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code-reviewer

Review code quality issues and provide actionable feedback across pull requests.

Updated Sep 3, 2025
Search Tags:#automation#testing#security#static-analysis#quality-assurance#code-review
One-click install
npx skills add https://github.com/ujiro99/prompt-history --skill code-reviewer-ujiro99
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/ujiro99/prompt-history/tree/main/.claude/skills/code-reviewer
Command: npx skills add https://github.com/ujiro99/prompt-history --skill code-reviewer-ujiro99

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineers quickly assess code quality, detect potential issues, and provide actionable feedback during reviews or when analyzing PRs.

Core Features & Use Cases

  • Read target files: Inspect code using the Read tool.
  • Pattern searches: Locate potential problems with Grep.
  • Cross-file analysis: Find related files with Glob to assess overall quality.
  • Actionable feedback: Deliver practical recommendations for improvements.

Quick Start

Review the target repository or files and provide feedback on structure, readability, and potential risks.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate code quality reviews across pull requests?▼

Automate code quality reviews by analyzing pull requests for code organization, error handling, performance, security, and test coverage. The Skill reads target files, searches for patterns with grep, and locates related files to deliver actionable feedback on improvements.

What code issues does a comprehensive code review identify?▼

Comprehensive code reviews identify issues across code organization, error handling, performance bottlenecks, security vulnerabilities, test coverage gaps, readability problems, and maintainability concerns. The Skill provides structured feedback with practical recommendations for each category.

Can I use code review automation across different programming languages?▼

Yes, code review automation works across languages and project types. The Skill performs reproducible checks by reading files, searching patterns, and analyzing cross-file relationships to assess code quality regardless of language or framework.

How do I integrate code reviews into my repository analysis workflow?▼

Integrate code reviews by using read, grep, and glob tools to inspect files, locate potential problems, and find related code. This workflow enables repository-wide analysis that delivers practical recommendations for structure, readability, and risk mitigation.

What's the difference between manual code review and automated quality analysis?▼

Automated quality analysis detects structural issues, security risks, and maintainability problems consistently across codebases without manual effort. It complements manual review by identifying patterns, providing actionable feedback, and scaling across pull requests and repositories.

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