review

Review local changes or pull requests for code quality issues.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/aubrian-halili/ai-experience --skill review-aubrian-halili
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/aubrian-halili/ai-experience/tree/main/.claude/skills/review
Command: npx skills add https://github.com/aubrian-halili/ai-experience --skill review-aubrian-halili

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of reviewing code for quality, correctness, and adherence to best practices, saving developers significant time and ensuring higher code standards.

Core Features & Use Cases

  • Local Code Review: Analyze uncommitted changes or specific files in your local repository.
  • Pull Request Analysis: Review entire pull requests for potential issues before merging.
  • Refactoring Suggestions: Identify opportunities for code cleanup and SOLID principle adherence.
  • Use Case: Before merging a new feature branch, use this Skill to perform a comprehensive review of all changes, flagging potential bugs, performance bottlenecks, and maintainability concerns.

Quick Start

Review the current uncommitted changes in the repository.

Frequently Asked Questions about review

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

FAQPage Schema
How do I perform an automated code review on my local git changes?

To perform an automated code review on local git changes, the Skill analyzes uncommitted diffs using git commands to evaluate correctness, readability, maintainability, performance, and security against project conventions.

Can I use this to review a pull request before merging?

Yes, you can review a pull request before merging. The Skill leverages the GitHub CLI to analyze pull request diffs, assess code quality, and identify potential bugs or performance bottlenecks.

What does an AI-driven code quality analysis check for?

AI-driven code quality analysis checks for correctness, readability, maintainability, performance, and security issues. It evaluates code against SOLID principles and identifies refactoring opportunities to ensure higher code standards.

How do I get refactoring suggestions based on SOLID principles?

To get refactoring suggestions based on SOLID principles, the Skill analyzes your code diffs and blame lines, identifying opportunities for code cleanup and architectural improvements to enhance overall maintainability.

Do I need the GitHub CLI to analyze uncommitted changes in my repository?

No, you do not need the GitHub CLI to analyze uncommitted changes in your repository. Local code review relies on git commands to analyze diffs, while the GitHub CLI is specifically leveraged for pull request analysis.

What is the best way to flag potential bugs in a new feature branch?

The best way to flag potential bugs in a new feature branch is using this Skill to perform a comprehensive review of all changes, assessing code quality and identifying correctness, performance, and security concerns before merging.