What output format does this skill provide?

The skill returns a structured JSON object containing commit metadata, file-specific change stats, and the full unified diff content for easy programmatic processing.

How does it help in an AI code review pipeline?

It acts as the data extraction layer, providing the AI with the exact code changes and context needed to perform an accurate and helpful review without manual copy-pasting.

Can I use this for uncommitted changes?

Yes, the skill is designed to handle various Git states, including uncommitted local changes and staged changes, making it perfect for pre-commit checks.

Does it work with remote repositories?

This skill is optimized for local Git operations. For remote-specific reviews, it is typically used after fetching or as part of a local workspace analysis.

Git Commit Diff Retriever

Name: Git Commit Diff Retriever
Author: xinbenlv

byxinbenlv

Collaboration Tools

Extracts structured code diffs and metadata from local Git commits to streamline automated code review workflows.

About

The Retrieve Diff from Commit skill serves as the foundational entry point for automated code review pipelines within Claude Code. It allows developers to programmatically extract unified diffs, file change statistics, and commit metadata from specific SHAs, ranges, or branches. By normalizing Git output into a structured JSON format, it enables seamless integration with downstream analysis tools and AI-driven review specialists, ensuring that reviewers have all necessary context—including authorship and summary stats—before assessing changes.

Key Features

Calculates detailed file statistics for additions, deletions, and modifications
Extracts comprehensive metadata including author, SHA, timestamp, and message
0 GitHub stars
Supports single commits, commit ranges, and branch-to-branch comparisons
Provides unified diff formatting with configurable context for deeper analysis
Outputs structured JSON data optimized for automated CI/CD and review pipelines

Use Cases

Feeding structured code changes into AI agents for automated bug detection and style enforcement
Generating detailed change reports between specific releases or tags
Automating pre-push code reviews for local feature branches before opening a PR

About

Key Features

Calculates detailed file statistics for additions, deletions, and modifications
Extracts comprehensive metadata including author, SHA, timestamp, and message
0 GitHub stars
Supports single commits, commit ranges, and branch-to-branch comparisons
Provides unified diff formatting with configurable context for deeper analysis
Outputs structured JSON data optimized for automated CI/CD and review pipelines

Use Cases

Feeding structured code changes into AI agents for automated bug detection and style enforcement
Generating detailed change reports between specific releases or tags
Automating pre-push code reviews for local feature branches before opening a PR