按技能名称、说明或 GitHub 作者匹配的结果。
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...
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.
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.
Review code changes in GitHub pull requests or local git branches against main branch. This skill should be used when users request code review for PRs or branch changes in git repositories.
Perform code review, analyze code quality, find bugs, suggest improvements, check best practices and coding standards.
AI-powered code review using CodeRabbit CLI. Use when reviewing code changes, checking PR readiness, getting feedback on staged/committed changes, or when the user mentions code review, CodeRabbit, or wants the...
Reviews code for logic flaws, edge cases, performance bottlenecks, security vulnerabilities, maintainability concerns, architecture best practices, and adherence to local patterns and CLAUDE.md guidelines. Use...
Get git records for specified users and days, perform code review for each commit, and generate detailed code review reports
Write and generate code using memex-cli with Codex backend. Use when (1) Generating code files and scripts, (2) Refactoring existing code, (3) Writing tests, (4) Creating project scaffolds, (5) Implementing alg...
Use when collaborating with other AI assistants (Codex, Gemini, Aider, Cursor, OpenCode), delegating tasks, or requesting code review.
Review and finalize (REVIEWER + DOCUMENTER phases) - runs adversarial code review, commits changes, completes task, and records reflection to capture pattern outcomes.
This skill should be used when writing code in any opinionated framework's distinctive style. It applies when writing framework-based applications, creating models/controllers/views, or any framework code. Trig...
Code review checklist and patterns for thorough PR reviews
Assists with code review by analyzing code changes for quality, best practices, security, and potential issues. Activates after implementing code features, bug fixes, or refactorings. Provides structured feedba...
Systematic code review workflow. Use this when asked to review code, PRs, or assess code quality.
Comprehensive code review before committing changes. Verifies alignment with specifications, ensures consistency, runs tests with 50%+ coverage requirement, and evaluates architecture and maintainability. Use w...
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...
This skill should be used when working on architectural decisions, complex refactoring, system design, API redesign, or multi-component implementations. Also use when asked to "consult codex", "get a second opi...
Use when code review is needed - after each task in subagent-driven development, before merging to main, or after completing major features
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。