Benchmark real page load metrics against stored baselines to detect regressions.
npx skills add https://github.com/yashs33244/my-mac-claude --skill benchmark-yashs33244
Please help me install this Agent Skill. Skill: benchmark Source: https://github.com/yashs33244/my-mac-claude/tree/main/skills/gstack/benchmark Command: npx skills add https://github.com/yashs33244/my-mac-claude --skill benchmark-yashs33244
Performance regressions slip into production when teams only rely on intuition or one-off checks, and then users notice slow page loads. This Skill measures real page performance, stores a baseline, and flags changes introduced by each PR.
Use case: you are preparing a PR that changes frontend bundles and you want to verify that LCP, load time, request count, and bundle size did not worsen compared to the last known good baseline.
Run benchmark for your site by telling the AI: "Benchmark https://example.com with --baseline before changes, then benchmark again after the changes and report any regressions."
High-intent search queries and answers about installing and using this skill.
To detect web performance regressions in a pull request, benchmark real page load metrics against stored baselines. This Skill compares current PR results with saved baseline data to flag timing, transfer size, and bundle size regressions.
Baseline comparison for Core Web Vitals works by capturing initial benchmark metrics with branch and timestamp context, then evaluating subsequent page loads against that stored baseline to identify any timing or resource regressions.
Yes, you can track bundle size and transfer size changes across specified routes or automatically discovered pages. The benchmarking process applies rule-based regression thresholds to monitor these resource variations per PR.
Real browser performance metrics collected for trend analysis include TTFB, FCP, LCP, DOM timing, load time, request count, and transfer size, extracted using in-page JavaScript evaluation and navigation timing data.
Yes, you need a browse daemon for page navigation to measure page load metrics. The daemon enables in-page JavaScript evaluation to extract performance entries and collect real browser timing data for baseline comparison.
To make slowdowns actionable after identifying performance regressions, review the generated performance budget and trend summaries. These outputs identify the slowest resources to guide targeted fixes for the detected page speed regressions.
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