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delaanthonio
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coderabbit

Review local code changes with the CodeRabbit CLI.

1|Updated May 23, 2017
Search Tags:#git#CLI#AI#CodeRabbit#code-review#PR-readiness
One-click install
npx skills add https://github.com/delaanthonio/dotfiles --skill coderabbit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coderabbit
Source: https://github.com/delaanthonio/dotfiles/tree/main/claude/skills/coderabbit
Command: npx skills add https://github.com/delaanthonio/dotfiles --skill coderabbit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill uses the CodeRabbit CLI to provide AI-driven code reviews for local changes, helping developers get faster, consistent feedback and PR readiness.

Core Features & Use Cases

  • AI-driven code reviews: Analyze local changes and provide feedback using CodeRabbit.
  • PR readiness checks: Assess whether current changes are ready to merge and what needs attention.
  • Flexible review scopes: Review all changes, or only committed/uncommitted changes, or specific commits.
  • Config-driven context: Auto-detects and uses project configs like .coderabbit.yaml and CLAUDE.md when present.
  • Output modes: Interactive, plain text, or prompt-only reviews to fit your workflow.

Quick Start

From within a git repository, run coderabbit review with your preferred options. For example:

  • Check for configs and show a summary: git status ls -la .coderabbit.yaml CLAUDE.md 2>/dev/null
  • Run a full review with plain text output: coderabbit review --type all --plain -c .coderabbit.yaml CLAUDE.md

Frequently Asked Questions about coderabbit

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

FAQPage Schema
How do I run AI-powered code reviews on my local git changes?▼

AI-powered code reviews analyze your local changes using the CodeRabbit CLI. Run `coderabbit review` from within your git repository to generate AI-driven feedback on staged, committed, or all changes, with optional flags like `--type` to specify scope and `--plain` for text output.

Can I check if my code changes are ready for a pull request?▼

PR-readiness checks assess whether your current changes meet merge criteria. CodeRabbit's review modes evaluate code quality, identify potential issues, and highlight what needs attention before you open a PR.

Does CodeRabbit automatically detect my project configuration?▼

Configuration auto-detection reads .coderabbit.yaml and CLAUDE.md files from your repository root when present. This provides context-aware reviews aligned with your project's coding standards and review guidelines without manual setup.

How do I compare a feature branch to a base branch using AI review?▼

Branch comparison with CodeRabbit uses the `--base` flag to specify your base branch, then analyzes differences in your feature branch. The CLI automatically detects your repository context and generates focused review output for the delta.

What output formats does CodeRabbit support for code reviews?▼

CodeRabbit offers interactive, plain-text, and prompt-only output modes via flags like `--plain` and `-c`. Choose the format that fits your workflow—plain text for reports, interactive for exploration, or prompt-only to integrate with custom tooling.

Can I review only specific commits instead of all changes?▼

Flexible review scopes let you target staged changes, committed changes, specific commits, or all changes using the `--type` flag. This lets you review incrementally or focus feedback on particular work without reviewing the entire branch.

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