code-reviewer

Review local changes and remote pull requests for code quality.

1|1|Updated Nov 30, 2025
One-click install
npx skills add https://github.com/Aniket-a14/AI_friend --skill code-reviewer-aniket-a14
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/Aniket-a14/AI_friend/tree/main/.gemini/skills/code-reviewer
Command: npx skills add https://github.com/Aniket-a14/AI_friend --skill code-reviewer-aniket-a14

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill automates the process of reviewing code, ensuring correctness, maintainability, and adherence to project standards, whether for local changes or remote pull requests.

Core Features & Use Cases

  • Targeted Reviews: Supports reviewing both local uncommitted changes and specific remote pull requests.
  • Comprehensive Analysis: Evaluates code based on correctness, maintainability, readability, efficiency, security, error handling, and testability.
  • Structured Feedback: Provides clear, constructive feedback with a summary, findings (critical, improvements, nitpicks), and a recommendation.
  • Use Case: A developer submits a pull request. The AI uses this skill to perform a thorough review, identifying potential bugs and suggesting improvements before merging.

Quick Start

Use the code-reviewer skill to review the current pull request.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate a code review for a remote pull request?

Automated code review for a remote pull request is performed by checking out the specific PR, running preflight checks, and analyzing correctness, maintainability, and security to provide structured feedback.

Can I review local uncommitted changes for maintainability and security?

Yes, you can review local uncommitted changes for maintainability and security by running targeted preflight checks and in-depth analysis to ensure code quality before submission.

What is the best way to structure feedback when reviewing a pull request?

The best way to structure pull request feedback is to provide a summary, categorize findings into critical issues, improvements, and nitpicks, and deliver a final recommendation.

Does automated code review evaluate testability and error handling?

Yes, automated code review evaluates testability and error handling alongside readability and efficiency to ensure comprehensive code quality assurance and adherence to project standards.

What dimensions of software development does this code review process cover?

The code review process covers correctness, maintainability, readability, efficiency, security, error handling, and testability to deliver comprehensive quality assurance for software development.

How do I identify potential bugs before merging a pull request?

To identify potential bugs before merging a pull request, perform a thorough automated code review that analyzes code correctness and efficiency to highlight critical findings.