# seat

> seat — alexmar07-seat. Use this tool when you need to automate agent development and extend their capabilities. The Self-Extending Agent Toolkit (SEAT) solves problems of limited agent functionality by enabling agents to build their own tools, accepting inputs from git repositories and outputting customized agent extensions. It is ideal for use cases where agents require dynamic adaptation to new tasks or environments.

Canonical page: https://skillsregistry.net/skills/alexmar07-seat  
JSON: https://api.skillsregistry.net/v1/skills/alexmar07-seat

## Description

Self-Extending Agent Toolkit - agents that build their own tools

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alexmar07/seat)

## 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": "alexmar07-seat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexmar07-seat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexmar07-seat/pull`

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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