Does it work with standard git workflows?

Yes, it uses standard git commands like status and diff, and it only processes staged changes, ensuring it integrates seamlessly with your existing workflow.

What does the Contextual Git Commits skill do?

It automatically generates git commit messages that include the specific user prompts that led to the code changes, providing conversational context within your repository.

How does it improve my git history?

It adds the 'why' behind changes by preserving the original instructions and AI session data, making it easier to trace the logic of AI-assisted development.

Can I use this for any git project?

Yes, as long as you are using Claude Code and have the skill installed, you can trigger it whenever you want to save work to your git repository.

What specific metadata is included in the commit?

Each commit includes a brief summary, chronological user prompts, the AI Session ID, the specific AI Agent used, and the model version.

Contextual Git Commits

Name: Contextual Git Commits
Author: stared

bystared

Developer Tools

Automates Git commits by including original user prompts and AI session metadata for enhanced version control traceability.

About

The Contextual Git Commits skill streamlines your version control workflow by capturing the human intent behind every code change. It automatically extracts relevant user prompts from the conversation and appends them to the git commit message alongside critical AI metadata such as Session ID, Agent, and Model version. This creates a high-fidelity audit trail that allows developers and teams to understand exactly what instructions led to specific code modifications, making git histories more informative and debugging significantly easier.

Key Features

Analysis of staged changes for accurate commit summaries
Inclusion of AI Session ID, Agent name, and Model version
Support for multi-prompt chronological commit history
Automatic extraction of conversation prompts leading to code changes
Standardized commit formatting following best practices
0 GitHub stars

Use Cases

Streamlining the commit process during rapid prototyping sessions
Creating an audit trail for AI-generated code in team environments
Documenting the 'why' behind complex AI-assisted refactors

About

Key Features

Analysis of staged changes for accurate commit summaries
Inclusion of AI Session ID, Agent name, and Model version
Support for multi-prompt chronological commit history
Automatic extraction of conversation prompts leading to code changes
Standardized commit formatting following best practices
0 GitHub stars

Use Cases

Streamlining the commit process during rapid prototyping sessions
Creating an audit trail for AI-generated code in team environments
Documenting the 'why' behind complex AI-assisted refactors