# ai-engineer-agentic-track

> ai-engineer-agentic-track — jarif87-ai-engineer-agentic-track. Use this tool when you need to manage and track AI engineering projects, particularly those involving Git version control. It solves problems related to project organization, collaboration, and change management, providing a centralized interface for tracking progress and updates. Ideal for use in software development, data science, and machine learning contexts where Git is utilized.

Canonical page: https://skillsregistry.net/skills/jarif87-ai-engineer-agentic-track  
JSON: https://api.skillsregistry.net/v1/skills/jarif87-ai-engineer-agentic-track

## Trust

- **Trust score (0–1):** 0.88
- **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/jarif87/ai-engineer-agentic-track)

## 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": "jarif87-ai-engineer-agentic-track"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jarif87-ai-engineer-agentic-track` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jarif87-ai-engineer-agentic-track/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