coderabbit

Review uncommitted code changes with the CodeRabbit CLI and commit each fix separately.

Updated Jan 31, 2026

Search Tags:#automation #git #code-quality #developer-workflow #code-review #ai-assisted-review #per-issue-commits

Ready to run

npx skills add https://github.com/23prime/agent-skills --skill coderabbit-23prime

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: coderabbit
Source: https://github.com/23prime/agent-skills/tree/main/skills/coderabbit
Command: npx skills add https://github.com/23prime/agent-skills --skill coderabbit-23prime

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code review before committing can be time-consuming and error-prone; this skill enables AI-assisted review of uncommitted changes, guiding fixes and individual commits.

Core Features & Use Cases

AI-assisted code review: runs CodeRabbit in prompt-only mode to generate feedback on current changes.
Granular commits: for each actionable issue, apply fix, stage, and commit with a descriptive message.
Iterative re-review: repeat review and fixes until no issues remain in the patch.

Quick Start

Run coderabbit review --prompt-only to start an AI-powered code review of your current changes.

Frequently Asked Questions about coderabbit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate AI code review on uncommitted git changes before committing?▼

AI code review on uncommitted changes uses the CodeRabbit CLI in prompt-only mode to analyze local diffs and generate actionable feedback before you commit. It guides iterative fixes and stages modified files automatically.

Can I commit each code review fix separately with an automated message?▼

Yes, you can commit each code review fix separately by applying the suggested change, staging the modified file, and generating a descriptive commit message. This granular commit process follows your project conventions for each actionable issue.

Do I need the CodeRabbit CLI to run AI-assisted code review locally?▼

Yes, you need the CodeRabbit CLI installed to perform AI-assisted code review locally. The CLI is required to analyze uncommitted diffs, apply fixes, stage modified files, and produce descriptive commit messages within your development workflow.

How does iterative AI code review work for clearing patch issues?▼

Iterative AI code review repeats the analysis and fix cycle until no actionable issues remain in your patch. After the initial review, you apply fixes, commit them, and re-run the review to verify all problems are resolved.

What is the best way to review local code changes for quality prior to a git commit?▼

The best way to review local code changes prior to a commit is using AI-assisted review to analyze diffs and guide fixes. This automated process ensures code quality by addressing each issue individually before changes are committed.

Does CodeRabbit work with local development workflows for pre-commit code quality checks?▼

CodeRabbit works with local development workflows by analyzing uncommitted code diffs and providing AI-guided feedback. It integrates directly into your pre-commit routine to improve code quality and generate descriptive commit messages.