performance▌

WordPress performance optimization guidelines across database, caching, assets, and plugin architecture. \n \n 34 rules organized by impact across 8 categories: database optimization, caching strategies, asset management, theme performance, plugin architecture, media optimization, API/AJAX, and advanced patterns \n Covers critical areas including WP_Query optimization, transient and object cache usage, proper asset enqueueing, and REST API caching \n Designed for code review and generation workf

Backend-only WordPress performance profiling and optimization using WP-CLI, Query Monitor, and targeted diagnostics. \n \n Detects and measures performance bottlenecks via WP-CLI doctor/profile commands, Server-Timing headers, and Query Monitor REST API integration without requiring browser access \n Covers five optimization categories: database query reduction, autoloaded options cleanup, object cache configuration, cron task optimization, and remote HTTP call management \n Includes safe verifi

Apply when optimizing GSAP animations for smooth 60fps, reducing layout/paint cost, or when the user asks about performance, jank, or best practices for fast animations.

Memoization, code splitting, and virtualization patterns for optimizing React application performance. \n \n Covers four core optimization techniques: memoization (React.memo, useMemo, useCallback), code splitting with lazy/Suspense, virtualization for large lists, and state management strategies to minimize render cascades \n Includes React 18+ concurrent features (useTransition, useDeferredValue) for improved responsiveness and perceived performance \n Provides profiling workflow using React D

Diagnose React runtime performance with React Doctor traces, live render outlines, Long Animation Frames, interaction timing, and component render evidence. Use when invoked as `/performance` for a slow interaction, unexpected re-renders, or a measured before-and-after comparison.

Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas, flush_to_zero, and IR-level debugging. Use when asked to "optimize cutile kernel", "improve kernel perf", "tune cutile performance", "make kernel faster", or iteratively benchmark and refine a cuTile GPU kernel in the TileGym project.

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Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners.

'Optimize web performance: bundle size, images, caching, lazy loading, and overall page speed. Use when site is slow, reducing bundle size, fixing layout shifts, improving Time to Interactive, or optimizing for Lighthouse scores. Triggers on: web performance, bundle size, page speed, slow site, lazy loading. Do NOT use for Core Web Vitals-specific fixes (use core-web-vitals), running Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).'

Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts". Focuses specifically on the three Core Web Vitals metrics. Do NOT use for general web performance (use perf-web-optimization), Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).