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Kalitone
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claude-code-review-skill

Review local changes, branches, or GitHub Pull Requests for code issues.

Updated Aug 23, 2026
Search Tags:#quality assurance#code review#performance#security#github#ai assistant
One-click install
npx skills add https://github.com/Kalitone/claude-code-review-skill --skill claude-code-review-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-code-review-skill
Source: https://github.com/Kalitone/claude-code-review-skill/tree/main
Command: npx skills add https://github.com/Kalitone/claude-code-review-skill --skill claude-code-review-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of code review, identifying potential bugs, security vulnerabilities, performance issues, and quality concerns, thereby improving the overall codebase and saving developer time.

Core Features & Use Cases

  • Comprehensive Code Analysis: Scans code for a wide range of issues across security, bugs, performance, and quality.
  • Automated Reporting: Generates detailed summaries of findings with severity levels.
  • GitHub Integration: Can post comments directly to GitHub Pull Requests for seamless workflow integration.
  • Use Case: A developer can submit a Pull Request and ask this Skill to perform a full review, receiving a report of critical issues, high-priority bugs, and suggestions for improvement before merging.

Quick Start

Ask the skill to perform a full code review on your current changes.

Frequently Asked Questions about claude-code-review-skill

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

FAQPage Schema
How do I automate code review for GitHub Pull Requests?▼

Automated code review for GitHub Pull Requests analyzes local changes or branches for security vulnerabilities, bugs, performance bottlenecks, and quality issues. It uses GitHub CLI integration to post review comments directly to your Pull Requests.

Can I focus an AI code review on just security vulnerabilities?▼

Yes, AI code review supports focused reviews on specific categories like security vulnerabilities. You can target particular issues such as bugs, performance bottlenecks, or quality concerns instead of running a full comprehensive analysis.

How does AI code analysis detect performance bottlenecks and bugs?▼

AI code analysis detects performance bottlenecks and bugs by evaluating code changes against a detailed checklist. It assigns confidence scores to findings and generates summaries with severity levels for identified issues.

Do I need GitHub CLI to post automated code review comments?▼

Yes, GitHub CLI is required to post automated code review comments directly to Pull Requests. The integration enables seamless workflow automation by submitting detailed summaries of critical issues and suggestions to GitHub.

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

The best way to review local code changes before merging is performing a comprehensive AI-powered code review. This process identifies potential bugs, security vulnerabilities, and quality concerns, providing a prioritized report of findings.

What are the limitations of automated AI code review for quality assurance?▼

Automated AI code review for quality assurance relies on confidence scoring and checklists, meaning it may not catch nuanced architectural flaws requiring human judgment. It serves to augment developer review time, not replace manual oversight entirely.

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