Transform Any Documentation into Claude AI Skills in Minutes
Automatically convert docs, GitHub repos, and PDFs into production-ready skills for Claude AI, Gemini, OpenAI, and more.
$ pip install skill-seekers
What is Skill Seekers?
Skill Seekers is an open-source Python tool that automatically converts documentation websites, GitHub repositories, and PDF files into production-ready AI skills for Claude, Gemini, OpenAI, and other LLM platforms.
The Problem
- × Manually copying documentation into AI chat contexts is tedious and error-prone
- × Large codebases exceed Claude's context window limits
- × AI responses lack framework-specific knowledge and best practices
- × Keeping AI knowledge up-to-date with framework changes is time-consuming
The Solution
- ✓ Automatically scrape and structure documentation from any source
- ✓ Intelligent chunking and categorization for optimal AI consumption
- ✓ AI-enhanced skills with explanations, examples, and best practices
- ✓ One command to generate production-ready skills in 20-40 minutes
10x Faster Development
Stop copying docs manually. Generate comprehensive skills in minutes, not hours.
Framework Expertise
Give Claude deep knowledge of any framework with API references and examples.
Always Up-to-Date
Re-run when docs update. Keep your AI knowledge fresh and accurate.
Comprehensive Feature Set
Everything you need to transform documentation into production-ready AI skills
Three-Stream Analysis
Split GitHub repos into Code (C3.x), Docs, and Insights streams for comprehensive skills
Multi-Source Scraping
Extract from documentation websites, GitHub repositories, and PDF files
AI Enhancement
Automatically add explanations, examples, and best practices using Claude
4 LLM Platforms
Deploy to Claude Projects, Gemini, OpenAI, or export as Markdown
24 Preset Configs
Ready-to-use configs for popular frameworks (React, Vue, Django, etc.)
MCP Integration
Built-in Model Context Protocol support with 27+ tools
700+ Tests
Production-ready with comprehensive test coverage and validation
Zero Manual Work
Fully automated pipeline from source to production-ready skill
20-40 Minutes
Complete skill generation in under an hour, including AI enhancement
+16 more features
Ready to transform your documentation?
Get Started NowGet Started in 3 Steps
From zero to production-ready skill in 20-40 minutes
1. Install
Install from PyPI in seconds
pip install skill-seekers2. Scrape Docs
Use preset configs or create your own
skill-seekers scrape --config react
# Or from URL directly
skill-seekers scrape --url https://react.dev --name react3. Package & Upload
Create .zip and upload to Claude
skill-seekers package output/react/
skill-seekers upload react.zip
# Done! Your skill is ready to useMultiple Installation Options
PyPI (Recommended)
Easiestpip install skill-seekers uv (Modern)
Fastuv tool install skill-seekers From Source
Devgit clone && pip install -e . MCP Integration
5 Agents./setup_mcp.sh Who Uses Skill Seekers?
From solo developers to enterprise teams
For Developers
Create skills from documentation + GitHub repos with automatic conflict detection.
"Build a React skill from official docs + GitHub repo, catch API changes before they surprise you."
For Game Developers
Generate comprehensive skills for game engines like Godot (handles 40K+ pages!).
"Create complete Godot skill covering all topics with intelligent router/hub pattern."
For Teams
Combine internal docs + code repositories into single source of truth.
"Share custom configs via private git repos across 3-500+ team members."
For Learners
Build comprehensive skills from docs, code examples, and PDF tutorials.
"Combine official docs + GitHub examples + PDF manual into one unified learning resource."
For Open Source
Analyze repos to find documentation gaps and outdated examples automatically.
"Detect discrepancies between documentation and actual code implementation."
Multi-Platform Support
Export your skills to multiple LLM platforms with platform-specific optimizations
By the Numbers
Trusted metrics from a production-ready tool
Open source • MIT Licensed • Active development