The official search utility for Agnxi.com - The premier directory of AI Agent Tools, MCP Servers, and Skills.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install agnxi-search-skillOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install agnxi-search-skillβ 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/agnxi-search-skill/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Agent Skills Search can do for your AI workflow
Official search utility directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,633+ 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 Agent Skills Search
Help me get started with Agent Skills Search
Explains what Agent Skills Search does, walks through the setup, and runs a quick demo based on your current project
Use Agent Skills Search to the official search utility for Agnxi
Invokes Agent Skills Search with the right parameters and returns the result directly in the conversation
What can I do with Agent Skills Search in my data & analytics workflow?
Lists the top use cases for Agent Skills Search, with example commands for each scenario
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Agent Skills Search extends your AI assistant with the ability to the official search utility for Agnxi.com - The premier directory of AI Agent Tools, MCP Servers, and Skills. 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 Agent Skills Search as its underlying capability.
Agent Skills 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 Agent Skills 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.
To install Agent Skills Search, copy the skill folder to `~/.claude/skills/agnxi-search-skill/` for use across all your projects, or `.claude/skills/agnxi-search-skill/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/agnxi-search-skill` or just describe your goal and the AI will pick it up automatically.
Agent Skills Search has been installed 3,633 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. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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/agnxi-search-skill/ for personal use (all projects), or .claude/skills/agnxi-search-skill/ for project-specific use. Restart your AI client, then invoke with /agnxi-search-skill or let the AI discover it automatically.
Agent Skills Search supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Agent Skills Search is free to install. Check the repository for licensing information.
The official search utility for Agnxi.com - The premier directory of AI Agent Tools, MCP Servers, and Skills.
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