codex-review
Perform code reviews using OpenAI Codex CLI to identify bugs, security vulnerabilities, performance issues, and code quality problems. Use when the user asks to review code, check for issues, security audit, or...
按技能名称、说明或 GitHub 作者匹配的结果。
Perform code reviews using OpenAI Codex CLI to identify bugs, security vulnerabilities, performance issues, and code quality problems. Use when the user asks to review code, check for issues, security audit, or...
Critical Code Reviewer. Focuses on security, performance (Big O), and strict typing.
Use when you have received code review feedback and need to process it. [DEPRECATED] Routes to code-review --feedback
External AI code review using Codex or Gemini. Reads project.yaml to determine which provider to use for frontend vs backend tasks. Includes hallucination detection to avoid blindly applying AI suggestions.
Evaluate external PR suggestions (Gemini, CodeRabbit) against project conventions. Use when asked to review or agree with external code review comments.
Use during verification phase when conducting thorough code reviews and providing constructive feedback based on universal software quality principles.
Reviews the git changes, identifies critical and high-priority issues, generates review summaries, and collects metrics data for local use. Use this when users need to code review or analyzing code changes for...
Domain specialist for code quality assessment, maintainability, complexity analysis, code smells detection, anti-patterns identification, and code style enforcement. Scope: code review methodologies, naming con...
代码简化与优化专家/代码简化。Use this agent when you need to simplify, optimize, refactor, or clean up code. This agent helps reduce complexity, improve readability, and ensure code follows best practices like...
FTC skill code quality and structure checks. Activates when reviewing PRs, validating skills, or checking plugin compliance with marketplace standards. Use when reviewing pull requests, running local code revie...
Detect common code smells and anti-patterns providing feedback on quality issues a senior developer would catch during review. Use when user opens/views code files, asks for code review or quality assessment, m...
Comprehensive code review guidelines for React 19 TypeScript projects
Code review methodology, severity classification, and quality assessment patterns
Systematic code review guidance covering correctness, maintainability, security, and performance. Activates for PR reviews and code quality checks.
Streamlined code review workflow - gets SHAs and invokes superpowers:code-reviewer without permission prompts
This skill should be used when the user asks about "code quality", "file size limits", "function length", "KISS", "DRY", "YAGNI", "SRP", "best practices", "clean code", "cyclomatic complexity", "code review che...
Use when processing code review feedback. Technical evaluation of feedback, verify before implementing. No performative agreement or gratitude.
Local AI code reviews via CodeRabbit CLI. ONLY use when (1) user explicitly requests "coderabbit"/"cr review", OR (2) code changes are high-risk (security, concurrency, complex logic). Rate-limited to 1 review/...
Systematic code review checklist for quality and security
Load PR comments and feedback for code review. Use when the user wants to see reviewer feedback, check for unresolved comments, understand what changes are requested, or review discussion on a PR.
Code review mode - comprehensive review with security, performance, and maintainability focus
This skill should be used when the user asks to "review code", "perform code review", "check code quality", "review PR", "provide code feedback", or needs guidance on code review best practices and standards in...
Comprehensive code review system for Elixir applications using Phoenix, LiveView, Ash Framework, LiveSvelte, TailwindCSS, and DaisyUI. Performs deep analysis of code quality, architectural patterns, test covera...
Provides comprehensive Python code review with focus on quality, bugs, security, and best practices. Use when reviewing Python code, functions, or modules for quality assessment.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。