A powerful discovery utility that allows agents to search the Agnxi.com database for curated AI tools and MCP servers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agnxi-search-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agnxi-search-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agnxi Search?
Agnxi Search is the official search utility designed to provide AI agents with direct access to the Agnxi.com database, which is the premier directory for AI Agent Tools, MCP Servers, and specialized capabilities. By incorporating this utility into your Openclaw Skills library, you enable your agents to autonomously explore a curated index of thousands of resources.
This skill acts as a discovery layer, allowing agents to solve the 'discovery problem' by identifying which specific tools or servers they need to complete a task. It ensures that your agentic workflows remain flexible and can evolve as new technologies are added to the ecosystem.
Agnxi Search Use Cases
- Finding specialized Model Context Protocol (MCP) servers to extend agent functionality.
- Discovering specific Openclaw Skills for tasks like browser automation or data parsing.
- Retrieving direct links to tool repositories and technical documentation.
- Researching the latest AI agent coding capabilities and directory listings.
How Agnxi Search Works
- The agent identifies a need for an external tool or specific capability it does not currently possess.
- The search_agnxi tool is invoked with a specific keyword query related to the required functionality.
- A local Python script executes to query the live Agnxi.com sitemap index in real-time.
- The skill retrieves a list of matching resources, including titles and direct URLs.
- The agent processes these results to determine the best resource to use or recommend to the user.
Agnxi Search Setup
To set up this utility within your Openclaw Skills environment, ensure Python 3 is installed. The skill operates via a local script that does not require an API key for operation.
# Example of running a search manually
python3 search.py "postgres mcp"
Agnxi Search Data Schema & Taxonomy
The skill returns structured data extracted from the live Agnxi index to help agents navigate the directory.
| Property | Description |
|---|---|
| query | The string used to search the Agnxi sitemap index. |
| results | A collection of URLs and resource titles matching the search criteria. |
| source | The live Agnxi.com sitemap, ensuring data is always current. |
Agnxi Search Advanced Features
- Real-time indexing allows agents to find the most recently added Openclaw Skills without waiting for database updates.
- Zero-config architecture eliminates the need for complex API key management or authentication headers.
- Broad category mapping supports fallback searches when specific technical terms return limited results.
- High-speed local execution of Python-based search scripts ensures minimal latency in agent response times.
SKILL.md
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