code-review-standards
Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.
Skills matching the name, description or GitHub author.
Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.
Performs systematic code review checking for correctness, maintainability, security, and best practices. Activates when user requests review, before creating PRs, or when significant code changes are ready. Ens...
Comprehensive code review guidance for quality, performance, and architecture across all programming languages. Use when (1) User explicitly requests code review, (2) After writing significant code changes, (3)...
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and design issues. Not tied to baseline—this is pure code analysis.
Code review specialist. Use when code needs review, before merging changes, or to assess code quality. Provides structured feedback with severity levels.
Automated code review workflow using OpenAI Codex CLI. This skill should be used when the user requests code to be reviewed using Codex CLI, or when implementing features that should be validated with automated...
Padrões e checklist para code review
Perform code review: detect risks, style issues, error handling gaps (report-only).
Building a positive code review culture that catches bugs, shares knowledge, maintains code quality, and builds team trust through effective review practices.
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
Review implementation quality and regression risks via claude-delegator (Code Reviewer expert). Use after implementation for complex tasks, refactors, or API changes.
Validate integration impact and regression risks via claude-delegator (Code Reviewer expert). Use for complex tasks or API integration.
Use when reviewing code, verifying implementations, checking security, validating acceptance criteria, or conducting code reviews for a completed implementation.
Conduct thorough code reviews focusing on code quality, security, best practices, and project standards. Use when asked to review code or PRs.
This skill should be used when the user asks to "request code review", "prepare for PR review", "code review checklist", "pre-review validation", "review preparation", or needs guidance on preparing code for pe...
通过 Codex MCP 工具进行代码审查、算法设计、架构分析和性能优化。适用于复杂技术任务(>10行核心逻辑)、系统级设计、多约束权衡、性能瓶颈分析。触发词:review、code review、代码审查、算法设计、复杂算法、架构分析、架...
Comprehensive code review and health check. Use when user needs project audit, code quality check, conflict detection, or says "review code", "check project", "audit codebase", "health check", "find issues", "c...
Run the complete code review pipeline on recent changes. Launches three review agents in parallel to check code quality, error handling, and simplification opportunities.
Comprehensive multi-AI code review system for Python, JavaScript, and TypeScript. Use when reviewing code for quality, security, performance, or best practices. Includes automated analysis scripts, language-spe...
Delegates code review to OpenAI Codex CLI. Use when user says "코드 리뷰해줘", "Codex한테 리뷰 맡겨", "PR 검토해줘", "코드 품질 체크", "리팩토링 제안해줘", "second opinion", or asks for code review, refactoring...
Friendly code review specialist providing constructive feedback with mentor style. Use when reviewing code quality, suggesting refactoring improvements, identifying best practices opportunities, or analyzing co...
Review changes to find high-impact issues. Use for code review of local changes or pull requests.
Comprehensive Swift/SwiftUI code review that runs view refactoring, performance audit, UI patterns, and concurrency checks on staged/unstaged changes. Use when reviewing Swift code changes before committing or...
Performs code review with best practices
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.