Performance

A comprehensive optimization toolkit spanning Core Web Vitals, React rendering, image delivery, and LLM inference. Use this when you're hitting 2026's stricter thresholds (LCP under 2s, INP under 150ms), debugging slow React renders, or optimizing model serving costs. The 24 rules cover practical patterns like React Compiler verification, TanStack Virtual for long lists, AVIF with WebP fallback, vLLM deployment with quantization, and Redis cache strategies. It even includes sustainability patterns for carbon footprint reduction. The local profiling section with Portless URLs is smart for stable performance monitoring. High complexity, high effort, but it addresses real performance bottlenecks across the full stack from bundle size to inference latency.

skills.sh installs: 232
GitHub stars: 301
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add yonatangross/orchestkit --skill performance --agent claude-code

Installs into .claude/skills of the current project.

Files

Performance

Comprehensive performance optimization patterns for frontend, backend, and LLM inference.

Quick Reference

Category	Rules	Impact	When to Use
Core Web Vitals	4	CRITICAL	LCP, INP, CLS optimization with 2026 thresholds
Render Optimization	3	HIGH	React Compiler, memoization, virtualization
Lazy Loading	3	HIGH	Code splitting, route splitting, preloading
Image Optimization	2	HIGH	AVIF/WebP formats, responsive images
Profiling & Backend	3	MEDIUM	React DevTools, py-spy, bundle analysis
LLM Inference	3	MEDIUM	vLLM, quantization, speculative decoding
Caching	2	HIGH	Redis cache-aside, prompt caching, HTTP cache headers
Query & Data Fetching	2	HIGH	TanStack Query prefetching, optimistic updates, rollback
Sustainability	1	MEDIUM	Page weight budgets, lazy loading, optimized formats, dark mode