Optimize interaction to next paint
SkillMediaThis skill helps an AI agent audit slow page loads, heavy assets, and rendering delays tied to interaction to next paint. It verifies the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes. Use it when you need to find out why a page feels slow to respond.
Use Optimize interaction to next paint in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Optimize interaction to next paint and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Optimize interaction to next 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 access to a browser with DevTools or a Lighthouse report for the page you want to audit.
What your AI can do with it
- Audit slow page loads and rendering delays
- Verify bottlenecks in DevTools, Lighthouse, or field data
- Check heavy assets that affect interaction to next paint
- Recommend changes only after confirming the real bottleneck
Getting started
- Have access to a browser with DevTools or a Lighthouse report for the page you want to audit.
- Provide the agent with the page URL or the performance data you already collected.
- Ask the agent to audit slow page loads, heavy assets, or rendering delays related to interaction to next paint.
- Review the agent's verification of the bottleneck before applying any recommended changes.
What this skill tells your AI
The instructions your AI receives, as published by thedaviddias/front-end-checklist in skills/interaction-to-next-paint/SKILL.md and read by ahel’s review.
INP replaced FID as a Core Web Vital in 2024—it measures how quickly your page responds to user interactions throughout the session, not just the first interaction.
Quick Reference
- INP measures responsiveness to ALL interactions—target under 200ms
- Break up long tasks into smaller chunks
- Use web workers for heavy computation
- Optimize event handlers and avoid blocking the main thread
Check
Measure INP using Chrome DevTools or PageSpeed Insights. Verify interaction responses occur within 200ms.
Fix
Optimize event handlers, break up long tasks, use web workers for heavy computation, and reduce main thread blocking.
Explain
Explain how INP measures overall page responsiveness by tracking the latency of all user interactions during a page visit.
Code Review
Review the routes, assets, and loading behavior that affect Optimize interaction to next 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/interaction-to-next-paint
Signals
- GitHub stars
- 74k
- Forks
- 7k
- Last commit
- Oct 2026
Questions
- What does this skill do?
- It lets your agent audit slow page loads, heavy assets, and rendering delays related to interaction to next paint, verifying the real bottleneck in DevTools, Lighthouse, or field data before suggesting changes.
- When should I use this skill?
- Use it when you are auditing slow page loads, heavy assets, or rendering delays related to interaction to next paint.
- Does it recommend changes without checking the bottleneck?
- No. It verifies the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
- What tools does it use to verify bottlenecks?
- It verifies bottlenecks in DevTools, Lighthouse, or field data.
- Can it fix the performance issues automatically?
- The skill audits and verifies bottlenecks, then recommends changes. It does not state that it applies fixes automatically.
Advanced
- Item type
- skill
- Key
interaction-to-next-paint- Source
- github.com/thedaviddias/front-end-checklist
github.com/thedaviddias/front-end-checklist