Skills addyosmani web-quality-skills Web Quality Skills

core-web-vitals

Use it when:
A page's Core Web Vitals fail: the main content appears late (LCP), clicks respond slowly (INP), or the layout jumps (CLS).
It does:
Checks real-user Chrome data at the 75th percentile, records a browser trace, reads only the insights for the failing metric, fixes the code behind it and re-measures.
You get:
Fixes with lab before-and-after numbers; it won't claim a real-user improvement until new visits show one.
Unlike performance:
That one, its sibling, covers loading and runtime speed in general; this one targets these three metrics and their good, needs-work and poor thresholds.
Install with:
The repo's performance skill: it reads that skill's measurement workflow and real-user monitoring files.

Skill 3 of 6 in the Web Quality Skills bundle, after performance and before accessibility.

Only works inside its bundle: Reads the measurement workflow and the real-user monitoring reference that ship with the performance skill. Install Web Quality Skills instead.

Reads the measurement and real-user monitoring files in the performance skill's folder, so install the repo's performance skill with it.

TL;DR

LCP (Largest Contentful Paint) is when the biggest visible element renders, good at 2.5 seconds or less; INP (Interaction to Next Paint) is how fast the page responds to clicks, taps and key presses, good at 200 ms; CLS (Cumulative Layout Shift) measures unexpected jumps, good at 0.1. Each must be met by 75% of visits. With only source code, it names likely causes but won't call a metric failing without runtime evidence. For LCP it covers slow server response, render-blocking CSS, hero images discovered late, client-side rendering, and Speculation Rules prerendering of the likely next page, with its costs: each prerender is roughly a full page load and fires analytics early. LCP, INP and CLS each have a detailed reference file, read only when a trace or field data points to that metric. It adds quick fixes for Next.js, React and Vue/Nuxt, and recommends Google's web-vitals library over hand-written observers for production data.

Summarizes the skill at afa8da9.

npx skills add https://github.com/addyosmani/web-quality-skills --skill core-web-vitals
Total Downloads
34,300 on skills.sh, Nov 9, 2026
Repo stars
3,058 addyosmani/web-quality-skills
First seen
Jan 20, 2026 on skills.sh
Weekly Downloads
1.2K
+16% over the 8 weeks to Nov 9
Weekly values
Week toInstalls
Sep 211,074
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Oct 51,030
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Oct 191,058
Oct 261,118
Nov 21,057
Nov 91,245
Category

Find root causes, review code and test what you built.

Everything for building software: planning, coding, debugging, design, frameworks, cloud, agents and skills.

Type

A multi-step process the agent follows: interview, debug, run a TDD loop, review.

Effect

Its own steps create or change files, git state or local tools.

Needs

Instructions only. Works in any agent that supports skills.

Publisher

Everyone else. Unverified vendor claims default to community.

Topics

SKILL.md

From addyosmani/web-quality-skills at afa8da9. Checked daily, last changed Nov 6, 2026.

Frontmatter
name: core-web-vitals
description: Optimize Core Web Vitals (LCP, INP, CLS) for better page experience using field and lab evidence. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts".
license: MIT
metadata:
  author: web-quality-skills
  version: "2.0"

Core Web Vitals optimization

Targeted optimization for the three Core Web Vitals using field data to identify user impact and browser traces to diagnose causes.

Measure before optimizing

When a runnable URL is available, read the performance measurement workflow. Prefer this sequence:

  1. Check page-level CrUX p75 data, with a clearly labeled origin fallback when page data is unavailable.
  2. Record a browser performance trace under stated conditions. With Chrome DevTools MCP, trace summaries can include CrUX alongside the observed lab metrics.
  3. Analyze only the insights associated with the failing metric, then inspect the implicated code and resources.
  4. Re-run equivalent lab measurements after the fix. Do not claim an immediate field improvement; CrUX and first-party RUM need new user visits.

If only source code is available, identify likely causes but do not claim that LCP, INP, or CLS is failing without runtime evidence.

The three metrics

Metric Measures Good Needs work Poor
LCP Loading ≤ 2.5s 2.5s – 4s > 4s
INP Interactivity ≤ 200ms 200ms – 500ms > 500ms
CLS Visual Stability ≤ 0.1 0.1 – 0.25 > 0.25

Google measures at the 75th percentile — 75% of page visits must meet "Good" thresholds.


LCP: Largest Contentful Paint

LCP measures when the largest visible content element renders. Usually this is:

  • Hero image or video
  • Large text block
  • Background image
  • <svg> element
Common LCP issues

1. Slow server response (TTFB > 800ms)

Fix: CDN, caching, optimized backend, edge rendering

2. Render-blocking resources

<!-- ❌ Blocks rendering -->
<link rel="stylesheet" href="/all-styles.css">

<!-- ✅ Critical CSS inlined, rest deferred -->
<style>/* Critical above-fold CSS */</style>
<link rel="preload" href="/styles.css" as="style" 
      onload="this.onload=null;this.rel='stylesheet'">

3. Slow resource load times

<!-- ❌ LCP image is discovered only after a stylesheet loads -->
<div class="hero"></div>

<!-- ✅ Discoverable in initial HTML and prioritized -->
<link rel="preload" href="/hero.webp" as="image" fetchpriority="high">
<img src="/hero.webp" alt="Hero" fetchpriority="high">

Prefer a discoverable <img> with fetchpriority="high". Add the preload only when the trace shows that the resource would otherwise be discovered late; duplicate or speculative preloads can compete for bandwidth.

4. Client-side rendering delays

// ❌ Content loads after JavaScript
useEffect(() => {
  fetch('/api/hero-text').then(r => r.json()).then(setHeroText);
}, []);

// ✅ Server-side or static rendering
// Use SSR, SSG, or streaming to send HTML with content
export async function getServerSideProps() {
  const heroText = await fetchHeroText();
  return { props: { heroText } };
}

5. Make navigations instant with the Speculation Rules API

For sites with predictable same-origin journeys, prerendering a likely next page can make a successful subsequent navigation much faster. Treat this as a measured navigation optimization, not a substitute for fixing the current page's LCP.

<script type="speculationrules">
{
  "prerender": [{
    "where": { "href_matches": "/*" },
    "eagerness": "moderate"
  }]
}
</script>

Current Chrome behavior is specific enough to guide the choice:

eagerness Trigger
conservative Pointer or touch down
moderate Desktop: 200ms hover, or earlier pointer down; mobile: viewport heuristics
eager Chrome 143+: desktop 10ms hover; mobile 50ms after the anchor enters the viewport
immediate As soon as the rules are observed

Start conservatively and measure prediction hit rate, transferred bytes, server load, and navigation improvement before expanding the rules. Recheck Chrome's maintained eagerness documentation before hardcoding timing-sensitive behavior.

Caveats:

  • Bandwidth/CPU cost. Each prerender is roughly a full page load. Scope where carefully (href_matches patterns, exclude logout/checkout) and avoid immediate outside small sites.
  • Side effects fire early. Analytics, ads, and any code that runs on load will fire when the prerender starts, not when the user navigates. Gate side effects on the prerenderingchange event or document.prerendering.
  • Chromium-only. Safari and Firefox ignore the script — it's a progressive enhancement, never a regression.
LCP optimization checklist
- [ ] TTFB < 800ms (use CDN, edge caching)
- [ ] LCP resource is discoverable in initial HTML and prioritized; preload only if the trace shows late discovery
- [ ] LCP image optimized (WebP/AVIF, correct size)
- [ ] Critical CSS inlined (< 14KB)
- [ ] No render-blocking JavaScript in <head>
- [ ] Fonts don't block text rendering (font-display: swap)
- [ ] LCP element in initial HTML (not JS-rendered)
- [ ] Speculation Rules added for likely-next navigations (moderate eagerness)
LCP element identification

This snippet diagnoses the current page session. It is not field data.

// Find your LCP element
new PerformanceObserver((list) => {
  const entries = list.getEntries();
  const lastEntry = entries[entries.length - 1];
  console.log('LCP element:', lastEntry.element);
  console.log('LCP time:', lastEntry.startTime);
}).observe({ type: 'largest-contentful-paint', buffered: true });

INP: Interaction to Next Paint

INP measures responsiveness across clicks, taps, and key presses during a visit. Diagnose its input delay, processing time, and presentation delay separately; a slow interaction may involve main-thread contention before the handler, expensive application work, or delayed rendering after it.

When field INP is poor or a trace identifies a slow interaction, read the INP reference for trace interpretation, yielding patterns, third-party and rendering causes, a single-session observer, and first-party attribution.


CLS: Cumulative Layout Shift

CLS measures unexpected layout shifts across a page visit. Use field attribution or a trace to identify the shifted node and the trigger; do not assume the visible victim caused the shift.

When field CLS is poor or a trace reports shifts, read the CLS reference for reserved-space patterns, dynamic content, font and animation fixes, a debugging observer, and a verification checklist.


Measurement sources

Source Use
Browser performance trace (Chrome DevTools MCP: performance_start_trace) Observe one load or interaction and diagnose focused insights; use included CrUX context when available
CrUX or Search Console Prioritize aggregated real-user outcomes at p75
Lighthouse CLI or PageSpeed Insights Controlled lab fallback when DevTools tools are unavailable
First-party RUM Segment current production experience by route, device, release, and attribution
Raw PerformanceObserver Inspect one page session during debugging

Do not route performance through Chrome DevTools MCP's lighthouse_audit; that capability intentionally covers non-performance Lighthouse categories. Do not compare a single lab value directly with a field p75 as if they were equivalent samples.

When adding or reviewing production collection, read the first-party RUM reference. Prefer the web-vitals library because raw browser APIs do not by themselves implement every Core Web Vital's lifecycle and reporting rules.


Framework quick fixes

Next.js
// LCP: Use next/image with priority
import Image from 'next/image';
<Image src="/hero.jpg" priority fill alt="Hero" />

// INP: Use dynamic imports
const HeavyComponent = dynamic(() => import('./Heavy'), { ssr: false });

// CLS: Image component handles dimensions automatically
React
// LCP: Preload in head
<link rel="preload" href="/hero.jpg" as="image" fetchpriority="high" />

// INP: Memoize and useTransition
const [isPending, startTransition] = useTransition();
startTransition(() => setExpensiveState(newValue));

// CLS: Always specify dimensions in img tags
Vue/Nuxt
<!-- LCP: Use nuxt/image with preload -->
<NuxtImg src="/hero.jpg" preload loading="eager" />

<!-- INP: Use async components -->
<component :is="() => import('./Heavy.vue')" />

<!-- CLS: Use aspect-ratio CSS -->
<img :style="{ aspectRatio: '16/9' }" />

References