What problem does it solve? Turning scattered knowledge sources like documentation sites, GitHub repos, PDFs, and videos into structured AI skills requires manual scraping, formatting, and packaging. This Skill automates that entire pipeline through the Skill Seekers MCP server or its CLI fallback. ## Core Features & Use Cases - Automatic Source Detection: Identifies whether input is a documentation URL, GitHub repo, PDF, video, local codebase, or other format and routes it to the correct scraping tool. - End-to-End Skill Pipeline: Generates configs, scrapes content, enhances output with AI, and packages skills for platforms like Claude, Gemini, OpenAI, and LangChain. - Vector Database Export: Exports generated skills to Weaviate, Chroma, FAISS, or Qdrant for retrieval workflows. - Use Case: A developer wants to give their AI assistant deep knowledge of a framework. They provide the framework's documentation URL, and this Skill scrapes the site, builds a structured skill, and packages it for their platform. ## Quick Start Create a skill from the documentation at https://docs.example.com and package it for Claude.
