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largest-contentful-paint

Audit slow page loads by measuring LCP, the time until the largest visible content appears. Identify bottlenecks in images, server responses, and rendering, then recommend changes supported by measurements.

OriginalShow the original description

Use when auditing slow page loads, heavy assets, or rendering delays related to Optimize largest contentful paint. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.

AI rating80/ 100See how to install

Good for

  • Find why a page's main content appears slowly
  • Review hero image loading
  • Prioritize fixes using Lighthouse measurements
  • Review code affecting initial page rendering

Overview

What it does

largest-contentful-paint examines LCP, the time it takes for the largest content on a page to appear, and helps improve slow loading. It checks image formats and sizes, preloading of critical resources, and server response times. Suggested changes follow the causes identified through measurement. During code reviews, it points to specific files, requests, or rendering steps that add unnecessary work.

When it helps

Use it to investigate pages where the main image or primary content appears slowly. Measurement results also help you decide whether to start with image delivery or server response times. The improvement target is an LCP below 2.5 seconds, giving the review a concrete timing goal.

Example requests

  • “Measure LCP with Lighthouse and show the causes of slow loading and possible fixes.”
  • “Review the main image’s preload settings and size, and identify what is delaying its display.”

Notes

Before recommending changes, confirm the cause using DevTools, Lighthouse, PageSpeed Insights, or data from real usage environments. Recommendations must follow those findings; image preloading and CDN use should not be suggested as blanket changes without measurement.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodIt specifies investigating display delays and confirming their causes through measurement before proposing improvements.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
BPartly lackingIt names measurement tools and a 2.5-second target but does not provide implementation steps for individual improvements.
SafetyAre sending data, deleting files, and running commands disclosed?
AGoodIt requires measurement before recommending changes and gives no instructions to delete files or retrieve credentials.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt names Lighthouse and PageSpeed Insights but provides no setup or usage instructions.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 23, 2026. Treat it as a guide and read the original before installing.

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Files included (2)

  • SKILL.md1.7 KB
  • references/rule.md4.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Optimize largest contentful paint

LCP is the most important Core Web Vital for perceived load speed—it measures when the main content becomes visible, directly impacting user perception and SEO rankings.

Quick Reference

  • LCP measures when the largest element renders—target under 2.5s
  • Use preload for hero images and critical resources
  • Optimize image formats and use responsive sizes
  • Reduce server response time (TTFB)

Check

Measure LCP using Lighthouse or PageSpeed Insights. Verify the largest visible element renders within 2.5 seconds.

Fix

Optimize LCP by preloading critical resources, optimizing images, using CDN, and reducing server response time.

Explain

Explain how LCP measures perceived load speed by tracking when the largest visible content element becomes visible.

Code Review

Review the routes, assets, and loading behavior that affect Optimize largest contentful paint. Flag exact files, requests, or rendering steps that add unnecessary network, CPU, or layout cost, and describe the measurement method used to confirm the issue.


For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/performance/largest-contentful-paint

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