benchmark

Track website performance metrics over time using browser APIs and detect regressions from baselines.

Updated Jun 12, 2026

Search Tags:#benchmarking #web performance #performance monitoring #regression detection #page speed

Ready to run

npx skills add https://github.com/Kushal9889/claude-plugins --skill benchmark-kushal9889

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/Kushal9889/claude-plugins/tree/main/gstack/skills/benchmark
Command: npx skills add https://github.com/Kushal9889/claude-plugins --skill benchmark-kushal9889

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Bash, Read, Write, Glob, AskUserQuestion, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The benchmark Skill solves the problem of monitoring and tracking website performance metrics over time, helping to identify and prevent performance regressions.

Core Features & Use Cases

Performance Regression Detection: Compare current website performance against historical baselines to identify issues.
Baseline Creation: Establish a performance baseline before making changes to a website.
Page Speed Analysis: Analyze page load times and resource sizes.
Use Case: Regularly run the benchmark Skill on a website to ensure that performance remains stable as new features are added or updates are applied.

Quick Start

Run the /benchmark command followed by the URL of the website you want to analyze, for example: /benchmark https://www.example.com.

Frequently Asked Questions about benchmark

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

FAQPage Schema

How do I track website performance metrics over time to prevent regressions?▼

Tracking website performance metrics over time requires collecting page speed data and comparing it against historical baselines. This Skill uses browser-based performance APIs and local metrics collection to establish baselines and detect regressions for frontend development.

How do I create a performance baseline before deploying frontend changes?▼

Creating a performance baseline involves measuring current page load times and resource sizes before applying updates. This Skill establishes baselines using browser-based performance APIs, enabling regular performance analysis to ensure stability as new features are added.

Can I analyze page speed and resource sizes locally for QA testing?▼

Analyzing page speed and resource sizes locally is supported through browser-based performance APIs and local metrics collection. This approach is designed for performance engineering and quality assurance teams to measure page load times directly.

Does website performance monitoring work with Bash scripts for regression detection?▼

Website performance monitoring with regression detection works with Bash scripts as a core dependency. The Skill uses Bash alongside Read, Write, and Glob operations to execute performance tracking and collect metrics locally.

What is the best way to detect performance regressions in web applications?▼

The best way to detect performance regressions is to compare current website performance against historical baselines. By regularly running performance tracking using browser APIs, you can identify issues and prevent regressions as new features are added.