name: code-review-assistant description: AI-powered code review assistant that analyzes pull requests, identifies potential bugs, security issues, code quality problems, and provides actionable improvement suggestions. Use when reviewing PRs, auditing code changes, or ensuring code quality standards. version: 1.0.0 author: muqing tags: [development, code-review, security, quality]

Code Review Assistant

Description

An AI-powered code review assistant that analyzes pull requests, identifies potential bugs, security vulnerabilities, code quality issues, and provides actionable improvement suggestions. This skill helps maintain code quality standards and catch issues before they reach production.

When to Use

• Reviewing pull requests for potential issues
• Auditing code changes for security vulnerabilities
• Ensuring code follows best practices and style guides
• Identifying performance bottlenecks
• Checking for test coverage gaps
• Validating code complexity

Review Checklist

Security Issues

• SQL injection vulnerabilities
• XSS (Cross-Site Scripting) risks
• Authentication/authorization flaws
• Sensitive data exposure
• Insecure dependencies

Code Quality

• Code duplication
• Function/class complexity
• Naming conventions
• Comment quality
• Error handling

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• Resource management

Performance

• N+1 query problems
• Unnecessary re-renders
• Memory leaks
• Inefficient algorithms
• Missing caching opportunities

Best Practices

• Test coverage
• Documentation completeness
• API consistency
• Error handling patterns
• Type safety

How to Use

1. When asked to review code, first gather context:
2. The programming language and framework
3. The files/functions changed

4. The purpose of the changes

5. Analyze the code systematically using the checklist

6. Provide structured feedback with severity levels

Output Format

## Code Review Summary

### Overview
[Brief description of what the PR does]

### Issues Found

#### Critical (🔴)
- [Issue with location and fix suggestion]

#### High (🟠)
- [Issue with location and fix suggestion]

#### Medium (🟡)
- [Issue with location and fix suggestion]

#### Low (🟢)
- [Minor suggestions]

### Positive Aspects
- [What was done well]

### Recommendations
- [Additional suggestions]

这个技能整体质量中等偏上。它的优势是结构完整、检查维度全面，能帮助系统性地进行代码审查，并提供了清晰的输出模板。但不足之处在于内容偏通用，没有针对具体编程语言的深入指导，也缺少实际案例和可量化标准。对于需要详细审查规则和具体操作建议的用户来说，可能会觉得实用性有限。