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juanfranem

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

adebold

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or

deadronos

Performance optimization playbook (measure → diagnose → fix → verify) for this repo (React + R3F + Three.js + Vite). Use when asked to improve FPS, reduce jank, lower draw calls, optimize loading/bund

diegoknsk

Guia para otimização de performance — Span<T>, Memory<T>, ArrayPool, ValueTask, compiled queries e técnicas avançadas. Use quando a tarefa envolver performance, otimização, alocações, memory pooling o

infodungeon

Enforces Vercel-standard performance optimizations for React and Next.js applications.

affaan-m

compose-multiplatform-patterns is a set of design patterns for building shared UI components across Android, iOS, Desktop, and Web using Compose Multiplatform and Jetpack Compose.

supabase

supabase-postgres-best-practices is a set of guidelines for optimizing Postgres performance, covering query optimization, schema design, and database configuration.

callstackincubator

react-native-best-practices is a set of guidelines for optimizing React Native application performance, focusing on FPS, TTI, bundle size, memory leaks, and animations.

tutur3u

Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performan

w-winter

Surf is a CLI tool for controlling Chrome browser

kettleofketchup

frontend-dev-guidelines is a set of guidelines for modern React development, focusing on Suspense-based data fetching, lazy loading, and performance optimization.

Pama-Lee

Ordo JIT compilation and performance optimization guide. Includes Schema-aware JIT, TypedContext derive macro, Cranelift compilation, performance tuning. Use for optimizing rule execution performance,