# aifirst

> Use this tool when you need to leverage AI capabilities in conjunction with Git version control, solving problems related to automated code management and optimization. It provides an interface for integrating AI-driven insights with Git workflows, accepting inputs such as code repositories and configuration files, and outputting optimized code and commit histories. Ideal for use cases involving automated coding, code review, and project management, aifirst streamlines development processes and enhances collaboration.

Canonical page: https://skillsregistry.net/skills/pertrelly-aifirst  
JSON: https://api.skillsregistry.net/v1/skills/pertrelly-aifirst

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/pertrelly/aifirst)

## 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": "pertrelly-aifirst"
    }
  }
}
```

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