Can it identify specific hardware bottlenecks?

Yes, it analyzes metrics to pinpoint performance issues specifically related to CPU usage, memory consumption, database queries, or network latency.

Does it provide visual reports?

Yes, the skill generates comprehensive reports that include performance percentiles, graphs, and structured recommendations for system improvements.

Is it possible to automate these tests?

Yes, this skill can be integrated with deployment and monitoring plugins to automatically validate performance benchmarks as part of your development workflow.

Can I use this for API development?

Absolutely. It is designed to test API endpoints, allowing you to specify parameters like target users, duration, and specific routes to analyze response times.

What types of performance tests can this skill perform?

The skill supports a variety of testing types including load testing for standard traffic, stress testing to find breaking points, spike testing for sudden surges, and endurance testing for long-term stability.

Performance Testing Suite

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

byintent-solutions-io

Security & Testing

Automates the design, execution, and analysis of comprehensive performance tests to identify system bottlenecks and optimize scalability.

About

This skill empowers Claude to function as a performance engineer, leveraging the performance-test-suite plugin to conduct rigorous testing scenarios including load, stress, spike, and endurance testing. It handles the end-to-end workflow from configuring user ramp-up times and durations to monitoring critical system metrics like response times, throughput, and error rates. By analyzing collected data, it identifies bottlenecks across CPU, memory, database, and network layers, providing actionable recommendations and detailed reports to ensure system stability under pressure.

Key Features

Advanced bottleneck identification across hardware and software layers
CI/CD integration for automated performance validation after code changes
Automated test design for load, stress, spike, and endurance scenarios
Real-time collection of response times, throughput, and error metrics
Detailed reporting with percentiles, performance graphs, and insights
0 GitHub stars

Use Cases

Finding the breaking point of critical business workflows through gradual stress testing
Detecting long-term memory leaks or stability issues via endurance testing
Validating API scalability by simulating hundreds of concurrent users with custom ramp-up periods

About

Key Features

Advanced bottleneck identification across hardware and software layers
CI/CD integration for automated performance validation after code changes
Automated test design for load, stress, spike, and endurance scenarios
Real-time collection of response times, throughput, and error metrics
Detailed reporting with percentiles, performance graphs, and insights
0 GitHub stars

Use Cases

Finding the breaking point of critical business workflows through gradual stress testing
Detecting long-term memory leaks or stability issues via endurance testing
Validating API scalability by simulating hundreds of concurrent users with custom ramp-up periods