Detect performance regressions by comparing baseline and current metrics across PRs.
npx skills add https://github.com/huichen/gstack --skill benchmark-huichen
Please help me install this Agent Skill. Skill: benchmark Source: https://github.com/huichen/gstack/tree/main/benchmark Command: npx skills add https://github.com/huichen/gstack --skill benchmark-huichen
This Skill helps teams detect performance regressions by establishing baselines for page load times, Core Web Vitals, and resource sizes, and by comparing current runs against historical data to surface regressions early.
Run the /benchmark command with a URL to capture baselines and compare performance across revisions.
High-intent search queries and answers about installing and using this skill.
Detect web performance regressions by capturing baseline metrics and comparing current page load times against historical data to surface slowdowns early in your PRs.
Baseline performance comparison uses deterministic timing metrics such as TTFB, FCP, LCP, and resource sizes collected via in-browser timing and a browse daemon to track page load regressions accurately.
Capture a baseline for page load performance by running the benchmark command with a URL, which records key timing metrics and resource sizes to establish a historical reference for future comparisons.
Yes, you can analyze historical performance trends across branches and deployments by storing collected metrics to identify slowdowns over time and receive actionable recommendations to fix bottlenecks.
Performance benchmarking requires no external dependencies, relying on a browse daemon and in-browser timing to collect deterministic Core Web Vitals and resource sizes for baseline and regression analysis.
binfen1Measure performance regressions with browse daemon baselines across PRs.
ruvnetDetect performance bottlenecks in Claude Flow swarm operations.
Chang-Shih-YungMonitor production URLs for console errors, performance regressions, and page failures.
yocxy2Measure page load times, Core Web Vitals, and resource sizes to detect performance regressions.
