What are Conventional Commits?

Conventional Commits is a specification for adding human and machine-readable meaning to commit messages, using prefixes like feat, fix, and chore to describe the intent of the change.

Does it add 'Generated by AI' to my commit messages?

No, this skill is strictly configured to avoid AI attribution footers or fluff, ensuring your commit log looks like it was written by a professional human engineer.

Can I review the commits before they are finalized?

Yes. The skill uses a confidence model where high-confidence changes are automated, while medium and low-confidence changes are presented for human approval.

How does it handle large, complex diffs?

For diffs exceeding 500 lines, the skill suggests reviewing changes in smaller chunks to maintain accuracy and ensure each commit remains focused and semantic.

Does this skill commit all my changes into one message?

No, it analyzes specific code 'hunks' to group only related changes into atomic commits, ensuring your history remains clean and easy to revert if necessary.

Git Commit Composer

Name: Git Commit Composer
Author: UtsavBalar1231

byUtsavBalar1231

Herramientas para Desarrolladores

Automates the creation of well-structured, conventional git commits by analyzing code changes and grouping them into logical, atomic units.

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The Git Commit Composer skill transforms raw code changes into a professional, semantic commit history. It intelligently analyzes unified diffs, classifies changes according to the Conventional Commits specification (such as feat, fix, or refactor), and groups related hunks to maintain repository integrity. By automating the staging and committing process while offering a decision framework for human review, it ensures a clean, bisectable history that adheres to industry best practices without including AI-generated fluff or attribution markers.

Características Principales

Confidence-based decision model for auto-commits versus human review
Automatic classification of changes into Conventional Commit types
Project-specific integration via CLAUDE.md for customized conventions
0 GitHub stars
Grouping of related code hunks into atomic, semantic commits
Strict adherence to formatting standards like imperative mood and character limits

Casos de Uso

Organizing a large set of unstaged changes into logical, separate commits
Ensuring consistent commit messaging across a multi-developer project
Streamlining the developer workflow from completed task to pushed code

Acerca de

Características Principales

Confidence-based decision model for auto-commits versus human review
Automatic classification of changes into Conventional Commit types
Project-specific integration via CLAUDE.md for customized conventions
0 GitHub stars
Grouping of related code hunks into atomic, semantic commits
Strict adherence to formatting standards like imperative mood and character limits

Casos de Uso

Organizing a large set of unstaged changes into logical, separate commits
Ensuring consistent commit messaging across a multi-developer project
Streamlining the developer workflow from completed task to pushed code