# UseAgents

> Use this tool when you need to discover and implement developer tools efficiently, as it fetches tool-specific implementation context and provides relevant information to streamline development processes. It solves problems of tool discovery, implementation, and integration, saving time and reducing errors. With the UseAgents registry as its backbone, it accepts tool names or categories as input and outputs implementation context and usage guidelines.

Canonical page: https://skillsregistry.net/skills/useagents-useagents  
JSON: https://api.skillsregistry.net/v1/skills/useagents-useagents

## Description

Discover developer tools, then fetch tool-specific implementation context before using them. Powered by the UseAgents registry.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/UseAgents/useagents)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "useagents-useagents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/useagents-useagents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/useagents-useagents/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt