perf-tester

Measure and compare application performance metrics with deterministic benchmarks.

Updated May 6, 2026

Search Tags:#testing #performance #optimization #UI #metrics #benchmark

Ready to run

npx skills add https://github.com/htayj/src --skill perf-tester

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: perf-tester
Source: https://github.com/htayj/src/tree/main/dotfiles/pi/.pi/agent/packages/general-dev-suite/skills/perf-tester
Command: npx skills add https://github.com/htayj/src --skill perf-tester

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need to measure and compare the performance of UI components, services, or critical library code by providing deterministic benchmarks and reporting their execution metrics.

Core Features & Use Cases

Performance Benchmarking: Find existing performance harnesses or create reliable tests around realistic fixtures.
Comparison & Reporting: Analyze before/after performance changes, report environment details, variance, and interpretations.
Use Case: Developers can evaluate the impact of code optimizations on application responsiveness by running benchmarks and reviewing performance reports.

Quick Start

Use the perf-tester skill to build a benchmark for your component, execute it against your test fixtures, and review the performance report.

Frequently Asked Questions about perf-tester

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

FAQPage Schema

How do I benchmark UI components to measure performance metrics?▼

To benchmark UI components, you can build deterministic performance tests around realistic fixtures, execute them, and generate a report detailing execution metrics and environment variance for accurate performance measurement.

What is the best way to compare performance before and after code optimization?▼

Comparing performance before and after code optimization requires running deterministic benchmarks on your application services, which then report execution metrics, environment details, and variance to interpret the impact of your changes.

Can I use this to test the performance of critical library code and services?▼

Yes, you can test the performance of critical library code and services by creating reliable benchmark tests that measure execution metrics and report on application responsiveness across different scenarios.

How do I get reliable performance insights when running application benchmarks?▼

You get reliable performance insights by executing deterministic benchmarks that minimize variance, ensuring your performance tests provide consistent measurements and comprehensive reporting for accurate application optimization analysis.

Does performance benchmarking require specific test fixtures for UI components?▼

Performance benchmarking relies on realistic test fixtures for UI components to ensure accurate measurement, allowing you to build a benchmark harness that properly evaluates execution metrics under representative conditions.