python-performance-optimization
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.
python-performance-optimization
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.
optimizing-attention-flash
Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.
tidb-profiler-analyzer
Processes and analyzes TiDB profiler zip packages (CPU or heap) for components like TiDB, TiKV, PD, or TiFlash. It unzips, aggregates the profiler data, and uses `go tool pprof` to report on the most time-consuming functions (CPU) or highest memory allocations (heap).
measuring-pr-performance-impact
Measures GraphQL resolver latency changes before/after a PR merge using Datadog metrics. Use when analyzing PR performance impact, measuring latency changes, or comparing resolver performance before and after a code change.
react-performance-optimization
React performance optimization patterns using memoization, code splitting, and efficient rendering strategies. Use when optimizing slow React applications, reducing bundle size, or improving user experience with large datasets.
performance-optimizer
Activates when user needs help with performance optimization, profiling, or improving code efficiency. Triggers on "optimize performance", "make this faster", "reduce memory", "profile this", "performance issues", "slow code", "improve speed", or efficiency-related questions.
frontend-performance
フロントエンドパフォーマンス最適化ガイド。Core Web Vitals改善、バンドルサイズ削減、レンダリング最適化、画像最適化など、高速なWebアプリケーション構築のベストプラクティス。
css-performance
Optimize CSS performance - critical CSS, code splitting, purging, bundle analysis
go-performance
Go performance optimization - profiling, benchmarks, memory management
java-performance
JVM performance tuning - GC optimization, profiling, memory analysis, benchmarking
rust-performance
Master Rust performance - profiling, benchmarking, and optimization
swiftui-performance-audit
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
custom-plugin-flutter-skill-performance
1600+ lines of performance optimization mastery - profiling, rendering, memory, network, battery, APK size with production-ready code examples.
ctx:performance
Analyze and optimize parallel workflow performance. Use when users report slow parallel execution, want to improve speed, or need performance analysis. Activate for questions about bottlenecks, time savings, optimization opportunities, or benchmarking parallel workflows.
Performance Optimizer
Optimize application performance and scalability. Use when investigating slow applications, scaling bottlenecks, or improving response times. Covers profiling, caching, database optimization, and frontend performance.
r3f-performance
R3F performance optimization—LOD (Level of Detail), frustum culling, instancing strategies, draw call reduction, frame budgets, lazy loading, and profiling tools. Use when optimizing render performance, handling large scenes, or debugging frame rate issues.
performance-at-scale
Spatial indexing and world streaming for Three.js building games with thousands of pieces. Use when optimizing building games, implementing spatial queries, chunk loading, or profiling performance. Includes spatial hash grids, octrees, chunk managers, and benchmarking tools.