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ryan-nguyen-01
ryan-nguyen-01COMMUNITY
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agent-reviewer

Identify and flag quality issues in code diffs for agent reviews.

4|Updated Mar 31, 2026
Search Tags:#maintainability#agent#patterns#quality#diff#code-review
One-click install
npx skills add https://github.com/ryan-nguyen-01/agent-platform --skill agent-reviewer-ryan-nguyen-01
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-reviewer
Source: https://github.com/ryan-nguyen-01/agent-platform/tree/main/.claude/Agents/agent-reviewer
Command: npx skills add https://github.com/ryan-nguyen-01/agent-platform --skill agent-reviewer-ryan-nguyen-01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gate-keeper chất lượng code. Mọi code thay đổi phải qua Reviewer trước khi merge. Khác với agent-security (chuyên bảo mật) và agent-tester (viết tests), Reviewer tập trung vào: đúng conventions, logic correctness, code quality, maintainability, và readability.

Core Features & Use Cases

  • Multi-dimension review: checks conventions, correctness, performance, maintainability, and pattern compliance.
  • Context-driven inputs: reads conventions.md, architecture.md, feedback/patterns.md, and previous round issues to guide reviews.
  • Structured output: returns issues with severity, location, and actionable suggestions; supports round-based feedback and knowledge accumulation.

Quick Start

Provide the code changes as a diff and I will perform a multi-dimension review and return prioritized issues.

Frequently Asked Questions about agent-reviewer

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

FAQPage Schema
How do I automate code reviews for pull request diffs?▼

Automated code reviews for pull request diffs flag quality issues by analyzing changes against project conventions. This process identifies logic errors, code smells, and maintainability risks, returning structured issue data with actionable suggestions.

What is automated code review for maintainability and pattern compliance?▼

Automated code review for maintainability evaluates code diffs to detect convention violations and pattern compliance issues. It ensures logic correctness and readability by returning structured issue data with severity, location, and actionable improvements.

How do I check code diffs for convention violations and logic errors?▼

To check code diffs for convention violations and logic errors, provide the code changes to the reviewer. It performs a multi-dimension review across correctness, performance, and maintainability, yielding prioritized issues and actionable improvements.

Can I use context files like architecture and conventions to guide code reviews?▼

Yes, context-driven code reviews read conventions.md, architecture.md, and feedback/patterns.md to guide the analysis. This context ensures the review accurately detects pattern compliance issues and maintainability risks specific to your project.

Does automated code review output structured data for round-based feedback?▼

Automated code review outputs structured issue data containing severity and location for round-based feedback. This supports knowledge accumulation by tracking previous round issues, yielding actionable improvements for subsequent code changes.

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