Can it create issues on GitHub or GitLab?

Yes, if a commit isn't linked to an existing issue, the skill can help you describe the work and use the gh or glab CLI tools to create one.

What is an atomic commit?

An atomic commit is a single unit of work—one feature, fix, or refactor—that leaves the codebase in a working state and can be reverted independently without affecting unrelated code.

Does it support Conventional Commits?

Yes, it uses the conventional commit format, including types like feat, fix, refactor, docs, and test to ensure your project history is professional and readable.

How does this skill help with mixed concerns?

The skill analyzes your git status and diffs to identify if you've combined multiple features or bug fixes, then suggests grouping those files into separate, logical commits.

Atomic Commit Assistant

Name: Atomic Commit Assistant
Author: chanwit

bychanwit

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Herramientas para Desarrolladores

Ensures a clean git history by analyzing code changes, separating mixed concerns, and generating atomic, single-purpose commits.

Acerca de

Atomic Commit Assistant transforms messy, monolithic changes into a sequence of logical, manageable commits. By analyzing modified files and detecting mixed concerns—such as features blended with refactors—it guides you through a structured workflow of grouping related changes, staging files individually, and verifying each unit with tests and builds. This ensures your repository remains in a working state at every step, simplifies code reviews, and makes future reverts safer and more straightforward.

Características Principales

Intelligent mixed concern detection for diffs
60 GitHub stars
Automated grouping of files by shared purpose
Conventional commit format enforcement (feat, fix, refactor)
GitHub and GitLab issue integration and creation
Integrated test and build verification per commit

Casos de Uso

Splitting a large coding session into logical, reviewable units
Ensuring every commit in a repository passes CI/CD tests
Cleaning up local development history before a pull request

Acerca de

Características Principales

Intelligent mixed concern detection for diffs
60 GitHub stars
Automated grouping of files by shared purpose
Conventional commit format enforcement (feat, fix, refactor)
GitHub and GitLab issue integration and creation
Integrated test and build verification per commit

Casos de Uso

Splitting a large coding session into logical, reviewable units
Ensuring every commit in a repository passes CI/CD tests
Cleaning up local development history before a pull request