Compare baseline and current web page performance metrics to detect regressions.
npx skills add https://github.com/Faeif/linguaquest --skill benchmark-faeif
Please help me install this Agent Skill. Skill: benchmark Source: https://github.com/Faeif/linguaquest/tree/main/.claude/skills/gstack/benchmark Command: npx skills add https://github.com/Faeif/linguaquest --skill benchmark-faeif
Detects and surfaces performance regressions introduced by code changes by comparing current page metrics against established baselines.
Run the benchmark on a URL to collect and compare performance metrics.
High-intent search queries and answers about installing and using this skill.
To detect web performance regressions in a pull request, compare current page metrics against established baselines. This process applies to PR-driven code changes across pages, bundles, and resources to identify timing degradations.
Baseline performance comparison requires web vitals and timings such as TTFB, FCP, LCP, DOMInteractive, DOMComplete, and full load. These metrics are collected to measure page load behavior and track regressions over time.
Automated LCP and TTFB collection for CI trend analysis works by using a browse daemon to collect page timings and writing results to dedicated benchmark reports. This enables trend tracking across multiple PRs.
Yes, you need a browse daemon to measure DOMComplete and full load timings. The daemon is required to actively collect these performance metrics from web pages and generate accurate baseline comparisons.
Web performance benchmark reports for PR regression tracking are stored in the .gstack/benchmark-reports directory. This location captures the generated baselines and trend data for ongoing analysis.
timurgaleevDetect performance regressions by comparing page load timings and resource metrics.
steadyfallCollect end-to-end web performance metrics from the browse daemon across pages.
yashs33244Benchmark real page load metrics against stored baselines to detect regressions.
ligianehuaDetect web performance regressions by comparing current metrics against established baselines.
