mcp-skillset Dynamic RAG-powered skills for code assistants via Model Context Protocol (MCP) mcp-skillset is a standalone Python application that provides intelligent, context-aware skills to code assistants through hybrid RAG (vector + knowledge graph). Unlike static skills that load at startup, mcp-skillset enables runtime skill discovery, automatic recommendations based on your project's toolchain, and dynamic loading optimized for your workflow.
| Stars | 11 |
| Forks | 4 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 39.7/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-11 |
| Created | 2025-11-22 |
| Platforms | mcp, python |
| Est. Tokens | ~139k |
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mcp-skillset is Dynamic RAG-powered skills service for code assistants via MCP - Vector + Knowledge Graph hybrid search for intelligent skill discovery. It is categorized as a MCP 服务器 with 11 GitHub stars.
mcp-skillset is primarily written in Python. It covers topics such as chromadb, code-assistant, hybrid-search.
You can find installation instructions and usage details in the mcp-skillset GitHub repository at github.com/bobmatnyc/mcp-skillset. The project has 11 stars and 4 forks, indicating an active community.
mcp-skillset is released under the MIT license, making it free to use and modify according to the license terms.