What types of performance tests can I run?

You can design and execute load, stress, spike, and endurance tests to evaluate system behavior under various traffic conditions.

Does this skill provide visual data?

Yes, the skill generates comprehensive reports that include percentiles, performance graphs, and detailed metric analysis for better visualization.

Can I use this for API testing?

Absolutely. It is specifically designed to test endpoints by simulating concurrent users and ramping up traffic over defined durations to measure API efficiency.

How does it identify system bottlenecks?

It monitors response times, throughput, and error rates during tests to pinpoint issues related to CPU, memory, database, or network constraints.

Performance Testing Suite

Name: Performance Testing Suite
Author: jeremylongshore

byjeremylongshore

•

884

セキュリティとテスト

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

概要

The Performance Testing Suite skill empowers Claude to act as a performance engineer by automating the entire testing lifecycle using the performance-test-suite plugin. It allows users to simulate various traffic patterns—including load, stress, spike, and endurance tests—to evaluate system stability and scalability under different conditions. By analyzing critical metrics such as response times, throughput, and resource utilization, the skill identifies specific bottlenecks and provides actionable recommendations and detailed reports to ensure your application can handle real-world demands.

主な機能

Real-time metric collection for response times, throughput, and error rates
Detailed report generation including percentiles and performance graphs
884 GitHub stars
Automated configuration of load, stress, spike, and endurance tests
Comprehensive bottleneck identification for CPU, memory, and database issues
Actionable optimization recommendations based on empirical test data

ユースケース

Validating system stability during sudden traffic spikes or marketing events
Determining an API's breaking point under extreme stress conditions
Detecting long-term memory leaks and stability issues via endurance testing

概要

主な機能

Real-time metric collection for response times, throughput, and error rates
Detailed report generation including percentiles and performance graphs
884 GitHub stars
Automated configuration of load, stress, spike, and endurance tests
Comprehensive bottleneck identification for CPU, memory, and database issues
Actionable optimization recommendations based on empirical test data

ユースケース

Validating system stability during sudden traffic spikes or marketing events
Determining an API's breaking point under extreme stress conditions
Detecting long-term memory leaks and stability issues via endurance testing