performance▌

NEVER trigger reflows/repaints in lifecycle hooks (ngOnInit, ngAfterViewInit).

Audit Jetpack Compose view performance end-to-end, from instrumentation and baselining to root-cause analysis and concrete remediation steps.

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.

>-

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.