Vector Search Workflows
技能 已验证 活跃Vector search indexing and querying workflows using MCP Vector Search, including setup, reindexing, auto-index strategies, and MCP integration.
To streamline and manage vector search indexing and querying workflows for codebases, enabling efficient semantic search capabilities.
功能
- Vector search indexing and setup
- Automatic index management and reindexing
- Semantic search querying
- MCP integration for development environments
- Troubleshooting and status checks
使用场景
- Building semantic search for codebases
- Setting up MCP search tools
- Troubleshooting indexing and reindexing workflows
- Keeping code search data fresh with auto-indexing
非目标
- Managing vector databases other than those supported by mcp-vector-search
- Providing a GUI for search operations
- Complex natural language query understanding beyond semantic search
安装
npx skills add bobmatnyc/claude-mpm-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Embeddings
99Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.
Setup
100Use first for install/update routing — sends setup, doctor, or MCP requests to the correct OMC setup flow
Mcp Setup
100Configure popular MCP servers for enhanced agent capabilities
Context7 Cli
100使用 ctx7 CLI 获取库文档、管理 AI 编码技能并配置 Context7 MCP。当用户提及“ctx7”或“context7”时，需要任何库的当前文档、希望安装/搜索/生成技能，或需要为 AI 编码代理设置 Context7 时激活。
Treat
100修剪臃肿的会话，附带处方。移除进度标记、陈旧读取、重复内容等。
Embedding Strategies
100Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.