by yusufkaraaslan · MCP 服务器 · ★ 15.1k
Skill Seekers English | 简体中文 🧠 The data layer for AI systems. Skill Seekers turns any documentation, GitHub repo, PDF, or video 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.
| Stars | 15,059 |
| Forks | 1,537 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 65.2116580997002/100 |
| Open Issues | 47 |
| Last Updated | 2026-09-30 |
| Created | 2025-10-17 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~24k |
These tools work well together with Skill_Seekers for enhanced workflows:
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Skill_Seekers is Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection. It is categorized as a MCP 服务器 with 15.1k GitHub stars.
Skill_Seekers is primarily written in Python. It covers topics such as ai-tools, ast-parser, automation.
You can find installation instructions and usage details in the Skill_Seekers GitHub repository at github.com/yusufkaraaslan/Skill_Seekers. The project has 15.1k stars and 1537 forks, indicating an active community.
Skill_Seekers is released under the MIT license, making it free to use and modify according to the license terms.