Optimisation des Performances

VérifiéSûr

Fournit des modèles d'optimisation des performances couvrant les Core Web Vitals, l'optimisation du rendu React (mémorisation, virtualisation), le chargement différé et le fractionnement de code, l'optimisation des images (AVIF/WebP, images responsives), le profilage backend (py-spy, React DevTools) et l'optimisation de l'inférence LLM (vLLM, quantification). Utilisez cette compétence pour améliorer la vitesse des pages, déboguer des rendus lents, optimiser la taille des bundles, réduire le poids des images, profiler les performances backend ou déployer efficacement des LLM.

Spar Skills Guide Bot
DeveloppementAvancé
9002/06/2026
Claude Code
#performance#core-web-vitals#react-compiler#lazy-loading#caching

Recommandé pour

Notre avis

Améliore les performances des applications web en optimisant les Core Web Vitals, le rendu React, le lazy loading, les images, le profiling backend et l'inférence LLM.

Points forts

  • Couverture complète des métriques modernes (LCP, INP, CLS) avec les seuils 2026
  • Stratégies concrètes pour React 19+ (compilateur, mémoïsation, virtualisation)
  • Optimisation des images et du chargement différé (AVIF, code splitting)
  • Profiling backend et optimisation de l'inférence LLM (vLLM, quantification)

Limites

  • Nécessite une connaissance préalable des concepts de performance web
  • Certaines optimisations (ex: React Compiler) peuvent nécessiter des mises à jour de dépendances
  • Ne couvre pas les tests de performance automatisés ni l'observabilité en production
Quand l'utiliser

Utilisez cette compétence lorsque vous devez améliorer le temps de chargement, la réactivité et le score Lighthouse de votre application, ou optimiser le rendu React et le backend.

Quand l'éviter

Évitez de l'utiliser pour de simples correctifs de performance sans analyse préalable, ou si votre projet est encore en phase de prototypage rapide.

Analyse de sécurité

Sûr
Score qualité90/100

The skill is a documentation-only skill with no executable code, destructive commands, or data exfiltration. Allowed tools are limited to safe read-only operations. No risky patterns present.

Aucun point d'attention détecté

Exemples

Optimize LCP
Analyze my landing page and suggest improvements for Largest Contentful Paint (LCP) using preloading, SSR, and fetchpriority.
Profile React rendering
Identify unnecessary re-renders in my React component and apply memoization or the React Compiler.
Image optimization
Optimize all images on the site by converting to AVIF/WebP, adding responsive sizes, and using lazy loading.

name: performance license: MIT compatibility: "Claude Code 2.1.59+." description: Performance optimization patterns covering Core Web Vitals, React render optimization, lazy loading, image optimization, backend profiling, and LLM inference. Use when improving page speed, debugging slow renders, optimizing bundles, reducing image payload, profiling backend, or deploying LLMs efficiently. tags: [performance, core-web-vitals, lcp, inp, cls, react-compiler, virtualization, lazy-loading, code-splitting, image-optimization, avif, profiling, vllm, quantization, inference, caching, redis, prompt-caching, tanstack-query, prefetching, optimistic-updates] context: fork agent: frontend-ui-developer version: 2.0.0 author: OrchestKit user-invocable: false disable-model-invocation: true complexity: high metadata: category: document-asset-creation allowed-tools:

  • Read
  • Glob
  • Grep
  • WebFetch
  • WebSearch

Performance

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

Quick Reference

| Category | Rules | Impact | When to Use | |----------|-------|--------|-------------| | Core Web Vitals | 3 | 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 |

Total: 22 rules across 8 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 | | 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 |

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

  1. Client-side fetching LCP content (delays render)
  2. Images without explicit dimensions (causes CLS)
  3. Lazy loading LCP images (delays largest paint)
  4. Heavy computation in event handlers (blocks INP)
  5. Layout-shifting animations (use transform instead)
  6. Lazy loading tiny components < 5KB (overhead > savings)
  7. Missing error boundaries on lazy components
  8. Using GPTQ without calibration data
  9. Not benchmarking actual workload patterns
  10. 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

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

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