Performance Lighthouse Runner

The performance-lighthouse-runner skill executes Google Lighthouse audits directly within an AI agent's workflow to evaluate web page performance, accessibility, and best practices. It automates the generation of detailed reports, allowing developers to identify bottlenecks without leaving their coding environment.

When to use it

• Before deploying a new landing page to ensure Core Web Vitals meet target thresholds.
• During iterative development to catch regression in accessibility scores after UI changes.
• To generate automated compliance reports for internal quality assurance pipelines.
• When debugging slow load times by isolating specific resource rendering issues.

Key capabilities

• Runs full Lighthouse audits programmatically against specified URLs.
• Outputs structured performance metrics including First Contentful Paint and Time to Interactive.
• Provides actionable insights on accessibility violations and SEO optimization opportunities.
• Integrates seamlessly into development workflows for continuous performance monitoring.

Example prompts

• "Run a Lighthouse audit on https://example.com and summarize the performance score."
• "Check the accessibility compliance of our new checkout page using Lighthouse."
• "Identify any Core Web Vitals failures in the staging environment and suggest fixes."

Tips & gotchas

Ensure the target URL is publicly accessible, as Lighthouse cannot audit pages behind authentication walls. For accurate results, run audits from a clean browser context to avoid cached resources skewing performance data.