Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
# Add to your Claude Code skills
git clone https://github.com/yusufkaraaslan/Skill_SeekersGuides for using mcp servers skills like Skill_Seekers.
Last scanned: 4/17/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-04-17T06:04:52.146Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": false
}Skill_Seekers is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by yusufkaraaslan. Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection. It has 14,813 GitHub stars.
Yes. Skill_Seekers passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/yusufkaraaslan/Skill_Seekers" and add it to your Claude Code skills directory (see the Installation section above).
Skill_Seekers is primarily written in Python. It is open-source under yusufkaraaslan on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Skill_Seekers against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
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🧠 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.
Atlas Cloud — A full-modal, OpenAI-compatible AI inference platform. Skill Seekers supports it as a packaging/enhancement target via --target atlas with ATLAS_API_KEY.
Become a sponsor · GitHub Sponsors
# 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.
# 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"
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:
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.
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 for every source type and its options.
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
| 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], runskill-seekers create --setupto auto-detect your GPU and install the matching PyTorch variant + easyocr.
Prerequisites: Python 3.10+, Git. New here? → Bulletproof Quick Start 🎯
| I want to... | Read this |
|---|---|
| Get started quickly | Quick Start — 3 commands to your first skill |
| Understand the concepts | Core Concepts |
| Scrape sources | Scraping Guide — all 18 source types |
| Enhance skills with AI | Enhancement Guide · Enhancement Modes |
| Export skills | Packaging Guide |
| Build workflows | Workflows |
| Look up a command | CLI Reference — all 19 commands |
| Configure | Config Format · Environment Variables |
| Set up MCP | MCP Setup · MCP Reference |
| Integrate with RAG / IDEs | LangChain · RAG Pipelines · Cursor · Windsurf · Cline |
| Handle huge doc sets | Large Documentation — 10K–40K+ pages |
| Understand the architecture | UML Architecture — 14 diagrams |
| Fix a problem | Troubleshooting |
Complete documentation index: docs/README.md
| 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 |
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