Use Case
RAG Search is a powerful AI agent skill that extends your assistant with new capabilities. Backend retrieval skill for structured search of occupational health standards and documents, returning relevant text with source and clause details. This guide walks you through installing RAG Search, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install RAG Search: npx clawhub@latest --dir ~/.claude/skills install rag-search
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger RAG Search
Review the output and refine your prompt for better results
Combine RAG Search with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing RAG Search
Help me get started with RAG Search
What can RAG Search do for my data & analytics workflow?
Show me an example of using RAG Search
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install rag-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install 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/rag-search/π‘Extract and place the folder at the path above, then restart your agent.