Detailed Introduction
Skill Seeker is an open-source tool that scrapes documentation sites, GitHub repositories, and PDFs, then enhances and packages them into Claude-ready skill ZIP files. It includes deep code analysis (AST), conflict detection between docs and implementation, and local enhancement options (no API cost). MCP integration enables direct use within Claude Code.
Main Features
- Multi-source scraping: unified extraction from docs, repos, and PDFs.
- Conflict detection: highlights discrepancies between documentation and code.
- AI enhancement: local or API-based enrichment of SKILL.md with examples.
- Packaging & upload: produces a ZIP ready for Claude skill upload.
Use Cases
- Quickly create skills for frameworks or libraries (React, Django, Godot, etc.).
- Consolidate internal docs and repositories into team-facing AI assistants.
- Education and reference: generate searchable learning artifacts from examples.
Technical Features
- Language: Python (3.10+), CLI and optional MCP server.
- Performance: async and parallel scraping for large docbases (10k+ pages).
- Extensibility: presets for common frameworks and user-configurable scraping rules.