Perform browser-based performance audits
SkillWeb & browsingGuides your agent to audit slow page loads and verify performance bottlenecks before suggesting fixes.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Perform browser-based performance audits skill
About this capability
Use when auditing slow page loads, heavy assets, or rendering delays related to Perform browser-based performance audits. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
What this skill tells your AI
The instructions your AI receives, as published by thedaviddias/front-end-checklist in skills/browser-required/SKILL.md and read by ahel’s review.
Static analysis alone cannot simulate the complex rendering, script execution, and layout processes of modern web browsers, which is essential for capturing real-world performance.
Quick Reference
- Use real browser engines to capture runtime metrics (LCP, CLS, INP)
- Synthetic tests in full browsers reveal execution bottlenecks
- Verify performance across different device and connection simulations
Check
Ensure that performance audits are conducted in an environment that executes JavaScript and renders the page (e.g., Lighthouse, Puppeteer).
Fix
Integrate browser-based testing tools like Lighthouse or WebPageTest into the development workflow and CI/CD pipeline.
Explain
Explain the limitations of static analysis for performance and why a full browser environment is necessary.
Code Review
Review the routes, assets, and loading behavior that affect Perform browser-based performance audits. 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/browser-required
Signals
- GitHub stars
- 74k
- Forks
- 7k
- Last commit
- Aug 2026
ahel review
K1binfo
installs-packages (in references/rule.md)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Catalog kind
- skill
- Gateway key
browser-required- Source
- github.com/thedaviddias/front-end-checklist