Use Case
Local Rag Search isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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 covers how to deploy Local Rag Search for your team, standardize prompts, and create shared workflows that everyone can use.
Install Local Rag Search in your project directory: .claude/skills/local-rag-search/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Local Rag Search in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Local Rag Search
How can my team use Local Rag Search together?
Set up Local Rag Search for our project so everyone can use it
Create a shared workflow using Local Rag Search for our team
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.