code-review

Analyze GitHub pull request code changes and post review comments.

Updated Jun 6, 2026
One-click install
npx skills add https://github.com/LucasSantana-Dev/code-review-skill --skill code-review-lucassantana-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/LucasSantana-Dev/code-review-skill/tree/main
Command: npx skills add https://github.com/LucasSantana-Dev/code-review-skill --skill code-review-lucassantana-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the code review process, providing a comprehensive and efficient way to evaluate code changes, identify issues, and collaborate on fixes.

Core Features & Use Cases

  • Code Analysis: Analyze code changes for correctness, security vulnerabilities, maintainability, scalability, and more.
  • Batched Review: Post a comprehensive review with resolvable inline threads to GitHub PRs.
  • Fixer Mode: Dispatch fixer subagents to automatically resolve certain issues and allow manual verification.
  • Fan-Out: Split the review process across parallel reviewer subagents for large diffs.
  • Use Case: When reviewing a pull request on GitHub, use this Skill to automatically perform a detailed review and identify potential issues before the code is merged.

Quick Start

Run the code-review skill to perform a review on the current diff / PR.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate code review for GitHub pull requests?

To automate code review for GitHub pull requests, you can execute a script that analyzes the current diff for correctness, security, and maintainability, then posts comprehensive feedback with resolvable inline threads directly to the PR.

What issues can automated code review detect in a pull request?

Automated code review can detect a wide range of issues in a pull request, including security vulnerabilities, code smells, resource leaks, architectural flaws, and insufficient test coverage.

How do I handle large diffs when reviewing a pull request?

To handle large diffs during a pull request review, you can use a fan-out feature that splits the review process across parallel reviewer subagents, ensuring comprehensive analysis of extensive code changes.

Can I automatically fix issues found during a GitHub PR code review?

Yes, you can automatically fix issues found during a GitHub PR code review by dispatching fixer subagents to resolve certain identified problems, which then allows for manual verification of the applied fixes.

Do I need the GitHub CLI to review pull requests automatically?

Yes, you need the GitHub CLI ('gh') installed and authenticated to interact with GitHub, along with the Python standard library required for executing the automated review scripts.

What is the best way to review code for scalability and architecture?

The best way to review code for scalability and architecture is to use an automated review tool that evaluates code changes against these specific dimensions, posting structured feedback to your repository.