Does it add any AI-generated attribution to my commits?

No, the skill is configured to never add 'Co-Authored-By: Claude' or any other AI attribution footers to your commit messages.

Can it help me split a single large file into multiple commits?

Yes, the skill is specifically designed to analyze changes and suggest logical split points, allowing you to create small, focused commits even from complex diffs.

What commit convention does this skill follow?

The skill strictly follows the Angular Commit Convention, utilizing types like feat, fix, docs, and refactor to ensure consistency and compatibility with automated tools.

Does this tool run linting and testing automatically?

It includes a pre-commit workflow that detects your project's language and runs appropriate linting, formatting, and testing commands to validate changes before committing.

Smart Git Commit Assistant

Name: Smart Git Commit Assistant
Author: AIOTNetwork

byAIOTNetwork

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Herramientas para Desarrolladores

Streamlines git workflows by generating conventional commit messages and splitting complex changes into logical, atomic commits.

The Smart Commit skill serves as an AI-powered git workflow assistant designed to maintain a clean and professional repository history. It analyzes your code changes to generate standardized commit messages following the Angular Convention and identifies distinct logical units within your work to suggest atomic commit splits. By integrating automated pre-commit validation—including linting, formatting, and testing—it ensures that every commit is independent, functional, and compliant with project standards, making it an essential tool for teams focused on automated changelogs and robust CI/CD pipelines.

Características Principales

01AI-powered generation of Angular-style conventional commit messages

02Automated splitting of large diffs into focused, atomic commits

03Intelligent dependency-aware commit ordering and planning

041 GitHub stars

05Interactive staging recommendations for unstaged changes

06Pre-commit validation including linting, formatting, and unit tests

Casos de Uso

01Ensuring code quality through automated pre-commit checks before pushing to remote

02Organizing a large session of mixed changes into distinct, reviewable commits

03Enforcing standardized commit formats for automated versioning and changelogs

Características Principales

01AI-powered generation of Angular-style conventional commit messages

02Automated splitting of large diffs into focused, atomic commits

03Intelligent dependency-aware commit ordering and planning

041 GitHub stars

05Interactive staging recommendations for unstaged changes

06Pre-commit validation including linting, formatting, and unit tests

Casos de Uso

01Ensuring code quality through automated pre-commit checks before pushing to remote

02Organizing a large session of mixed changes into distinct, reviewable commits

03Enforcing standardized commit formats for automated versioning and changelogs