Source profileQuality 90/100

addyosmani/web-quality-skills/skills/core-web-vitals/SKILL.md

core-web-vitals

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".

Source repository stars
2,706
Declared platforms
0
Static risk flags
1
Last source update
2026-08-24
Source checked
2026-08-26

Decision brief

What it does: where it fits

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

Best for

  • Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts".

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/addyosmani/web-quality-skills --skill "skills/core-web-vitals"
Safe inspection promptEditorial

Inspect the Agent Skill "core-web-vitals" from https://github.com/addyosmani/web-quality-skills/blob/afa8da942115f2961fdbfa80807ea0b232ff6c00/skills/core-web-vitals/SKILL.md at commit afa8da942115f2961fdbfa80807ea0b232ff6c00. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Measure before optimizing

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

    Check page-level CrUX p75 data, with a clearly labeled origin fallback when page data is unavailable.Record a browser performance trace under stated conditions. With Chrome DevTools MCP, trace summaries can include CrUX alongside the observed lab metrics.Analyze only the insights associated with the failing metric, then inspect the implicated code and resources.
  2. 02

    The three metrics

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

    Google measures at the 75th percentile — 75% of page visits must meet "Good" thresholds.
  3. 03

    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 - element

    Hero image or videoLarge text blockBackground image
  4. 04

    Common LCP issues

    1. Slow server response (TTFB 800ms)

    Bandwidth/CPU cost. Each prerender is roughly a full page load. Scope where carefully (hrefmatches 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.
  5. 05

    LCP optimization checklist

    Review the “LCP optimization checklist” section in the pinned source before continuing.

    Review and apply the “LCP optimization checklist” source section.

Permission review

Static risk signals and limitations

Network access

medium · line 70

The documentation includes network, browsing, or remote request actions.

fetch('/api/hero-text').then(r => r.json()).then(setHeroText);

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score90/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars2,706SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
addyosmani/web-quality-skills
Skill path
skills/core-web-vitals/SKILL.md
Commit
afa8da942115f2961fdbfa80807ea0b232ff6c00
License
MIT
Collected
2026-08-26
Default branch
main
View the original SKILL.md

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

MetricMeasuresGoodNeeds workPoor
LCPLoading≤ 2.5s2.5s – 4s> 4s
INPInteractivity≤ 200ms200ms – 500ms> 500ms
CLSVisual Stability≤ 0.10.1 – 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:

eagernessTrigger
conservativePointer or touch down
moderateDesktop: 200ms hover, or earlier pointer down; mobile: viewport heuristics
eagerChrome 143+: desktop 10ms hover; mobile 50ms after the anchor enters the viewport
immediateAs 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

SourceUse
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 ConsolePrioritize aggregated real-user outcomes at p75
Lighthouse CLI or PageSpeed InsightsControlled lab fallback when DevTools tools are unavailable
First-party RUMSegment current production experience by route, device, release, and attribution
Raw PerformanceObserverInspect 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

Frequently asked questions

What to verify before installation and use

What does the core-web-vitals source document cover?

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

How do I install core-web-vitals?

The source record exposes this install command: npx skills add https://github.com/addyosmani/web-quality-skills --skill "skills/core-web-vitals". Inspect the command and pinned source before running it.

Which permission-related actions were detected?

Static rules flagged network in the source; the page lists the matching lines and excerpts.