Skills matching the name, description or GitHub author.
Perform critical code review with automated fix suggestions. Use when reviewing code changes, pull requests, specific files, or branch diffs. Triggers on requests like "review this code", "critical review", "co...
Automated code review checklist. Use when reviewing PRs or code changes.
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...
Comprehensive GitHub code review with AI-powered swarm coordination
Code review guidelines covering code quality, security, and best practices.
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...
Code review guidelines for general development and Rails projects. Provides reviewer personality, review perspectives, Rails-specific rules, and test quality standards. Use for code review, PR review, review co...
Enforce SOLID design principles during code generation, refactors, and code review (SRP/OCP/LSP/ISP/DIP). Use when changing architecture, introducing new abstractions, reducing coupling, eliminating type-switch...
M3社が開発したPythonの機械学習パイプラインツールgokartに関する深い知識とベストプラクティスを提供する。Use when reviewing gokart task designs, implementing type-safe ML pipelines, writing gokart tests, or workin...
Comprehensive code review focusing on quality, security, performance, and best practices. Use when reviewing PRs, commits, or code changes.
Pick up and implement the next available feature from /.agent-features/. Use when user says "develop feature", "work on next feature", "implement feature", or starts a new session to continue feature-driven dev...
code review feedback quality analysis best practices consistency checking
Perform code reviews following Python best practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
Expert code reviewer for TypeScript + React 19 applications. Use when reviewing React code, identifying anti-patterns, evaluating state management, or assessing code maintainability. Triggers: code review reque...
Provides expert code quality analysis, technical debt assessment, and maintainability evaluation. Use this skill when the user needs code review, tech debt inventory, refactoring prioritization, or code health...
This skill should be used when the user asks to "triage an issue", "evaluate a feature request", "should I accept this issue", "analyze GitHub issue", "review this pull request", "review this PR", "should I mer...
Conducts comprehensive security code reviews including vulnerability detection (OWASP Top 10, CWE), authentication/authorization flaws, injection attacks, cryptography issues, sensitive data exposure, API secur...
Conducts comprehensive backend code reviews including API design (REST/GraphQL/gRPC), database patterns, authentication/authorization, caching strategies, message queues, microservices architecture, security vu...
Conducts comprehensive frontend code reviews including React/Vue/Angular component analysis, TypeScript/JavaScript quality assessment, CSS/styling review, performance optimization, accessibility compliance, sec...
Code review standards and best practices for Slotify project. Use this skill when reviewing code, suggesting improvements, or maintaining code quality. Covers TypeScript, React hooks, error handling, and securi...
執行提交前檢查（linting、測試、code review）並建立 git commit。當使用者說「commit」、「提交」、「幫我提交」時使用。
Orchestrate multi-agent development workflows. Use when starting a new feature to coordinate architecture design, implementation, code review, and release through specialized sub-agents.
Harsh code reviewer with functional programming bias. Blocks PRs to teach.
MUST BE USED for code review. Use PROACTIVELY when /review command is invoked or after any code changes to check correctness, architecture, and security.
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.