loadtest

Generate and run k6, Artillery, Locust, or JMeter load tests with statistical validation.

26|8|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/arbazkhan971/godmode --skill loadtest
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loadtest
Source: https://github.com/arbazkhan971/godmode/tree/main/skills/loadtest
Command: npx skills add https://github.com/arbazkhan971/godmode --skill loadtest

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Loadtest automates performance and load testing workflows so teams can identify bottlenecks, validate capacity, and quantify regressions before they reach users.

Core Features & Use Cases

  • Baseline & Benchmarking: Establish P50/P95/P99 baselines and throughput for APIs, web apps, databases, or full stacks.
  • Multi-tool Script Generation: Produce and run k6, Artillery, Locust, or JMeter tests with realistic payloads, think time, and thresholds.
  • Statistical Validation & Reporting: Enforce multiple runs, Welch's t-test for significance, and generate concise reports including breaking point and headroom.
  • Use Case: Validate an API endpoint under production-like traffic to find DB connection limits and P99 latency regressions before deployment.

Quick Start

Run a baseline load test against the target endpoint using k6 with realistic payloads and at least five runs to collect P50/P95/P99 percentiles.

Frequently Asked Questions about loadtest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform load testing and establish P95 latency baselines for my APIs?

Load testing establishes P50/P95/P99 latency baselines by generating and running k6, Artillery, Locust, or JMeter scripts with realistic payloads against your APIs to quantify throughput and validate capacity.

What is the best way to run stress and soak tests to find database connection bottlenecks?

Stress and soak tests identify database connection bottlenecks by applying production-like traffic loads to your full-stack systems, isolating breaking points and quantifying available performance headroom before deployment.

Can I use k6 or Artillery to validate API performance under spike traffic scenarios?

Yes, k6 and Artillery validate API performance under spike traffic by generating test scripts with realistic payloads and think time, enforcing multiple runs to ensure statistical significance.

How do I prove performance regressions in API latency using statistical significance?

Prove API latency regressions by enforcing multiple test runs and applying Welch's t-test to validate statistical significance, generating concise reports that highlight breaking points and capacity headroom.

Does load testing support web apps and databases or only API endpoints?

Load testing supports web apps, databases, and full-stack systems alongside APIs, executing load, stress, spike, and soak test scenarios to identify bottlenecks across your entire application architecture.