# code

> code — autonomous-agents-handbook-code. Use this tool when you need to develop and implement autonomous AI agents, as it provides runnable Python architectures and companion repository for "Building Autonomous AI Agents with Claude". It solves problems related to AI agent development, such as designing and testing autonomous systems. The tool takes in Python code and git repository inputs, and outputs functional AI agent architectures.

Canonical page: https://skillsregistry.net/skills/autonomous-agents-handbook-code  
JSON: https://api.skillsregistry.net/v1/skills/autonomous-agents-handbook-code

## Description

Official companion repository and runnable Python architectures for "Building Autonomous AI Agents with Claude".

## Trust

- **Trust score (0–1):** 0.86
- **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/autonomous-agents-handbook/code)

## 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": "autonomous-agents-handbook-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/autonomous-agents-handbook-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/autonomous-agents-handbook-code/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