Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
Skill Seekers is a Python MCP server and CLI tool that ingests documentation websites, GitHub repositories, PDFs, videos, Jupyter notebooks, and over ten other source types, then converts them into structured knowledge assets exportable to multiple AI targets. Running a single `skill-seekers create` command against a URL or local path scrapes and parses the source material, while `skill-seekers package` exports the result to formats including Claude Skills (ZIP plus YAML for Claude Code and the Claude API), LangChain Documents, LlamaIndex TextNodes, Pinecone-ready Markdown, and local vector databases such as ChromaDB and FAISS. The MCP integration exposes 40 tools, enabling Claude Desktop and Claude Code users to trigger ingestion and packaging directly from a conversation. A built-in conflict detection system flags overlapping or contradictory content across sources before packaging. Developers building RAG pipelines, AI coding assistants, or Claude Skills benefit most, and a companion community config repository at skillseekersweb.com offers 24-plus preset configurations for common documentation sources.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add skill-seekers -- python -m skill-seekers{
"mcpServers": {
"skill-seekers": {
"command": "python",
"args": ["-m", "skill-seekers"]
}
}
}MCP Servers overview
<p align="center"> <img src="docs/assets/logo.png" alt="Skill Seekers" width="200"/> </p> # Skill Seekers English | [简体中文](README.zh-CN.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | [Español](README.es.md) | [Français](README.fr.md) | [Deutsch](README.de.md) | [Português](README.pt-BR.md) | [Türkçe](README.tr.md) | [العربية](README.ar.md) | [हिन्दी](README.hi.md) | [Русский](README.ru.md) [](https://github.com/yusufkaraaslan/Skill_Seekers/releases) [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://modelcontextprotocol.io) [](tests/) [](https://pypi.org/project/skill-seekers/) [](https://pypi.org/project/skill-seekers/) [](https://skillseekersweb.com/) [](https://github.com/yusufkaraaslan/Skill_Seekers) [](https://pepy.tech/projects/skill-seekers) <a href="https://trendshift.io/repositories/18329" target="_blank"><img src="https://trendshift.io/api/badge/repositories/18329" alt="yusufkaraaslan%2FSkill_Seekers | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> **🧠 The data layer for AI systems.** Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and more — **18 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). Prepare once, export to **22 targets**. ## 💛 Sponsors <!-- SPONSORS:START --> ### Launch Partner <p align="center"> <a href="https://www.atlascloud.ai/"><img src="docs/assets/sponsors/atlas-cloud.png" alt="Atlas Cloud" width="200"></a><br/><sub><b>Launch Partner</b></sub> </p> [Atlas Cloud](https://www.atlascloud.ai/) — A full-modal, OpenAI-compatible AI inference platform. Skill Seekers supports it as a packaging/enhancement target via `--target atlas` with `ATLAS_API_KEY`. ### Silver Sponsors <p align="center"> <a href="https://www.rapidproxy.io/?utm_source=skillseekers&utm_medium=sponsor"><img src="docs/assets/sponsors/rapidproxy.png" alt="RapidProxy" width="140"></a><br/><sub><b>Sponsor — Silver</b></sub> </p> <!-- SPONSORS:END --> **[Become a sponsor](SPONSORSHIP.md)** · [GitHub Sponsors](https://github.com/sponsors/yusufkaraaslan) --- ## 🚀 Quick Start ```bash # 1. Install pip install skill-seekers # 2. Create a skill from any source skill-seekers create https://docs.djangoproject.com/ # 3. Package it for your AI platform skill-seekers package output/django --target claude ``` You now have `output/django-claude.zip`, ready to use. ```bash # Pick a different AI agent for enhancement (default: claude) skill-seekers create https://docs.djangoproject.com/ --agent kimi skill-seekers create https://docs.djangoproject.com/ --agent-cmd "my-custom-agent run" ``` ### 🛰️ AI-driven project scan Point `scan` at a project and an AI agent reads its manifests, README, Dockerfile/CI and sampled source imports — then emits one config per detected framework, plus a `<project>-codebase.json` for your own code: ```bash skill-seekers scan ./my-react-app --out ./configs/scanned/ # → react.json, vite.json, tailwind.json, jest.json, my-react-app-codebase.json skill-seekers create ./configs/scanned/react.json ``` If a detection has no existing preset, the AI generates a fresh config; on exit you can optionally publish it back to the [community registry](https://github.com/yusufkaraaslan/skill-seekers-configs). ### All 18 source types ```bash skill-seekers create facebook/react # GitHub repository skill-seekers create ./my-project # Local codebase skill-seekers create manual.pdf # PDF skill-seekers create report.docx # Word skill-seekers create book.epub # EPUB skill-seekers create notebook.ipynb # Jupyter skill-seekers create openapi.yaml # OpenAPI/Swagger skill-seekers create presentation.pptx # PowerPoint skill-seekers create guide.adoc # AsciiDoc skill-seekers create page.html # Local HTML (or a whole dir) skill-seekers create feed.rss # RSS/Atom skill-seekers create curl.1 # Man page # Video (YouTube, Vimeo, or local — needs skill-seekers[video]) skill-seekers create --video-url https://www.youtube.com/watch?v=... --name mytutorial skill-seekers create --setup # auto-install GPU-aware visual deps skill-seekers create --space-key TEAM --name wiki # Confluence skill-seekers create --database-id ... --name docs # Notion skill-seekers create --chat-export-path ./slack-export --name team-chat # Slack/Discord ``` See the [Scraping Guide](docs/user-guide/02-scraping.md) for every source type and its options. --- ## 📦 Installation ```bash pip install skill-seekers # Core: scraping, GitHub, PDF, packaging pip install skill-seekers[all-llms] # + every LLM platform pip install skill-seekers[mcp] # + MCP server pip install skill-seekers[all] # Everything ``` **Not sure what you need?** Run the wizard: `skill-seekers-setup` <details> <summary><b>All installation extras</b></summary> | Install | Adds | |---------|------| | `skill-seekers[gemini]` | Google Gemini support | | `skill-seekers[openai]` | OpenAI ChatGPT support | | `skill-seekers[all-llms]` | All LLM platforms | | `skill-seekers[mcp]` | MCP server for Claude Code, Cursor, etc. | | `skill-seekers[video]` | YouTube/Vimeo transcript & metadata extraction | | `skill-seekers[video-full]` | + Whisper transcription & visual frame extraction | | `skill-seekers[jupyter]` | Jupyter Notebook support | | `skill-seekers[pptx]` | PowerPoint support | | `skill-seekers[confluence]` | Confluence wiki support | | `skill-seekers[notion]` | Notion pages support | | `skill-seekers[rss]` | RSS/Atom feed support | | `skill-seekers[chat]` | Slack/Discord chat export support | | `skill-seekers[asciidoc]` | AsciiDoc support | | `skill-seekers[all]` | Everything | > **Video visual deps (GPU-aware):** after installing `skill-seekers[video-full]`, run `skill-seekers create --setup` to auto-detect your GPU and install the matching PyTorch variant + easyocr. </details> **Prerequisites:** Python 3.10+, Git. New here? → **[Bulletproof Quick Start](docs/getting-started/BULLETPROOF_QUICKSTART.md)** 🎯 --- ## 📚 Documentation | I want to... | Read this | |--------------|-----------| | **Get started quickly** | [Quick Start](docs/getting-started/02-quick-start.md) — 3 commands to your first skill | | **Understand the concepts** | [Core Concepts](docs/user-guide/01-core-concepts.md) | | **Scrape sources** | [Scraping Guide](docs/user-guide/02-scraping.md) — all 18 source types | | **Enhance skills with AI** | [Enhancement Guide](docs/user-guide/03-enhancement.md) · [Enhancement Modes](docs/features/ENHANCEMENT_MODES.md) | | **Export skills** | [Packaging Guide](docs/user-guide/04-packaging.md) | | **Build workflows** | [Workflows](docs/user-guide/05-workflows.md) | | **Look up a command** | [CLI Reference](docs/reference/CLI_REFERENCE.md) — all 19 commands | | **Configure** | [Config Format](docs/reference/CONFIG_FORMAT.md) · [Environment Variables](docs/reference/ENVIRONMENT_VARIABLES.md) | | **Set up MCP** | [MCP Setup](docs/guides/MCP_SETUP.md) · [MCP Reference](docs/reference/MCP_REFERENCE.md) | | **Integrate with RAG / IDEs** | [LangChain](docs/integrations/LANGCHAIN.md) · [RAG Pipelines](docs/integrations/RAG_PIPELINES.md) · [Cursor](docs/integrations/CURSOR.md) · [Windsurf](docs/integrations/WINDSURF.md) · [Cline](docs/integrations/CLINE.md) | | **Handle huge doc sets** | [Large Documentation](docs/reference/LARGE_DOCUMENTATION.md) — 10K–40K+ pages | | **Understand the architecture** | [UML Architecture](docs/UML_ARCHITECTURE.md) — 14 diagrams | | **Fix a problem** | [Troubleshooting](docs/user-guide/06-troubleshooting.md) | **Complete documentation index:** [docs/README.md](docs/README.md) --- ## 🎯 What you get | Use case | Output | Powers | |----------|--------|--------| | **AI Skills** | Comprehensive `SKILL.md` + reference files | Claude Code, Gemini, GPT | | **RAG pipelines** | Chunked documents with rich metadata | LangChain, LlamaIndex, Haystack | | **Vector databases** | Pre-formatted data ready for upsert | Pinecone, Chroma, Weaviate, FAISS, Qdrant | | **AI coding assistants** | Context files your IDE AI reads automatically | Cursor, Windsurf, Cline, Continue.dev | ### Export targets (22) ```bash skill-seekers package output/react --target claude # → Claude Skill (ZIP + YAML) skill-seekers package output/react --target langchain # → LangChain Documents skill-seekers package output/react --target llama-index # → LlamaIndex TextNodes skill-seekers package output/react --target ibm-bob # → IBM Bob skill directory ``` **LLM platforms (12):** `claude` · `gemini` · `openai` · `minimax` · `opencode` · `kimi` · `deepseek` · `qwen` · `openrouter` · `together` · `fireworks` · `markdown` **RAG & vector (8):** `langchain` · `llama-index` · `haystack` · `chroma` · `faiss` · `weaviate` · `qdrant` · `pinecone` **Other (2):** `atlas` · `i
What people ask about Skill_Seekers
What is yusufkaraaslan/Skill_Seekers?
+
yusufkaraaslan/Skill_Seekers is mcp servers for the Claude AI ecosystem. Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection It has 15k GitHub stars and its last recorded update is dated 2026-09-06.
How do I install Skill_Seekers?
+
You can install Skill_Seekers by cloning the repository (https://github.com/yusufkaraaslan/Skill_Seekers) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is yusufkaraaslan/Skill_Seekers safe to use?
+
Our security agent has analyzed yusufkaraaslan/Skill_Seekers and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains yusufkaraaslan/Skill_Seekers?
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yusufkaraaslan/Skill_Seekers is maintained by yusufkaraaslan. The last recorded GitHub activity is dated 2026-09-06, with 58 open issues.
Are there alternatives to Skill_Seekers?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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