Can it help identify why my application is crashing?

Yes, by simulating high concurrency and stress scenarios, it helps pinpoint breaking points and performance bottlenecks in your code or infrastructure.

How do I define performance thresholds?

Claude uses this skill to suggest realistic thresholds based on your requirements, such as maximum response times or acceptable error rates during peak load.

Is this skill suitable for API testing?

Absolutely. It is designed to analyze API endpoints and create specific load tests for REST, GraphQL, and other backend services.

Which load testing tools does this skill support?

It primarily supports popular tools such as k6, JMeter, and Artillery, allowing you to generate scripts in the format that best fits your stack.

Load Test Runner

Name: Load Test Runner
Author: jeremylongshore

byjeremylongshore

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883

Seguridad y Pruebas

Generates and executes comprehensive load test scripts to validate application performance and identify architectural bottlenecks.

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The Load Test Runner skill empowers Claude to automate the critical process of performance validation by creating tailored test scripts using industry-standard tools like k6, JMeter, and Artillery. By analyzing application endpoints and specific user requirements, it identifies optimal test scenarios—such as stress, spike, or soak tests—defines performance thresholds, and provides clear execution instructions, ensuring applications remain resilient and scalable under varying traffic conditions.

Características Principales

Identification of stress, spike, soak, and baseline test scenarios
Integration-ready instructions for CI/CD performance gates
Automated script generation for k6, JMeter, and Artillery
Deep analysis of API endpoints and application critical paths
Definition of custom performance thresholds and success criteria
883 GitHub stars

Casos de Uso

Identifying the exact breaking point of an API under high concurrency
Baseline performance benchmarking after significant code changes
Validating system stability before a major production release

Acerca de

Características Principales

Identification of stress, spike, soak, and baseline test scenarios
Integration-ready instructions for CI/CD performance gates
Automated script generation for k6, JMeter, and Artillery
Deep analysis of API endpoints and application critical paths
Definition of custom performance thresholds and success criteria
883 GitHub stars

Casos de Uso

Identifying the exact breaking point of an API under high concurrency
Baseline performance benchmarking after significant code changes
Validating system stability before a major production release