performance

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

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Install skill "performance" with this command: npx skills add yonatangross/orchestkit/yonatangross-orchestkit-performance

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 3 HIGH Next.js Image, AVIF/WebP, 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

Total: 24 rules across 9 categories

Core Web Vitals

Google's Core Web Vitals with 2026 stricter thresholds.

Rule File Key Pattern

LCP Optimization rules/cwv-lcp.md

Preload hero, SSR, fetchpriority="high"

INP Optimization rules/cwv-inp.md

scheduler.yield, useTransition, requestIdleCallback

INP Advanced rules/cwv-inp-advanced.md

Layout thrashing, third-party scripts, rAF patterns

CLS Prevention rules/cwv-cls.md

Explicit dimensions, aspect-ratio, font-display

2026 Thresholds

Metric Current Good 2026 Good

LCP <= 2.5s <= 2.0s

INP <= 200ms <= 150ms

CLS <= 0.1 <= 0.08

Render Optimization

React render performance patterns for React 19+.

Rule File Key Pattern

React Compiler rules/render-compiler.md

Auto-memoization, "Memo" badge verification

Manual Memoization rules/render-memo.md

useMemo/useCallback escape hatches, state colocation

Virtualization rules/render-virtual.md

TanStack Virtual for 100+ item lists

Lazy Loading

Code splitting and lazy loading with React.lazy and Suspense.

Rule File Key Pattern

React.lazy + Suspense rules/loading-lazy.md

Component lazy loading, error boundaries

Route Splitting rules/loading-splitting.md

React Router 7.x, Vite manual chunks

Preloading rules/loading-preload.md

Prefetch on hover, modulepreload hints

Image Optimization

Production image optimization for modern web applications.

Rule File Key Pattern

Next.js Image rules/images-nextjs.md

Image component, priority, blur placeholder

Format Selection rules/images-formats.md

AVIF/WebP, quality 75-85, picture element

Responsive Images rules/images-responsive.md

sizes prop, art direction, CDN loaders

Profiling & Backend

Profiling tools and backend optimization patterns.

Rule File Key Pattern

React Profiling rules/profiling-react.md

DevTools Profiler, flamegraph, render counts

Backend Profiling rules/profiling-backend.md

py-spy, cProfile, memory_profiler, flame graphs

Bundle Analysis rules/profiling-bundle.md

vite-bundle-visualizer, tree shaking, performance budgets

LLM Inference

High-performance LLM inference with vLLM, quantization, and speculative decoding.

Rule File Key Pattern

vLLM Deployment rules/inference-vllm.md

PagedAttention, continuous batching, tensor parallelism

Quantization rules/inference-quantization.md

AWQ, GPTQ, FP8, INT8 method selection

Speculative Decoding rules/inference-speculative.md

N-gram, draft model, 1.5-2.5x throughput

Caching

Backend Redis caching and LLM prompt caching for cost savings and performance.

Rule File Key Pattern

Redis & Backend rules/caching-redis.md

Cache-aside, write-through, invalidation, stampede prevention

HTTP & Prompt rules/caching-http.md

HTTP cache headers, LLM prompt caching, semantic caching

Query & Data Fetching

TanStack Query v5 patterns for prefetching and optimistic updates.

Rule File Key Pattern

Prefetching rules/query-prefetching.md

Hover prefetch, route loaders, queryOptions, Suspense

Optimistic Updates rules/query-optimistic.md

Optimistic mutations, rollback, cache invalidation

Sustainability

Digital sustainability patterns for reducing carbon footprint and energy usage.

Rule File Key Pattern

Sustainability UX rules/sustainability-ux.md

Page weight budgets, AVIF/WebP, lazy loading, dark mode

Quick Start Example

// LCP: Priority hero image with SSR import Image from 'next/image';

export default async function Page() { const data = await fetchHeroData(); return ( <Image src={data.heroImage} alt="Hero" priority placeholder="blur" sizes="100vw" fill /> ); }

Key Decisions

Decision Recommendation

Memoization Let React Compiler handle it (2026 default)

Lists 100+ items Use TanStack Virtual

Image format AVIF with WebP fallback (30-50% smaller)

LCP content SSR/SSG, never client-side fetch

Code splitting Per-route for most apps, per-component for heavy widgets

Prefetch strategy On hover for nav links, viewport for content

Quantization AWQ for 4-bit, FP8 for H100/H200

Bundle budget Hard fail in CI to prevent regression

Common Mistakes

  • Client-side fetching LCP content (delays render)

  • Images without explicit dimensions (causes CLS)

  • Lazy loading LCP images (delays largest paint)

  • Heavy computation in event handlers (blocks INP)

  • Layout-shifting animations (use transform instead)

  • Lazy loading tiny components < 5KB (overhead > savings)

  • Missing error boundaries on lazy components

  • Using GPTQ without calibration data

  • Not benchmarking actual workload patterns

  • Only measuring in lab environment (need RUM)

Related Skills

  • ork:react-server-components-framework

  • Server-first rendering

  • ork:vite-advanced

  • Build optimization

  • caching

  • Cache strategies for responses

  • ork:monitoring-observability

  • Production monitoring and alerting

  • ork:database-patterns

  • Query and index optimization

  • ork:llm-integration

  • Local inference with Ollama

Capability Details

lcp-optimization

Keywords: LCP, largest-contentful-paint, hero, preload, priority, SSR Solves:

  • Optimize hero image loading

  • Server-render critical content

  • Preload and prioritize LCP resources

inp-optimization

Keywords: INP, interaction, responsiveness, long-task, transition, yield Solves:

  • Break up long tasks with scheduler.yield

  • Defer non-urgent updates with useTransition

  • Optimize event handler performance

cls-prevention

Keywords: CLS, layout-shift, dimensions, aspect-ratio, font-display Solves:

  • Reserve space for dynamic content

  • Prevent font flash and image pop-in

  • Use transform for animations

react-compiler

Keywords: react-compiler, auto-memo, memoization, React 19 Solves:

  • Enable automatic memoization

  • Identify when manual memoization needed

  • Verify compiler is working

virtualization

Keywords: virtual, TanStack, large-list, scroll, overscan Solves:

  • Render 100+ item lists efficiently

  • Dynamic height virtualization

  • Window scrolling patterns

lazy-loading

Keywords: React.lazy, Suspense, code-splitting, dynamic-import Solves:

  • Route-based code splitting

  • Component lazy loading with error boundaries

  • Prefetch on hover and viewport

image-optimization

Keywords: next/image, AVIF, WebP, responsive, blur-placeholder Solves:

  • Next.js Image component patterns

  • Format selection and quality settings

  • Responsive sizing and CDN configuration

profiling

Keywords: profiler, flame-graph, py-spy, DevTools, bundle-analyzer Solves:

  • Profile React renders and backend code

  • Generate and interpret flame graphs

  • Analyze and optimize bundle size

inp-advanced

Keywords: INP, scheduler-yield, layout-thrashing, third-party-scripts, requestAnimationFrame Solves:

  • Break long tasks with scheduler.yield()

  • Audit and defer blocking third-party scripts

  • Avoid synchronous layout thrashing in event handlers

  • Optimize form submissions, dropdowns, accordions, filters

sustainability

Keywords: sustainability, carbon-footprint, page-weight, green-ux, dark-mode, lazy-loading Solves:

  • Enforce page weight budgets (< 1MB)

  • Eliminate auto-playing videos and heavy decorative animations

  • Serve optimized image formats (AVIF/WebP)

  • Implement cursor-based pagination to prevent over-fetching

llm-inference

Keywords: vllm, quantization, speculative-decoding, inference, throughput Solves:

  • Deploy LLMs with vLLM for production

  • Choose quantization method for hardware

  • Accelerate generation with speculative decoding

References

Load on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>") :

File Content

rum-setup.md

Real User Monitoring

react-compiler-migration.md

Compiler adoption

tanstack-virtual-patterns.md

Virtualization patterns

vllm-deployment.md

Production vLLM config

quantization-guide.md

Method comparison

cdn-setup.md

Image CDN configuration

cc-prompt-cache-guide.md

CC 2.1.72 prompt cache optimization, stable-first prompt structure

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