Does it provide visual reports?

Yes, the skill generates comprehensive reports that include percentiles, graphs, and specific recommendations for performance improvement.

What types of performance tests can this skill perform?

This skill supports load testing, stress testing, spike testing, and endurance testing to evaluate system behavior under various traffic conditions.

Can I use this skill for API testing?

Yes, it is specifically designed to create and execute load tests for APIs, providing detailed reports on throughput and error rates.

How does it help identify performance bottlenecks?

It monitors key metrics like response time, CPU usage, and database latency during tests to pinpoint exactly where a system fails or slows down.

Performance Test Suite

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

byintent-solutions-io

セキュリティとテスト

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

概要

The Performance Test Suite skill empowers Claude to orchestrate complex testing workflows, including load, stress, spike, and endurance tests. By analyzing real-time metrics such as response times, throughput, and error rates, the skill identifies critical bottlenecks across CPU, memory, and database layers. It provides actionable recommendations and comprehensive visual reporting, making it an essential tool for developers looking to ensure system stability and scalability before production deployment.

主な機能

Comprehensive report generation with percentiles and visual graphs
Automated test design for load, stress, spike, and endurance scenarios
0 GitHub stars
Identification of CPU, memory, database, and network bottlenecks
Iterative testing workflows to validate system optimization
Real-time performance metric collection and throughput analysis

ユースケース

Determining system breaking points through incremental stress testing and failure analysis
Detecting memory leaks and long-term stability issues via endurance testing
Validating API scalability by simulating hundreds of concurrent users during peak traffic

概要

主な機能

Comprehensive report generation with percentiles and visual graphs
Automated test design for load, stress, spike, and endurance scenarios
0 GitHub stars
Identification of CPU, memory, database, and network bottlenecks
Iterative testing workflows to validate system optimization
Real-time performance metric collection and throughput analysis

ユースケース

Determining system breaking points through incremental stress testing and failure analysis
Detecting memory leaks and long-term stability issues via endurance testing
Validating API scalability by simulating hundreds of concurrent users during peak traffic