Do I get a report after the test is finished?

Absolutely. Claude generates a comprehensive report that includes key performance indicators, percentiles, graphs, and specific recommendations for optimization.

What types of performance tests can this skill perform?

This skill supports load testing, stress testing (to find breaking points), spike testing (for sudden traffic surges), and endurance testing (for detecting long-term stability issues like memory leaks).

How do I trigger a load test using this skill?

You can trigger it using natural language, such as 'Create a load test for the /api/v1/search endpoint ramping up to 500 users over 5 minutes.'

Can it help me identify specific hardware bottlenecks?

Yes, the skill is designed to identify performance bottlenecks related to CPU usage, memory consumption, database queries, and network latency.

System Performance Testing

Name: System Performance Testing
Author: intent-solutions-io

byintent-solutions-io

Seguridad y Pruebas

Automates the design, execution, and analysis of load, stress, and endurance tests to identify system bottlenecks and optimize performance.

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The Performance Test Suite skill empowers Claude to act as a performance engineer by automating the entire testing lifecycle, from initial test design to final report generation. It supports various testing methodologies including load, stress, spike, and endurance testing to evaluate how systems handle different traffic patterns. By monitoring critical metrics like response times, throughput, and resource utilization (CPU/Memory), this skill provides actionable insights and specific recommendations to resolve bottlenecks before they impact production users.

Características Principales

Real-time performance metrics collection (latency, throughput, error rates)
Comprehensive report generation with graphs and percentiles
Endurance testing for memory leak and stability detection
Identification of CPU, memory, database, and network bottlenecks
Automated load and stress test configuration
0 GitHub stars

Casos de Uso

Simulating traffic spikes to validate auto-scaling configurations
Benchmarking API endpoints under high concurrent user loads
Identifying the breaking point of a checkout process via stress testing

Acerca de

Características Principales

Real-time performance metrics collection (latency, throughput, error rates)
Comprehensive report generation with graphs and percentiles
Endurance testing for memory leak and stability detection
Identification of CPU, memory, database, and network bottlenecks
Automated load and stress test configuration
0 GitHub stars

Casos de Uso

Simulating traffic spikes to validate auto-scaling configurations
Benchmarking API endpoints under high concurrent user loads
Identifying the breaking point of a checkout process via stress testing