code-review-excellence

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INSTALLATION
npx skills add https://github.com/awesome-skills/code-review-skill --skill code-review-excellence
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SKILL.md

Code Review Excellence

Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.

When to Use This Skill

  • Reviewing pull requests and code changes
  • Establishing code review standards for teams
  • Mentoring junior developers through reviews
  • Conducting architecture reviews
  • Creating review checklists and guidelines
  • Improving team collaboration
  • Reducing code review cycle time
  • Maintaining code quality standards

Core Principles

1. The Review Mindset

Goals of Code Review:

  • Catch bugs and edge cases
  • Ensure code maintainability
  • Share knowledge across team
  • Enforce coding standards
  • Improve design and architecture
  • Build team culture

Not the Goals:

  • Show off knowledge
  • Nitpick formatting (use linters)
  • Block progress unnecessarily
  • Rewrite to your preference

2. Effective Feedback

Good Feedback is:

  • Specific and actionable
  • Educational, not judgmental
  • Focused on the code, not the person
  • Balanced (praise good work too)
  • Prioritized (critical vs nice-to-have)
❌ Bad: "This is wrong."

✅ Good: "This could cause a race condition when multiple users

         access simultaneously. Consider using a mutex here."

❌ Bad: "Why didn't you use X pattern?"

✅ Good: "Have you considered the Repository pattern? It would

         make this easier to test. Here's an example: [link]"

❌ Bad: "Rename this variable."

✅ Good: "[nit] Consider `userCount` instead of `uc` for

         clarity. Not blocking if you prefer to keep it."

3. Review Scope

What to Review:

  • Logic correctness and edge cases
  • Security vulnerabilities
  • Performance implications
  • Test coverage and quality
  • Error handling
  • Documentation and comments
  • API design and naming
  • Architectural fit

What Not to Review Manually:

  • Code formatting (use Prettier, Black, etc.)
  • Import organization
  • Linting violations
  • Simple typos

Review Process

Phase 1: Context Gathering (2-3 minutes)

Before diving into code, understand:

  • Read PR description and linked issue
  • Check PR size (>400 lines? Ask to split)
  • Review CI/CD status (tests passing?)
  • Understand the business requirement
  • Note any relevant architectural decisions

Phase 2: High-Level Review (5-10 minutes)

  • Architecture & Design - Does the solution fit the problem?
  • Check: SOLID principles, coupling/cohesion, anti-patterns
  • Performance Assessment - Are there performance concerns?
  • Check: Algorithm complexity, N+1 queries, memory usage
  • File Organization - Are new files in the right places?
  • Testing Strategy - Are there tests covering edge cases?

Phase 3: Line-by-Line Review (10-20 minutes)

For each file, check:

  • Logic & Correctness - Edge cases, off-by-one, null checks, race conditions
  • Security - Input validation, injection risks, XSS, sensitive data
  • Performance - N+1 queries, unnecessary loops, memory leaks
  • Maintainability - Clear names, single responsibility, comments
  • Reuse - Before accepting new code, search for existing utilities/helpers that could replace it. Check adjacent files and shared modules for similar patterns. See Universal Quality Guide for anti-patterns like parameter sprawl, leaky abstractions, nested conditionals, stringly-typed code, TOCTOU, and no-op updates.

Phase 4: Summary & Decision (2-3 minutes)

  • Summarize key concerns
  • Highlight what you liked
  • Make clear decision:
  • ✅ Approve
  • 💬 Comment (minor suggestions)
  • 🔄 Request Changes (must address)
  • Offer to pair if complex

Review Techniques

Technique 1: The Checklist Method

Use checklists for consistent reviews. See Security Review Guide for comprehensive security checklist.

Technique 2: The Question Approach

Instead of stating problems, ask questions:

❌ "This will fail if the list is empty."

✅ "What happens if `items` is an empty array?"

❌ "You need error handling here."

✅ "How should this behave if the API call fails?"

Technique 3: Suggest, Don't Command

Use collaborative language:

❌ "You must change this to use async/await"

✅ "Suggestion: async/await might make this more readable. What do you think?"

❌ "Extract this into a function"

✅ "This logic appears in 3 places. Would it make sense to extract it?"

Technique 4: Differentiate Severity

Use labels to indicate priority:

  • 🔴 [blocking] - Must fix before merge
  • 🟡 [important] - Should fix, discuss if disagree
  • 🟢 [nit] - Nice to have, not blocking
  • 💡 [suggestion] - Alternative approach to consider
  • 📚 [learning] - Educational comment, no action needed
  • 🎉 [praise] - Good work, keep it up!

Language-Specific Guides

根据审查的代码语言,查阅对应的详细指南:

Language/Framework

Reference File

Key Topics

React

React Guide

Hooks, useEffect, React 19 Actions, RSC, Suspense, TanStack Query v5

Vue 3

Vue Guide

Composition API, 响应性系统, Props/Emits, Watchers, Composables

Angular 17+

Angular Guide

Signals, Standalone 组件, RxJS, Zoneless 变更检测, 模板优化

Rust

Rust Guide

所有权/借用, Unsafe 审查, 异步代码, 取消安全性, 错误处理

TypeScript

TypeScript Guide

类型安全, async/await, 不可变性

Python

Python Guide

可变默认参数, 异常处理, 类属性

Django / DRF

Django Guide

安全审查, N+1 查询, Serializer 反模式, ViewSet, 异步视图

Java

Java Guide

Java 17/21 新特性, Spring Boot 3, 虚拟线程, Stream/Optional

C# / .NET

C# Guide

C# 12 特性, 异步编程, EF Core 性能, ASP.NET Core, LINQ

Go

Go Guide

错误处理, goroutine/channel, context, 接口设计

Kotlin / Android

Kotlin Guide

协程, Flow, Jetpack Compose, 空安全, 内存泄漏, 架构模式

NestJS

NestJS Guide

依赖注入, 分层架构, DTO 验证, Guard/Interceptor, 循环依赖

Svelte / SvelteKit

Svelte Guide

Runes, Load 函数, Form Actions, Store 迁移, SSR/CSR 边界

C

C Guide

指针/缓冲区, 内存安全, UB, 错误处理

C++

C++ Guide

RAII, 生命周期, Rule of 0/3/5, 异常安全

CSS/Less/Sass

CSS Guide

变量规范, !important, 性能优化, 响应式, 兼容性

Qt

Qt Guide

对象模型, 信号/槽, 内存管理, 线程安全, 性能

Cross-Cutting Guides

Language-agnostic patterns applicable to all code reviews:

Topic

Reference File

Key Topics

Universal Quality

Universal Quality Guide

Reuse audit, parameter sprawl, leaky abstractions, nested conditionals, stringly-typed code, TOCTOU, no-op updates, redundant state

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