Use Case
Local Rag Search is a powerful AI agent skill that extends your assistant with new capabilities. Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities. This guide walks you through installing Local Rag Search, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Local Rag Search: npx clawhub@latest --dir ~/.claude/skills install local-rag-search
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger Local Rag Search
Review the output and refine your prompt for better results
Combine Local Rag Search with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Local Rag Search
Help me get started with Local Rag Search
What can Local Rag Search do for my data & analytics workflow?
Show me an example of using Local Rag Search
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install local-rag-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install local-rag-searchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/local-rag-search/π‘Extract and place the folder at the path above, then restart your agent.