Can it identify specific hardware bottlenecks?

Absolutely; it identifies performance issues related to CPU usage, memory leaks, database latency, and network constraints.

How do I configure test parameters like concurrent users?

You can provide your requirements in natural language, such as 'ramp up to 200 users over 10 minutes,' and Claude will automatically configure the test parameters for you.

What types of performance tests can this skill run?

This skill can design and execute load tests, stress tests to find system breaking points, spike tests for sudden traffic surges, and endurance tests for long-term stability.

Does this skill provide visual reports?

Yes, the skill generates comprehensive reports that include performance graphs, percentile data, and specific actionable recommendations for optimization.

Performance Test Suite

Name: Performance Test Suite
Author: intent-solutions-io

byintent-solutions-io

보안 및 테스팅

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

소개

The Performance Test Suite skill empowers Claude to proactively manage system reliability by automating complex performance testing workflows. It enables developers to simulate various traffic patterns—including load, spike, and stress scenarios—to evaluate how applications handle concurrency and identify critical failures in CPU, memory, or database layers. By generating comprehensive reports with actionable insights and metric visualizations, this skill helps engineering teams ensure their software remains stable, scalable, and responsive under any production condition.

주요 기능

Automated configuration of load, stress, spike, and endurance tests
0 GitHub stars
Real-time tracking of response times, throughput, and error rates
Comprehensive reporting with percentiles, graphs, and optimization advice
Integration with system metrics for deep-dive performance analysis
Identification of bottlenecks in CPU, memory, database, and network layers

사용 사례

Validating API responsiveness under high concurrent user loads
Determining the breaking point of a checkout process via stress testing
Detecting long-term memory leaks and stability issues through endurance testing

소개

주요 기능

Automated configuration of load, stress, spike, and endurance tests
0 GitHub stars
Real-time tracking of response times, throughput, and error rates
Comprehensive reporting with percentiles, graphs, and optimization advice
Integration with system metrics for deep-dive performance analysis
Identification of bottlenecks in CPU, memory, database, and network layers

사용 사례

Validating API responsiveness under high concurrent user loads
Determining the breaking point of a checkout process via stress testing
Detecting long-term memory leaks and stability issues through endurance testing