Measure browser performance metrics like TTFB, FCP, and LCP via the browse daemon.
npx skills add https://github.com/256javy/safia --skill benchmark-256javy
Please help me install this Agent Skill. Skill: benchmark Source: https://github.com/256javy/safia/tree/main/.claude/skills/gstack/benchmark Command: npx skills add https://github.com/256javy/safia --skill benchmark-256javy
Web performance often drifts unnoticed until user experience degrades. This skill provides automated measurement, baseline capture, and regression detection for page load timings and resource sizing.
Run /benchmark <url> to perform a full performance audit against the target page.
High-intent search queries and answers about installing and using this skill.
You can measure web performance metrics like LCP and TTFB by running an audit against a target URL using the browse daemon to collect core timings and resource sizing data, which establishes a performance baseline for your deployments.
Yes, you can detect browser performance regressions in PR workflows by integrating this benchmarking process to flag page load timing drifts and bundle-size increases before merging code changes, preventing unnoticed web vital degradation.
The best way to establish a baseline for page load timings is to collect DOM timings, TTFB, FCP, and LCP across multiple pages and deployments, capturing and reporting results using structured JSON and Markdown outputs for trend analysis.
You can compare core web vitals across multiple pages by running benchmark audits against target URLs to capture baseline metrics, then analyzing the generated JSON and Markdown outputs to surface regressions and actionable trends.
Yes, web performance benchmarking works without additional dependencies. The skill operates independently using the browse daemon to measure TTFB, FCP, LCP, and related metrics, requiring no external packages to execute end-to-end audits and report results.
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