# smart-commit

> smart-commit — subhayu99-smart-commit. Use this tool when you need to generate concise and descriptive git commit messages, automating the process of writing meaningful commit notes. It solves the problem of poorly written commit messages by analyzing repository context and suggesting accurate descriptions. The tool takes repository data as input and outputs a well-structured commit message, ideal for use during git commit operations to improve code versioning and collaboration.

Canonical page: https://skillsregistry.net/skills/subhayu99-smart-commit  
JSON: https://api.skillsregistry.net/v1/skills/subhayu99-smart-commit

## Description

An AI-powered git commit message generator with repository context awareness, built with Python and Typer.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/subhayu99/smart-commit)

## 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": "subhayu99-smart-commit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/subhayu99-smart-commit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/subhayu99-smart-commit/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