How does it decide what to commit?

The skill reviews your session history, runs git status and git diff, and then proposes logical groupings for your approval before execution.

Does this skill add 'Co-Authored-By: Claude' to commits?

No, this skill is specifically designed to create commits that appear authored solely by the user, with no AI attribution or co-author lines.

Does it automatically commit all changed files?

No. It uses specific file addition rather than 'git add .' to ensure only relevant, reviewed changes are included in each atomic commit.

What is the reasoning ledger feature?

It automatically generates a markdown file for every commit that explains the 'why' behind changes, capturing build failures and fixes encountered during development.

Professional Git Commits

Name: Professional Git Commits
Author: parcadei

byparcadei

•

1,492

Developer Tools

Automates the creation of logical, well-documented git commits without AI attribution or co-author tags.

About

The Professional Git Commits skill streamlines the version control process by analyzing session changes and proposing atomic, logically grouped git commits. It strictly adheres to human-authored styles, avoiding any 'AI-generated' labels or co-author tags, ensuring your repository history remains clean and professional. Beyond simple committing, it automatically generates a reasoning ledger for every change, capturing the 'why' behind implementation details and build fixes to preserve developer intent for future sessions.

Key Features

Zero AI attribution for clean, human-appearing history
1,492 GitHub stars
Logical change grouping for atomic, focused commits
Imperative-mood commit message generation based on context
Interactive approval workflow before executing git commands
Automatic reasoning capture via persistent context ledgers

Use Cases

Organizing a complex coding session into multiple logical commits
Maintaining a professional project history without AI co-author tags
Documenting the underlying reasoning behind bug fixes and architectural choices

About

Key Features

Zero AI attribution for clean, human-appearing history
1,492 GitHub stars
Logical change grouping for atomic, focused commits
Imperative-mood commit message generation based on context
Interactive approval workflow before executing git commands
Automatic reasoning capture via persistent context ledgers

Use Cases

Organizing a complex coding session into multiple logical commits
Maintaining a professional project history without AI co-author tags
Documenting the underlying reasoning behind bug fixes and architectural choices