# mingtu-ai

> mingtu-ai — jmet04-mingtu-ai. Use this tool when you need to streamline AI training through demonstration and correction, solving problems in packaging design workflow and task execution. It takes in user demonstrations, corrections, and reviews as inputs, and outputs a trained AI model capable of executing structured tasks. Ideal for use cases where efficient AI training and packaging design workflow optimization are crucial.

Canonical page: https://skillsregistry.net/skills/jmet04-mingtu-ai  
JSON: https://api.skillsregistry.net/v1/skills/jmet04-mingtu-ai

## Description

An AI apprentice system that allows users to train AI through demonstration, correction, and review, with structured task execution and emphasis on packaging design workflow.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gbrahbhqke)
- **Repository:** <https://github.com/JMET04/ai-apprentice>

## 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": "jmet04-mingtu-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jmet04-mingtu-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jmet04-mingtu-ai/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