Découvrez les skills data ai debugging, comparez leurs dépôts et consultez leurs instructions.
TypeScript language expertise for writing type-safe, production-quality TypeScript code. Use for TypeScript development, advanced type system features, strict mode, type-safe APIs, and modern frameworks. Trigge...
Comprehensive concurrency and parallelism patterns for multi-threaded and async programming. Use when implementing async/await, parallel processing, thread safety, worker pools, or debugging race conditions and...
Analyzes and optimizes SQL queries for better performance, including index design, query rewriting, execution plan analysis, and database tuning. Covers PostgreSQL-specific optimizations, N+1 prevention, CTE/wi...
Rust language expertise for writing safe, performant, production-quality Rust code. Primary language for the Loom project. Use for Rust development, ownership patterns, error handling, async/await, cargo manage...
Structured logging and analysis of execution failures to prevent recurrence.
Generates a 'Red Team' critique of recent code or plans to identify weak assumptions and edge cases.
Detect and prevent state-visibility violations across execution contexts within a single transaction.
Generate comprehensive workspace profile with git signals, build configs, and forensics completeness tracking. Foundation skill for all other workspace operations.
Test Effect concurrency primitives including PubSub, Deferred, Latch, Fiber coordination, SubscriptionRef, and Stream. Use this skill when testing concurrent effects, event-driven systems, or fiber coordination...
Review code using GPT-5.2 Pro via Claude Code's Chrome integration. Use when the user asks to review code with ChatGPT, use their ChatGPT Pro subscription, get GPT-5.2 Pro to review code, or wants a second opin...
Provides expert code review guidelines and best practices
Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.
Comprehensive bash script debugging and troubleshooting techniques for 2025
Complete React testing system. PROACTIVELY activate for: (1) Vitest/Jest setup and configuration, (2) React Testing Library patterns, (3) Component testing with userEvent, (4) Custom hook testing with renderHoo...
Complete React performance optimization system. PROACTIVELY activate for: (1) React.memo and memoization, (2) useMemo and useCallback usage, (3) Code splitting with React.lazy, (4) List virtualization (react-wi...
Complete Python gotchas reference. PROACTIVELY activate for: (1) Mutable default arguments, (2) Mutating lists while iterating, (3) is vs == comparison, (4) Late binding in closures, (5) Variable scope (LEGB),...
Complete Python 3.13+ fundamentals system. PROACTIVELY activate for: (1) Python 3.13 free-threading (no-GIL), (2) JIT compiler usage, (3) Pattern matching syntax, (4) Walrus operator, (5) F-string features 3.12...
Complete React hooks reference system. PROACTIVELY activate for: (1) useState and useReducer patterns, (2) useEffect and lifecycle, (3) useRef for DOM and values, (4) useContext for shared state, (5) useMemo an...
Use when encountering ANY bug, error, unexpected behavior, test failure, crash, wrong output, missing output, flaky behavior, race condition, regression, "it doesn't work", "something's wrong", "not working as...
Interactive browser automation via Chrome DevTools Protocol. Use when you need to interact with web pages, test frontends, or when user interaction with a visible browser is required.
Get a second opinion by bundling a prompt + a curated file set, then asking another powerful LLM for debugging, refactor advice, design checks, or cross-validation.
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source o...
Analyze SIMD usage opportunities in Mojo code. Use to find performance optimization opportunities.
Measure function performance and compare implementations. Use when optimizing critical code paths.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.