Optimize largest contentful paint
SkillMedialargest-contentful-paint is a skill for AI agents that audit slow page loads, heavy assets, or rendering delays. It guides the agent to optimize largest contentful paint by first verifying the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
Use Optimize largest contentful paint in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Optimize largest contentful paint and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Optimize largest contentful paint skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have an agent that supports loading skills.
What your AI can do with it
- Audit slow page loads and rendering delays
- Identify heavy assets that slow down rendering
- Verify the actual bottleneck in DevTools
- Check findings against Lighthouse results
- Cross-check with field data before recommending changes
Getting started
- Have an agent that supports loading skills.
- Add the largest-contentful-paint skill to the agent's available skills.
- Provide the page or data you want audited, such as a slow page load report.
- Ask the agent to audit the load and identify what delays rendering.
What this skill tells your AI
The instructions your AI receives, as published by thedaviddias/front-end-checklist in skills/largest-contentful-paint/SKILL.md and read by ahel’s review.
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/en/rules/performance/largest-contentful-paint
Signals
- GitHub stars
- 74k
- Forks
- 7k
- Last commit
- Oct 2026
Questions
- When should this skill be used?
- Use it when auditing slow page loads, heavy assets, or rendering delays related to largest contentful paint.
- Does it recommend changes right away?
- No. It verifies the actual bottleneck in DevTools, Lighthouse, or field data before recommending any changes.
- What tools does it work with?
- It uses DevTools, Lighthouse, or field data to verify the bottleneck.
Advanced
- Item type
- skill
- Key
largest-contentful-paint- Source
- github.com/thedaviddias/front-end-checklist
github.com/thedaviddias/front-end-checklist