A universal data preprocessing layer for AI systems supporting 18 source types, multi-source conflict detection, AI enhancement, and one-click export to 20+ platforms.
Skill Seekers is a universal data preprocessing layer for AI systems, solving the end-to-end problem of acquiring knowledge from heterogeneous sources and transforming it into AI-consumable structured assets.
Data Acquisition (18 source types): Documentation websites (intelligent SPA discovery with llms.txt priority), GitHub repositories (deep AST parsing for Python/JS/TS/Java/C++/Go), local codebases, PDFs (with OCR and table extraction), videos (YouTube/Vimeo/local with transcription and frame OCR), various document formats (.docx/.epub/.pptx/.ipynb/OpenAPI/RSS etc.), and collaboration platforms (Confluence/Notion/Slack/Discord).
Knowledge Processing: Merges multiple sources into a single knowledge asset, automatically detects inconsistencies between documentation and code, and provides rule-based or AI-driven conflict resolution with documentation gap analysis. Defaults to Claude API for generating 500+ line SKILL.md files, with --agent/--agent-cmd options to switch to Kimi, Codex, or custom agents.
Multi-platform Export: 12 LLM Skill formats (Claude ZIP+YAML, Gemini tar.gz, OpenAI ZIP, MiniMax, Kimi, DeepSeek, Qwen, OpenRouter, Together, Fireworks, Generic Markdown), 3 RAG frameworks (LangChain/LlamaIndex/Haystack), 5 vector stores (Pinecone/ChromaDB/FAISS/Qdrant/Weaviate), 4 IDE assistant rules (Cursor/Windsurf/Cline/Continue.dev), and IBM Bob skill directory.
Additional Features: Built-in MCP Server (natural language interaction), embedding server (FastAPI + sentence-transformers + VoyageAI), 24+ framework presets (Godot/React/Vue/Django/FastAPI etc.), Claude Code plugin.
Deployment: Built on Python ≥3.10 with a Click-based CLI (skill-seekers create/package/upload), supporting pip/uv installation, Docker/Docker Compose, Helm Chart (K8s), GitHub Actions, and Homebrew tap. MIT license, current version 3.6.0.
Unconfirmed: First release date not documented; 3,194+ tests coverage not publicly verified; SkillSeekersWeb.com not access-verified; Homebrew install command not shown; S3/GCS/Azure cloud storage upload CLI usage not documented in README.