# mingmai

> mingmai — wally-an-mingmai. Use this tool when you need to integrate AI agents with a headless IDE for seamless development and version control. The mingmai tool solves problems related to automated coding, testing, and collaboration, accepting Git inputs and producing executable code outputs. It is ideal for use cases involving continuous integration, automated deployment, and AI-driven development workflows.

Canonical page: https://skillsregistry.net/skills/wally-an-mingmai  
JSON: https://api.skillsregistry.net/v1/skills/wally-an-mingmai

## Description

Headless IDE for AI agents

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/wally-an/mingmai)

## 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": "wally-an-mingmai"
    }
  }
}
```

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