receiving-code-review
Use when processing code review feedback. Technical evaluation of feedback, verify before implementing. No performative agreement or gratitude.
按技能名称、说明或 GitHub 作者匹配的结果。
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/...
C# software development with MVVM, Clean Architecture, TDD, CQRS, and DDD. Use for: linter warnings, build errors, refactoring, feature implementation, code review. Triggers: C#, .NET, MVVM, Clean Architecture,...
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...
Deep Python knowledge for code reviews. Provides detailed guidance on iterables, data structures, standard library, validation, testing, concurrency, APIs, and security.
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...
React performance optimization guidelines focused on Tanstack Start applications. Use when writing, reviewing, or refactoring React code with Tanstack Start, Tanstack Query, and Tanstack Router. Triggers on Rea...
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...
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.
Retrieve code diff from a GitHub Pull Request via GitHub API. Use this as the first step in a code review pipeline when reviewing GitHub PRs.
Triage and orchestrate code reviews. Analyzes PR intent, identifies touched surfaces, assesses risk, and routes to specialist skills. Does NOT perform detailed review - delegates to specialists. Supports full p...
Retrieve code diff from a local git commit. Use this as the first step in a code review pipeline when reviewing local commits.
Submit a code review to GitHub via the GitHub API. Use this as the final step in a code review pipeline to post review findings to a PR.
Perform thorough code reviews following Google's 5-step methodology. Use when reviewing pull requests, change lists, or any code changes to ensure quality, correctness, and maintainability.
Performs comprehensive code review of a GitHub PR. Use when: user wants to review a PR, check code changes, or analyze pull request.
Performs thorough code review with focus on correctness, security, performance, and maintainability. Provides actionable feedback with specific line references.
Hyper-pedantic Django code review skill emulating Monty's correctness-first, multi-tenant-safe review style.
Code style principle-based review - checks SRP (Single Responsibility Principle), DRY (Don't Repeat Yourself), Simplicity First, YAGNI (You Aren't Gonna Need It), and Type Safety. Also evaluates code structure...
Systematic code review with security, performance, and architecture analysis. Provides actionable fix suggestions and GitHub PR integration. Use when reviewing PRs, validating code changes, or checking code qua...
Roast a repository to identify issues, then translate to constructive feedback. Use when user wants code review, wants to find problems, asks to "roast" their code, or wants honest feedback about their codebase...
AI 驱动的代码审查能力,当用户提到代码审查、code review、审查代码、查看代码质量等关键词时自动触发。使用 9 个并行 Agent 进行全维度分析(Bug/质量/安全/性能)。
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。