auto-commit

Generate git commit messages from staged changes using Ollama local models.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/takemo101/auto-commit --skill auto-commit-takemo101
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-commit
Source: https://github.com/takemo101/auto-commit/tree/main
Command: npx skills add https://github.com/takemo101/auto-commit --skill auto-commit-takemo101

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Automates the creation of meaningful git commit messages by analyzing staged changes, reducing manual effort and errors.

Core Features & Use Cases

  • Automated Commit Messaging: Uses Ollama local LLM to generate commit messages based on staged diffs.
  • Workflow Integration: Easily integrates into git workflows via shell scripts, supporting language and model options.
  • Use Case: Developers can quickly generate consistent commit messages for large changes, improving version history clarity.

Quick Start

Run the script to automatically generate and optionally review a commit message for your staged changes.

Frequently Asked Questions about auto-commit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically generate git commit messages from staged changes?

You can automatically generate git commit messages from staged changes by running a shell script that analyzes your code diffs and passes them to a local language model to produce consistent commit text.

Can I use a local LLM to write git commit messages for my code diffs?

Yes, you can use a local LLM like Ollama to write git commit messages by feeding your staged git diffs into the model, which then generates a suggested message based on the actual code modifications.

What do I need to set up before auto-generating commit messages with local AI?

You need to have both git and Ollama properly installed and configured on your local development machine before running the script to analyze staged changes and generate the commit text.

How does AI-generated commit messaging improve version control workflows?

AI-generated commit messaging improves version control workflows by reducing manual effort and errors, ensuring consistent formatting across large code changes, and enhancing overall project documentation clarity for code review.

Are there limitations when using local language models for git commit automation?

The primary limitation of using local language models for git commit automation is the dependency on local hardware performance to run Ollama, and users should review the generated messages before committing to ensure accuracy.