Does this skill help define performance SLAs?

Yes, it helps define specific performance thresholds, such as maximum acceptable response times or error rates, to automatically validate if a test passed or failed.

Can I use this skill in my CI/CD pipeline?

Yes, the skill provides structured scripts and execution instructions that are designed to be easily integrated into automated deployment pipelines for continuous performance monitoring.

What types of performance scenarios can Claude generate?

Claude can create several scenarios including baseline load tests, stress tests to find breaking points, spike tests for sudden traffic surges, and soak tests for long-term stability.

What tools does this skill support for load testing?

This skill supports the generation of scripts for popular performance testing frameworks including k6, JMeter, and Artillery.

Do I need to manually specify every API endpoint?

No, Claude can analyze your application structure and request history to identify critical paths and endpoints automatically, though you can also provide specific targets.

Load Testing Adapter

Name: Load Testing Adapter
Author: intent-solutions-io

byintent-solutions-io

보안 및 테스팅

Generates and executes comprehensive load test scripts to validate application performance and identify architectural bottlenecks.

소개

This skill empowers developers to automate the creation of performance validation scripts using industry-standard tools like k6, JMeter, and Artillery. By analyzing application endpoints and traffic requirements, it generates realistic test scenarios—including stress, spike, and soak tests—while defining critical performance thresholds to ensure software stability under high-concurrency conditions. It is particularly useful for verifying system reliability before major releases or identifying the exact breaking points of an API.

주요 기능

Endpoint analysis for targeted API and web application testing
Step-by-step execution instructions for local and CI/CD environments
Scenario modeling for stress, spike, soak, and baseline testing
Performance threshold definition and validation logic
0 GitHub stars
Automated script generation for k6, JMeter, and Artillery

사용 사례

Establishing baseline latency and throughput metrics for new microservices and APIs
Validating performance regressions after major code deployments to ensure no latency impact
Simulating high-traffic events to identify server breaking points before a product launch

소개

주요 기능

Endpoint analysis for targeted API and web application testing
Step-by-step execution instructions for local and CI/CD environments
Scenario modeling for stress, spike, soak, and baseline testing
Performance threshold definition and validation logic
0 GitHub stars
Automated script generation for k6, JMeter, and Artillery

사용 사례

Establishing baseline latency and throughput metrics for new microservices and APIs
Validating performance regressions after major code deployments to ensure no latency impact
Simulating high-traffic events to identify server breaking points before a product launch