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code-review

Analyze code changes for quality, conventions, and security with structured feedback.

Updated Jan 12, 2026
Search Tags:#git#developer tools#quality assurance#code review#collaboration#ai assistant
One-click install
npx skills add https://github.com/tolluset/local-review --skill code-review-tolluset
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/tolluset/local-review/tree/main/.claude/skills/code-review
Command: npx skills add https://github.com/tolluset/local-review --skill code-review-tolluset

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the code review process, ensuring code quality, adherence to project conventions, and security best practices through AI-assisted analysis and human collaboration.

Core Features & Use Cases

  • AI-Powered Analysis: Analyzes code for quality, conventions, and security vulnerabilities.
  • Structured Feedback: Provides detailed review summaries, key findings, and file-specific suggestions.
  • Use Case: Use this skill to get an initial AI review of your code changes before a human reviewer steps in, identifying common issues and ensuring consistency.

Quick Start

Use the code-review skill to review the changes in the current branch.

Frequently Asked Questions about code-review

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

FAQPage Schema
How does AI-assisted code review work for analyzing git changes?▼

AI-assisted code review analyzes your branch's code changes to detect quality issues, convention violations, and security vulnerabilities, generating structured feedback with specific file and line number references before human review.

How do I get structured feedback on code quality and security before a human review?▼

To get structured code review feedback, submit your branch changes for AI analysis. The system outputs categorized findings into critical, warning, and suggestion tiers, detailing actionable insights per file and line number.

Can I use automated code review to check project conventions and security vulnerabilities?▼

Yes, automated code review evaluates code changes specifically for adherence to project conventions and security best practices, providing a detailed review summary and key findings to ensure consistency.

What is the best way to review code changes collaboratively before merging?▼

The best way to review code changes collaboratively is using AI-powered analysis to catch common issues early, generating a structured report of critical findings and suggestions that streamlines subsequent human reviewer efforts.

Does AI code review require specific dependencies or components to analyze my current branch?▼

No, AI code review requires no specific dependencies or components to analyze your current branch. It operates directly on your code changes to assess quality, conventions, and security.

What are the limitations of using AI for code review instead of a human reviewer?▼

AI code review serves as a preliminary check to identify common issues and ensure consistency, but it is designed to complement rather than replace the nuanced judgment of a human reviewer.

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