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code-reviewer

Analyze pull request diffs and generate structured code review reports.

345|12|Updated Apr 14, 2026
Search Tags:#automation#static-analysis#quality-check#code-review#pr-analysis#review-report
One-click install
npx skills add https://github.com/minicoohei/ai-agent-camp --skill code-reviewer-minicoohei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/minicoohei/ai-agent-camp/tree/main/.claude/skills/code-reviewer
Command: npx skills add https://github.com/minicoohei/ai-agent-camp --skill code-reviewer-minicoohei

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PR reviews are often time-consuming and error-prone. This skill automates code-review analysis, risk assessment, and review reporting to speed up safe merges across TypeScript, JavaScript, Python, Go, Swift, and Kotlin.

Core Features & Use Cases

  • Automated PR analysis: assesses changes, identifies potential risks and code-quality issues.
  • SOLID and code-smell detection: highlights design and maintainability problems across languages.
  • Automated review reports: generates structured, actionable findings for developers and reviewers.
  • Use Case: teams reviewing large PRs can rapidly surface critical hotspots and produce consistent feedback.

Quick Start

Provide a pull request diff to automatically analyze and generate a structured review report.

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 review for pull requests across multiple programming languages?▼

Automated code review analyzes pull request diffs to assess risks and detect code smells across TypeScript, JavaScript, Python, Go, Swift, and Kotlin. It generates structured review reports highlighting design violations.

How does automated PR analysis detect SOLID violations and code smells?▼

Automated PR analysis detects SOLID violations by evaluating diff changes against design principles. It identifies maintainability problems and code smells, surfacing critical hotspots to speed up safe merges.

Can I use automated code review for large pull requests to identify risk hotspots?▼

Yes, automated code review targets large pull requests to rapidly surface critical risk hotspots. It assesses PR complexity and quality issues to produce consistent, actionable feedback for reviewing teams.

What is the best way to generate structured review reports for software engineering PRs?▼

Generating structured review reports is best achieved by providing a pull request diff to automated analysis. This produces actionable findings on code quality and risk assessment without manual inspection.

Do I need specific static-analysis dependencies to run automated code review on my PRs?▼

No specific static-analysis dependencies are required to run automated code review. The skill operates independently to perform diff analysis, risk assessment, and quality checks on your pull requests.

What are the limitations of automating code review analysis for complex software diffs?▼

Automating code review analysis focuses on diff evaluation, risk assessment, and detecting code smells. It supplements but does not replace human judgment for complex architectural decisions within software projects.

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