react-performance
Optimization strategies for React applications (Client & Server).
Discover research debugging skills, compare source repositories and read the instructions for each workflow.
Optimization strategies for React applications (Client & Server).
Development tools, linting, and testing for JavaScript projects.
Debugging, build analysis, and ecosystem tools.
Best practices for React Hooks usage and custom hook creation.
Global Exception Filters and standard error formats.
Control a Chromium browser via CDP. Use when automating web browsing, scraping pages, testing web apps, monitoring network traffic, or interacting with page elements.
Export and analyze VS Code Copilot chat logs for retrospective metrics. Extracts model usage, tool invocations, approval patterns, and timing data.
Use Chrome DevTools MCP tools to inspect rendering and troubleshoot website issues with the Maintainer.
Build features with AI coding tools (Claude Code, Lovable, Replit, Cursor). Use when implementing specs, iterating on AI code, or choosing tools. Focuses on tool selection, effective prompting, and iteration wo...
Track production app health and catch issues before users complain. Use after deploying, to check app status, or when investigating user reports. Covers error tracking, uptime monitoring, and metrics for non-te...
React and Next.js performance optimization patterns. Use BEFORE implementing any React code to ensure best practices are followed.
Minimal Chrome DevTools Protocol tools for browser automation and scraping. Use when you need to start Chrome, navigate pages, execute JavaScript, take screenshots, or interactively pick DOM elements.
Check Unity Console logs. Use when: checking logs, debugging errors, investigating failures, or when user asks about console output. Key options: --log-type (Error/Warning/Log/All), --max-count, --search-text....
Manage architectural decisions and insights in memory.jsonl. Use when you need to document strategic decisions, lessons learned, or architectural insights.
Code refactoring expert for improving code quality, readability, maintainability, and performance. Specializes in Java and Python refactoring patterns, eliminating code smells, and applying clean code principle...
Comprehensive code reviewer for Java and Python implementations focusing on correctness, efficiency, code quality, and algorithmic optimization. Reviews LeetCode solutions, data structures, and algorithm implem...
Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow. Use when making technical decisions, detecting code smells, or performing quality assurance.
Frontend-specific technical decision criteria, anti-patterns, debugging techniques, and quality check workflow. Use when making frontend technical decisions or performing quality assurance.
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScrip...
Review Clojure and ClojureScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing Clojure/ClojureScript...
Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.
Expert in React Native native modules, bridging JavaScript and native code, writing custom native modules, using Turbo Modules, Fabric, JSI, autolinking, module configuration, iOS Swift/Objective-C modules, And...
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexp...
Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or es...
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.