Discover research debugging skills, compare source repositories and read the instructions for each workflow.
Proactively detect and diagnose DAPR runtime issues based on error patterns, log analysis, and common misconfigurations. Provides immediate solutions for service invocation failures, state management issues, pu...
Expert in React performance optimization, code splitting, lazy loading, memoization, bundle analysis, Core Web Vitals, Lighthouse audits, and runtime performance profiling
Expert in error handling, Error Boundaries, Sentry integration, logging strategies, error recovery, user-friendly error UI, and debugging tools
Analyze codebases for patterns, anti-patterns, code duplication, performance issues, security vulnerabilities, and technical debt. Updated for React 19, Next.js 16.
Build, convert, and optimize React/Vue/Svelte UI components with TypeScript, advanced patterns, animations, and accessibility. Updated for React 19, Next.js 16, and modern 2025 standards.
React Native performance optimization guide. Use when working on performance issues, optimizing renders, improving startup time, debugging memory leaks, optimizing lists/animations, or analyzing bundle size. Co...
Clean Architecture for React Native (Expo) with TypeScript and Bun. Use this skill when creating features, refactoring code, or reviewing code in React Native projects. Enforces strict separation between Core (...
React and React Native coding conventions with TypeScript. Use this skill when creating components, writing hooks, or reviewing React/React Native code. Enforces naming conventions, component structure, typing...
This skill should be used when the user wants to run code quality checks (linting, formatting, type checking, tests) on the lazyopencode project. Use this skill when asked to "run quality gates", "check the cod...
Use when encountering any bug, test failure, or unexpected behavior (including race conditions, deadlocks, concurrency issues) - four-phase framework (root cause investigation, pattern analysis, hypothesis test...
Automatically invoked when analyzing code quality, refactoring, or maintainability. Triggers on mentions of "code smell", "refactor", "code quality", "technical debt", "complexity", "maintainability", "clean co...
Stimulus and Turbo patterns for Rails frontend development. Automatically invoked when working with Hotwire, Stimulus controllers, Turbo frames/streams, progressive enhancement, or modern Rails JavaScript. Trig...
Comprehensive distributed tracing with Jaeger, Zipkin, OpenTelemetry, correlation IDs, and span design.
Performance testing patterns including load testing, stress testing, benchmarking, and profiling for optimal application performance
Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing development work...
AI agent performs systematic root cause analysis using 5 Whys, Fishbone diagrams, and evidence-based investigation. Use when debugging, conducting post-mortems, or investigating incidents.
AI agent follows a 5-phase debugging process with reproduction, isolation, hypothesis testing, and root cause resolution. Use when investigating bugs, troubleshooting issues, or hunting errors.
Production observability with structured logging, metrics collection, distributed tracing, and alerting
Performs browser performance profiling with Lighthouse, Core Web Vitals, and DevTools analysis. Use when auditing page performance, optimizing Core Web Vitals, analyzing bundle sizes, or implementing performanc...
AI agent identifies and fixes common testing anti-patterns that lead to flaky, slow, or unmaintainable test suites. Use when reviewing tests, debugging test failures, or improving test quality.
1600+ lines of performance optimization mastery - profiling, rendering, memory, network, battery, APK size with production-ready code examples.
Complete sorting algorithm implementations including quick sort, merge sort, and binary search with complexity analysis and production-ready code.
Expert in Python development with focus on best practices, testing, and modern Python features
Aggressive session accountability via Obsidian timeline. PROACTIVELY log decisions, commits, ideas, and blockers AS THEY HAPPEN. Triggers on any significant action.
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.