benchmark

Measure web performance timings and compare against baselines to surface regressions.

1|Updated Dec 23, 2025
One-click install
npx skills add https://github.com/rkumar261/studio-cast --skill benchmark-rkumar261
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/rkumar261/studio-cast/tree/main/.claude/skills/gstack
Command: npx skills add https://github.com/rkumar261/studio-cast --skill benchmark-rkumar261

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Benchmarking helps product teams detect performance regressions by establishing baselines, repeatedly measuring core timings, and surfacing actionable insights to improve user-perceived speed.

Core Features & Use Cases

  • Capture baseline timing data (TTFB, FCP, LCP, DOMInteractive, DOMComplete, Load) across pages
  • Run current-page measurements and compare against baselines to surface regressions
  • Generate lightweight reports and diffs for PRs to communicate performance changes clearly

Quick Start

Run the benchmark on a URL to capture a baseline and compare current performance against it.

Frequently Asked Questions about benchmark

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect web performance regressions in staging or production?

Web performance baselines capture core timing metrics like TTFB, FCP, and LCP across pages, establishing a reference point to compare current measurements against and identify regressions over time.

How do I establish a repeatable baseline for web timing metrics?

You establish a repeatable baseline by running benchmark measurements on a target URL to capture core timings including TTFB, FCP, LCP, DOMInteractive, DOMComplete, and Load, which then serve as the comparison reference for future runs.

Can I generate performance diff reports for pull requests?

Yes, you can generate lightweight performance diff reports for pull requests by comparing current page measurements against established baselines, clearly communicating timing changes and regressions to reviewers.

What is the best way to compare current page load metrics against a saved baseline?

The best way to compare current page load metrics against a saved baseline is to run a benchmark on the URL, which automatically diffs current timing captures against the stored reference to surface actionable regressions.

Does this benchmarking approach work for both staging and production environments?

Yes, this benchmarking approach works for both staging and production scenarios where performance stability matters, applying repeatable baseline measurements to support delta-based decision support across environments.

When should I not use baseline diffing for performance analysis?

You should avoid baseline diffing for performance analysis when evaluating single-page loads without historical context, as the mechanism requires repeatable baseline captures to accurately surface regressions and timing shifts.