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.
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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.
Category
πData & AnalyticsWhat Local Rag Search can do for your AI workflow
Efficiently perform web directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,695+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Local Rag Search
Help me get started with Local Rag Search
Explains what Local Rag Search does, walks through the setup, and runs a quick demo based on your current project
Use Local Rag Search to efficiently perform web searches using the mcp-local-rag server wit...
Invokes Local Rag Search with the right parameters and returns the result directly in the conversation
What can I do with Local Rag Search in my data & analytics workflow?
Lists the top use cases for Local Rag Search, with example commands for each scenario
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Local Rag Search extends your AI assistant with the ability to 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. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Local Rag Search as its underlying capability.
Local Rag Search works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Local Rag Search once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Local Rag Search takes about two minutes. Place the skill at `~/.claude/skills/local-rag-search/` (personal, all projects) or `.claude/skills/local-rag-search/` (project-specific), then restart your AI client. From that point, typing `/local-rag-search` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Local Rag Search has been installed 3,695 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/local-rag-search/ for personal use (all projects), or .claude/skills/local-rag-search/ for project-specific use. Restart your AI client, then invoke with /local-rag-search or let the AI discover it automatically.
Local Rag Search supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Local Rag Search is free to install. Check the repository for licensing information.
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.
Automate my data & analytics tasks using Local Rag Search
Identifies repetitive steps in your workflow and sets up Local Rag Search to handle them automatically
Local Rag Search is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.
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