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LukasStrickler
LukasStricklerCOMMUNITY
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code-review

Automate code reviews with CodeRabbit for task and PR workflows.

4|Updated Dec 14, 2025
Search Tags:#automation#coderabbit#code-quality#code-review#pull-request#uncommitted#review-workflow
One-click install
npx skills add https://github.com/LukasStrickler/ai-dev-atelier --skill code-review-lukasstrickler
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/LukasStrickler/ai-dev-atelier/tree/main/content/skills/code-review
Command: npx skills add https://github.com/LukasStrickler/ai-dev-atelier --skill code-review-lukasstrickler

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires coderabbit, jq, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates code reviews by leveraging CodeRabbit to identify bugs, security issues, and quality problems in code changes before merges.

Core Features & Use Cases

  • Two Modes: Task mode for uncommitted changes and PR mode for changes vs main.
  • Automated Reports: Generates review documents and metadata that can be consumed by other skills.
  • Cross-Skill Workflows: Integrates with code-quality and docs-check skills to enforce end-to-end quality.
  • Use Case: A developer works on several files; they run the review to obtain a structured report and fix issues before finalizing the PR.

Quick Start

Run uncommitted changes review: bash skills/code-review/scripts/review-run.sh task Run PR review: bash skills/code-review/scripts/review-run.sh pr After completion, view results with: bun run review:read

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I run an automated code review on uncommitted changes before a pull request?▼

Automated code review on uncommitted changes works by executing the task mode script to identify bugs and quality problems. This generates structured metadata and file coverage reports for immediate feedback prior to finalizing your pull request.

Can I use CodeRabbit to review pull request diffs against the main branch?▼

Yes, you can use CodeRabbit to review pull request diffs against the main branch by running the PR mode script. It analyzes the code changes to identify security issues and quality problems, generating automated reports and metadata prior to submission.

Do I need jq installed to automate code reviews with CodeRabbit?▼

Yes, you need jq installed to automate code reviews with CodeRabbit, as it is a required dependency. The skill leverages jq to process structured metadata and enforce file coverage reporting during the automated review workflow.

What is the best way to integrate code quality and docs checks into my pull request review workflow?▼

The best way to integrate code quality and docs checks into your pull request review workflow is using cross-skill interoperability. The skill generates review documents and metadata that are consumed by code-quality and docs-check skills to enforce end-to-end code quality.

How do I view the results after an automated code review finishes?▼

To view the results after an automated code review finishes, run the designated read command to access the generated review documents. This displays the structured metadata and file coverage reports produced during the task or PR mode analysis.

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