Skill Seekers converts documentation websites, GitHub repositories and PDFs into ready-to-use Claude AI skills, complete with automatic conflict detection. The open-source tool has more than 15,100 stars on GitHub and was actively updated in 2026.
Claude skills are only as good as the material packed into them, and assembling that material by hand is slow. Skill Seekers automates the pipeline: it scrapes and structures documentation sites, analyzes repositories down to the code’s abstract syntax tree, extracts text from PDFs with OCR support, and packages everything into a well-organized skill. When multiple skills cover overlapping ground, its conflict detection flags the collisions before they confuse your assistant. It runs as a Python CLI and also ships an MCP server exposing around 40 tools, so agents can drive the conversion themselves.
In daily use the flow is deliberately simple: install the package from PyPI, point the create command at a documentation site, repository or PDF, and Skill Seekers detects the source type, extracts and organizes the content, and emits a structured skill with a main SKILL.md file plus categorized reference material. A detect command previews how a source will be handled before anything is generated. Because skills are a portable format, the same pipeline serves individuals stocking their personal Claude setup and organizations converting internal engineering documentation into assistant-ready knowledge.
Skill Seekers is free and open source under the MIT license. You run the conversions locally; any AI costs are only those of the Claude usage the finished skills support.
Claude power users, development teams packaging internal documentation for AI assistants, and tool builders creating skill libraries for specific frameworks.