code-review
Code review patterns, testing, and pre-commit quality gates
按技能名称、说明或 GitHub 作者匹配的结果。
Code review patterns, testing, and pre-commit quality gates
Comprehensive code review orchestrator. Runs multiple focused review analyses (bugs, types, maintainability, simplicity, coverage, docs, AGENTS.md) and consolidates findings. Use before PR or after implementati...
Audit code for bugs, logic errors, race conditions, and edge cases. Read-only analysis producing actionable report. Use before PR, after implementation, or when debugging. Triggers: review bugs, find bugs, chec...
Manage Azure Repos including branches, pull requests, and code reviews. Use when working with Azure Repos or managing repository operations.
Automated code review with security, performance, and best practices analysis. Use when reviewing pull requests or analyzing code for vulnerabilities, performance issues, or maintainability concerns.
GitHub PR creation workflow with automated code review. Use when user wants to create a PR, requests `/pr`, or needs to push changes to GitHub with quality checks.
Conduct a comprehensive architecture and code review based on the Well-Architected Framework's five pillars. Use when user says "well-architected review", "wa review", or "architecture review". Analyzes Reliabi...
Conduct a detailed technical review of recent changes or a specific feature. Use when user says "review PR", "code review", or "review [scope]". Analyzes for logic errors, bugs, style issues, and performance. F...
Use when asked to "review code", "review PR", "review diff", "check this PR", "do a code review", or mentions "code review", "PR review", "full diff", "cross-file patterns", "code quality", "review changes".
Code review best practices for Python projects. Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor...
Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor", "egregious", "cross-file", "duplicate", "dupl...
Address PR feedback with iterative refinement. MUST BE USED when fixing PR issues. Supports auto-detection (CI failures, code review) and manual triage (user reports bugs). Creates Beads issues for all problems...
Comprehensive code review methodology. 4 layers (Correctness, Security, Performance, Style), severity classification, 80% confidence threshold.
Clean code principles, error handling patterns, and coding standards for PACT Code phase. Use when: implementing features, refactoring code, reviewing code quality, establishing coding conventions, or handling...
Evaluate code review quality and provide feedback on review effectiveness and thoroughness
Local code review using CodeRabbit CLI. Use when user wants to review changes before committing or pushing.
Full project code review using multiple AI CLIs (Claude, Gemini, Codex). Use when user wants comprehensive multi-perspective code review.
Comprehensive code review checking quality, security, and best practices. Triggers: CR, review, 審查, 檢查, check, 看一下, PR, code review, 品質.
Use when receiving code review feedback, before implementing suggestions. Requires technical verification, not performative agreement or blind implementation.
This skill should be used when managing the file-based todo tracking system in the .ai/todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integr...
This skill should be used when the user asks to "review code", "review this PR", "code review", "audit this code", or mentions reviewing pull requests, security checks, or code quality. Covers security (OWASP),...
Sarcastic QA Lead who audits codebases for code smells, anti-patterns, and WTF moments. Provides best-practice fixes with cutting wit. Use for code reviews and quality audits.
Apply when reviewing pull requests, conducting code reviews, or self-reviewing code before submission.
Perform and apply code reviews (UACRP + application protocol) and coordinate artifacts via mpcr.
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。