Skill_Seekers

About Skill_Seekers

The data layer for AI systems. Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and 10+ more source types into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours.

Skill Seekers is the universal preprocessing layer that sits between raw documentation and every AI system that consumes it. Whether you are building Claude skills, a LangChain RAG pipeline, or a Cursor .cursorrules file — the data preparation is identical. You do it once, and export to all targets.

Point scan at any project and an AI agent reads its manifests, README, Dockerfile/CI and sampled source imports — then emits one config per detected framework plus a -codebase.json for your own code. Pins the detected version so re-running reports bumps:

From the project's README

Skill_Seekers is an open-source project written primarily in Python, with 14k stars on GitHub. It was last updated in July 2026.