [Troubleshooting Guide](../TROUBLESHOOTING.md) 2. Report issue on [GitHub](https://github.com/yusufkaraaslan/Skill_Seekers/issues) --- ## MCP Server Questions ### How do I start the MCP server? ```bash # stdio mode (Claude Code, VS Code + Cline) skill-seekers-mcp # HTTP mode (Cursor, Windsurf, IntelliJ) skill-seekers-mcp --transport http --port 8765 ``` ### What MCP tools are available? **18 MCP tools:** 1. `list_configs` - List preset configurations 2. `generate_config` - Generate config from docs URL 3. `validate_config` - Validate config structure 4. `estimate_pages` - Estimate page count 5. `scrape_docs` - Scrape documentation 6. `package_skill` - Package to .zip 7. `upload_skill` - Upload to platform 8. `enhance_skill` - AI enhancement 9. `install_skill` - Complete workflow 10. `scrape_github` - GitHub analysis 11. `scrape_pdf` - PDF extraction 12. `unified_scrape` - Multi-source scraping 13. `merge_sources` - Merge docs + code 14. `detect_conflicts` - Find discrepancies 15. `split_config` - Split large configs 16. `generate_router` - Generate router skills 17. `add_config_source` - Register git repos 18. `fetch_config` - Fetch configs from git ### How do I configure MCP for Claude Code? **Add to `claude_desktop_config.json`:** ```json { "mcpServers": { "skill-seekers": { "command": "skill-seekers-mcp" } } } ``` **Restart Claude Code**, then use: ``` Use skill-seekers MCP tools to scrape React documentation ``` --- ## Advanced Questions ### Can I use Skill Seekers programmatically? Yes! Full API for Python integration: ```python from skill_seekers.cli.doc_scraper import scrape_all, build_skill from skill_seekers.cli.adaptors import get_adaptor # Scrape documentation pages = scrape_all( base_url='https://docs.example.com', selectors={'main_content': 'article'}, config={'name': 'example'} ) # Build skill 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)**