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dceoy
dceoyCOMMUNITY
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code-review

Review GitHub pull requests for bugs, compliance, and historical context.

2|Updated Dec 31, 2025
Search Tags:#code quality#code review#pull request#bug detection#compliance checking
One-click install
npx skills add https://github.com/dceoy/ai-coding-agent-skills --skill code-review-dceoy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/dceoy/ai-coding-agent-skills/tree/main/skills/code-review
Command: npx skills add https://github.com/dceoy/ai-coding-agent-skills --skill code-review-dceoy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires GitHub API, agents, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of code review, helping to identify bugs, ensure compliance with AGENTS.md/CLAUDE.md guidelines, and provide context-aware feedback.

Core Features & Use Cases

  • Multi-Agent Review: Utilizes multiple agents to conduct thorough code analysis.
  • Compliance Checking: Ensures code changes adhere to specified guidelines and best practices.
  • Historical Context Analysis: Detects potential issues based on historical code comments and changes.
  • Use Case: Ideal for automatically reviewing pull requests, especially for teams with strict coding standards.

Quick Start

Perform a code review for the pull request #123 by analyzing it with the 'code-review' skill.

Frequently Asked Questions about code-review

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 uses multiple AI agents to detect bugs, verify compliance with AGENTS.md or CLAUDE.md guidelines, and analyze historical context. It requires GitHub API access and relevant configuration files.

What is multi-agent bug detection and compliance checking?▼

Multi-agent bug detection and compliance checking deploys a suite of AI agents to analyze pull requests, ensuring code quality and adherence to specified guidelines while incorporating historical code comments for context-aware feedback.

Can I use this code review skill with existing AGENTS.md configuration files?▼

Yes, the code review process works with existing AGENTS.md and CLAUDE.md configuration files to verify that code changes adhere to your specified guidelines and best practices.

How does historical context analysis improve pull request reviews?▼

Historical context analysis improves pull request reviews by detecting potential issues based on historical code comments and changes, providing context-aware feedback for more thorough code quality assessment.

Do I need GitHub API access to perform automated code reviews?▼

Yes, GitHub API access is required to perform automated code reviews on pull requests, along with relevant configuration files for AGENTS.md or CLAUDE.md to ensure compliance verification.

What's the best way to ensure code quality and compliance in pull requests?▼

The best way to ensure code quality and compliance in pull requests is through multi-agent automated review that combines bug detection, guideline adherence verification, and historical context analysis for comprehensive feedback.

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