skills.rest
mattsp1290
mattsp1290COMMUNITY
Explore all skills by this author →
GitHub

review

Compare current branch code against main and generate structured review reports.

Updated Feb 27, 2026
Search Tags:#quality assurance#code review#best practices#security#AI#maintenance
One-click install
npx skills add https://github.com/mattsp1290/dotfiles --skill review-mattsp1290
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/mattsp1290/dotfiles/tree/main/.claude/skills/review
Command: npx skills add https://github.com/mattsp1290/dotfiles --skill review-mattsp1290

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of performing thorough code reviews by leveraging AI agents to evaluate code quality, security, and best practices, saving time and reducing human oversight.

Core Features & Use Cases

  • Parallel Reviews: Uses two independent AI reviewers to analyze code diffs and associated files simultaneously.
  • Focused Passes: Supports targeted review passes such as correctness, tests, or security.
  • Research Integration: Incorporates best practice research, cached or freshly fetched, into review discussions.
  • Structured Feedback: Produces detailed review summaries, critical issues, suggestions, positive notes, and action items in markdown format.
  • Use Case: Ideal for development teams needing consistent, high-quality code evaluation before merges, especially in complex or sensitive projects.

Quick Start

Invoke this Skill to generate a comprehensive code review for your latest changes, including security and correctness assessments, formatted in markdown files.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate code reviews for correctness and security before merging?▼

Automated code review solves this by using parallel AI agents to analyze branch diffs against main for correctness and security. It generates structured markdown feedback, highlighting critical issues and action items to ensure high-quality merges.

What is the best way to incorporate best practice research into AI code review?▼

AI code review incorporates best practice research by fetching or caching relevant topics for the code diff. This provides informed insights, allowing the review agents to evaluate quality based on current industry standards.

Can I run a focused code review pass for just testing or security?▼

Yes, you can run focused code review passes specifically for testing or security. The AI reviewers support targeted analysis of code diffs, allowing you to isolate and evaluate specific quality dimensions independently.

How does parallel AI code review work for complex development projects?▼

Parallel AI code review works by coordinating two independent review agents to analyze code diffs and associated files simultaneously. This dual-agent approach produces comprehensive review reports covering quality, security, and best practices.

What format does the automated code review feedback output use?▼

The automated code review feedback outputs in markdown format. The structured output includes detailed review summaries, critical issues, suggestions, positive notes, and actionable items for development teams.

Do I need any dependencies to run AI-based code reviews on my current branch?▼

No dependencies are required to run AI-based code reviews on your current branch. The skill operates independently to compare branch code against main and generate structured feedback without external setup.

Related Skills

Explore More Software Engineering Skills→
parkerhendoparkerhendo
1

deslop

Remove AI-generated comments, defensive checks, and type casts from Git branch diffs.

Community
Intermediate
Soul-Brews-StudioSoul-Brews-Studio
116

merged

Switch to main, pull latest changes, and delete merged branches.

Official
Basic
RedHatProductSecurityRedHatProductSecurity
47

sarif-parsing

Parse, filter, aggregate, and validate SARIF static analysis reports.

Official
Intermediate
uesleinaschuesleinasch

code-review-checklist

Guide code reviews with multi-section checklists for correctness, security, and performance.

Community
Intermediate