What metrics are tracked during a performance test?

You can track response time percentiles (p95, p99), error rates, requests per second (RPS), and custom business metrics using built-in trend collectors.

Is it possible to simulate sudden traffic surges?

Yes, the skill includes 'Spike Test' configurations that model sudden, massive increases in traffic to see how your infrastructure handles extreme bursts.

Can this skill help identify memory leaks?

Yes, it includes specialized soak testing patterns designed to run sustained loads over long periods to uncover memory leaks and resource exhaustion.

Which testing tools does this skill support?

The skill provides comprehensive support for k6 (JavaScript-based) and Locust (Python-based), allowing you to choose the tool that best fits your stack.

How does it integrate with CI/CD pipelines?

It includes configuration examples for GitHub Actions that run tests and use tools like jq to validate performance thresholds automatically.

Performance Testing & Load Analysis

Name: Performance Testing & Load Analysis
Author: yonatangross

byyonatangross

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Security & Testing

Validates system stability and scalability by simulating high-traffic scenarios using industry-standard tools like k6 and Locust.

This skill empowers Claude to design and execute robust performance tests, allowing developers to identify system bottlenecks and breaking points before they reach production. It provides production-ready templates for k6 (JavaScript) and Locust (Python) to conduct various testing types, including load, stress, spike, and soak tests. By integrating latency measurements, custom metrics, and threshold validation, it ensures that applications meet critical service level objectives (SLOs) and remain resilient under diverse traffic conditions.

Key Features

01Advanced metric tracking for p95/p99 latency and error rates

02Threshold-based pass/fail validation for performance SLOs

03Pre-configured patterns for Load, Stress, Spike, and Soak testing

0469 GitHub stars

05Multi-tool support for k6 (JavaScript) and Locust (Python) frameworks

06Automated CI/CD integration workflows for GitHub Actions

Use Cases

01Detecting memory leaks and resource degradation via long-running soak tests

02Validating API response times and throughput under concurrent user load

03Identifying system breaking points through incremental stress testing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit performance-testing

For use in Claude.ai and ChatGPT

Download Skill