# agent-directory

> Use this tool when you need to discover and access various AI agent services, as it provides a centralized directory for exploring and utilizing their capabilities. The agent-directory solves problems of service discovery and integration, allowing users to easily find and leverage AI agents for specific tasks. It accepts queries and keywords as inputs and returns relevant agent services and their descriptions as outputs.

Canonical page: https://skillsregistry.net/skills/aerialcombat-agent-directory  
JSON: https://api.skillsregistry.net/v1/skills/aerialcombat-agent-directory

## Description

The directory for AI agent services.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/aerialcombat-agent-directory)

## 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": "aerialcombat-agent-directory"
    }
  }
}
```

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