auto-commit

Generate structured Git commit messages from code diffs and session context.

368|111|Updated Aug 30, 2025
One-click install
npx skills add https://github.com/Kiyoraka/Project-AI-MemoryCore --skill auto-commit-kiyoraka
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-commit
Source: https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Auto-Commit-System
Command: npx skills add https://github.com/Kiyoraka/Project-AI-MemoryCore --skill auto-commit-kiyoraka

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of creating meaningful, structured Git commit messages, ensuring that code changes are always documented with full context, preventing data loss and improving project history readability.

Core Features & Use Cases

  • Structured Commit Messages: Generates commits with configurable sections like 'TECHNICAL CHANGES' and 'SESSION CONTEXT'.
  • Intelligent Change Analysis: Analyzes code diffs to draft relevant commit messages.
  • Vigilant Mode: Proactively checks for and commits uncommitted changes after tasks are completed.
  • Use Case: After developing a new feature, the AI automatically analyzes the code, drafts a commit message detailing the technical changes and session context (e.g., project, time spent), and commits it, ensuring no work is lost.

Quick Start

Use the auto-commit skill to save your current code changes to git history.

Frequently Asked Questions about auto-commit

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

FAQPage Schema
How do I generate structured Git commit messages automatically?

Automate Git commits by analyzing code changes and session context to generate structured commit messages. This ensures code changes are documented with full context, preventing data loss and improving project history readability.

How do I automate commits after task completion in version control?

Use vigilant mode to automate commits after task completion. It proactively checks for uncommitted changes and commits them with full context, ensuring no work is lost after a feature is developed.

Does the automatic commit generation require a specific environment?

Yes, the automatic commit generation requires Git to be initialized in the project directory. This allows the tool to analyze code diffs and manage the version control process.

How does intelligent change analysis work for drafting commits?

Intelligent change analysis works by examining code diffs to draft relevant commit messages. It automatically identifies technical changes and session context to create meaningful documentation for your project history.

What is the best way to prevent data loss during code development?

Prevent data loss during code development by automating the creation of structured Git commit messages. This ensures all code changes are documented with full context immediately after tasks are completed.