Verified project record

yusufkaraaslan/Skill_Seekers

Converts documentation sites, GitHub repositories, PDFs, and video sources into structured AI skills, with automatic conflict detection during creation. It supports multiple LLM platforms, vector databases, and AI coding agents through local execution.

Project overview

Enables developers and AI engineers to transform multi-source content into reusable AI skills while detecting conflicts automatically during generation.

Project type: MCP · AI Agent · RAG · Prompt Engineering
Use cases: Knowledge Q&A
Deployment: Refer to project documentation
License: MIT

Best for

Developers and AI engineers who need to automate the conversion of multi-source content into structured AI skills for various LLM platforms and coding agents.

Key capabilities

Converts documentation sites, GitHub repos, and PDFs into Claude AI skills.
Detects conflicts automatically during skill creation.
Splits GitHub repos into Code, Docs, and Insights streams for comprehensive analysis.
Provides basic (1-2 min) or c3x (20-60 min) deep code analysis of local or remote codebases.
Manages multiple GitHub tokens with smart fallback chains, interactive wizards, and profile switching.
Automatically installs generated skills to 19 AI coding agents.
Ships a FastMCP server exposing 40 tools for use by AI clients.
Extracts text from scanned PDFs using OCR dependencies.

Limitations and risks

Subject to GitHub API rate limits (60/hour without authentication vs 5000/hour with authentication).
Comprehensive code analysis with AI can take 20-60 minutes to complete.

Getting started

Install via pip using 'pip install skill-seekers' and run a first success path such as 'skill-seekers scan tests/ --quick'. A one-command setup for visual dependencies is also provided.

Alternatives and comparisons

Provides an open-source API layer following the Claude API model, turning local models into production AI applications without rebuilding backend primitives or depending on cloud APIs.
Scrape anything and use that knowledge anywhere for RAG, including crawling websites, storing content in a vector database, and performing RAG over the crawled content.
An autonomous, self-maintaining personal Wikipedia built by AI that transforms documents, notes, and web clippings into a permanent knowledge base with cross-linking, graph viewing, and citations.

Project comparisons

Evidence and sources

GitHub project description: Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
README: pip install skill-seekers
README: pip install skill-seekers[gemini]
README: pip install skill-seekers[openai]
README: pip install skill-seekers[minimax]

Reviewed at: 2026-07-17T23:01:29Z

Open original GitHub project