Performance Optimization

VerifiedSafe

Provides performance optimization patterns covering Core Web Vitals, React render optimization with memoization and virtualization, lazy loading and code splitting, image optimization (AVIF/WebP, responsive images), backend profiling (py-spy, React DevTools), and LLM inference optimization (vLLM, quantization). Use when aiming to improve page speed, debug slow renders, optimize bundle size, reduce image payload, profile backend performance, or deploy LLMs efficiently.

Sby Skills Guide Bot
DevelopmentAdvanced
6/2/2026
Claude Code
#performance#core-web-vitals#react-compiler#lazy-loading#caching

Recommended for

Automated summary

Optimizes web application performance by improving Core Web Vitals, React rendering, lazy loading, images, backend profiling, and LLM inference.

Strengths

  • Comprehensive coverage of modern metrics (LCP, INP, CLS) with 2026 thresholds
  • Actionable strategies for React 19+ (compiler, memoization, virtualization)
  • Image optimization and lazy loading (AVIF, code splitting)
  • Backend profiling and LLM inference optimization (vLLM, quantization)

Limitations

  • Requires prior knowledge of web performance concepts
  • Some optimizations (e.g., React Compiler) may require dependency updates
  • Does not cover automated performance testing or production observability
When to use it

Use this skill when you need to improve page load time, interactivity, and Lighthouse scores, or optimize React rendering and backend performance.

When not to use it

Avoid using it for quick performance fixes without prior analysis, or if your project is still in early prototyping.

Security analysis

Safe
Quality score90/100

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.

No concerns found

How this analysis is made

Examples

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

From the file to a first result

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View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/performance-optimization-mmbizk28/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/performance-optimization-mmbizk28' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/performance-optimization-mmbizk28/download' --output '.skill-downloads/performance-optimization-mmbizk28/SKILL.md.part' && mv '.skill-downloads/performance-optimization-mmbizk28/SKILL.md.part' '.skill-downloads/performance-optimization-mmbizk28/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

Environment declared by the author: Claude Code 2.1.59+.

Original excerpt: Quick Reference
CategoryRulesImpactWhen to Use
Core Web Vitals3CRITICALLCP, INP, CLS optimization with 2026 thresholds
Render Optimization3HIGHReact Compiler, memoization, virtualization
Lazy Loading3HIGHCode splitting, route splitting, preloading
Image Optimization3HIGHNext.js Image, AVIF/WebP, responsive images
Profiling & Backend3MEDIUMReact DevTools, py-spy, bundle analysis
LLM Inference3MEDIUMvLLM, quantization, speculative decoding
Caching2HIGHRedis cache-aside, prompt caching, HTTP cache headers
Query & Data Fetching2HIGHTanStack Query prefetching, optimistic updates, rollback

Total: 22 rules across 8 categories

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/performance-optimization-mmbizk28/SKILL.md' && test -s '.skill-downloads/performance-optimization-mmbizk28/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/performance' && cp -R '.skill-downloads/performance-optimization-mmbizk28' '.claude/skills/performance'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/performance-optimization-mmbizk28'

openskills read 'performance-optimization-mmbizk28'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/performance-optimization-mmbizk28/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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