react-component-reviewer
Review React components for best practices, hooks usage, performance issues, accessibility, and TypeScript type safety. Use when you need to audit existing React components or provide code review feedback.
Discover research debugging skills, compare source repositories and read the instructions for each workflow.
Review React components for best practices, hooks usage, performance issues, accessibility, and TypeScript type safety. Use when you need to audit existing React components or provide code review feedback.
IPA guideline-compliant security diagnostic and review skill for Laravel/React applications. Use when performing security checks during code implementation or review. Diagnoses 11 vulnerability types (SQL injec...
Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and c...
Use this skill when user asks about code quality, duplications, dead code, or optimization opportunities. Analyzes staged changes AND surrounding code using GPT-5.2-Codex. Auto-triggers on: "중복 코드", "불필요...
Workflow de debugging systématique pour problèmes de serveur MCP, spécialement intégration Microsoft Copilot Studio
Use when working with application performance performance optimization
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
Provides concise, focused code reviews matching exact task complexity requirements. Use when reviewing code quality, security, or when the user asks for code review.
This skill should be used when the user invokes "/compound:reflect", asks to "reflect on this session", "capture learnings", "what did we learn", "debrief this work", or wants to create a structured learning ar...
Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)
Reviews Forecaddie changes for Next.js App Router and TypeScript correctness, maintainability, and performance (server/client component boundaries, error/loading states, data-layer separation, Zod validation, c...
Expert UI/UX Next.js v16 với MiniMax M2.1 + MCP (understand_image, Chrome DevTools). Phân tích UI, redesign Shadcn/Tailwind, responsive, accessibility.
Systematic debugging and root cause analysis for bugs, errors, and performance issues using industry best practices (5 Whys, Fishbone/Ishikawa, Fault Tree Analysis). Use when: (1) User reports a bug/error needi...
Veille technologique Claude Code - versions, sources, YouTube transcripts et analyse des nouveautés
Learn and apply successful patterns from codebase analysis
Review TypeScript/Next.js( App Router )/React/Tailwind/Cloudflare Workers & Durable Objects code and write a Japanese report.
Bun-first development patterns for TypeScript projects. Use when auditing Node.js projects for migration opportunities, starting new projects, evaluating npm dependencies, or reducing package.json bloat. Trigge...
Supabase Realtime 성능 및 부하 테스트를 수행하는 스킬.
Cloud bill reduction and API usage analysis.
Parses log files to identify errors and self-correction attempts.
Detect codebase bloat through progressive analysis: dead code, duplication, complexity, documentation bloat. Triggers: bloat detection, dead code, code cleanup, duplication, technical debt, unused code Use wh...
Expert firmware analyst specializing in embedded systems, IoT security, and hardware reverse engineering. Masters firmware extraction, analysis, and vulnerability research for routers, IoT devices, automotive s...
Gerencia BrowserView do Electron para renderizar sites sem afetar a UI do navegador.
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use PROACT...
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.