# ai_repls

> ai_repls — jogardi-ai-repls. Use this tool when you need to manage and interact with Git repositories, automate version control tasks, and streamline collaborative development workflows. It provides a command-line interface for executing Git commands, accepting repository URLs and commit messages as inputs, and producing updated repository states as outputs. Ideal for automating deployment scripts, continuous integration pipelines, and collaborative coding projects.

Canonical page: https://skillsregistry.net/skills/jogardi-ai-repls  
JSON: https://api.skillsregistry.net/v1/skills/jogardi-ai-repls

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/jogardi/ai_repls)

## 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": "jogardi-ai-repls"
    }
  }
}
```

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