load-test-planner

Design evidence-based load, stress, soak, and spike test plans.

2|Updated Jul 6, 2026
One-click install
npx skills add https://github.com/nguyenpv1980-wq/Project-Aegis --skill load-test-planner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: load-test-planner
Source: https://github.com/nguyenpv1980-wq/Project-Aegis/tree/main/.claude/skills/load-test-planner
Command: npx skills add https://github.com/nguyenpv1980-wq/Project-Aegis --skill load-test-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns vague performance-testing ideas into evidence-based load plans that reflect real production behavior instead of artificial traffic that proves nothing.

Core Features & Use Cases

  • Evidence-Based Workload Modeling: Builds endpoint mix, write share, arrival patterns, think times, and payload distributions from production evidence.
  • Tenant-Aware Scenario Design: Models many-small and few-whale tenants, includes noisy-neighbor verification, and requires per-tenant measurement.
  • Safety and Validation Planning: Defines target environment, blast radius, third-party handling, ramp shapes, abort criteria, and pass/fail thresholds tied to owned SLO or budget numbers.
  • Use Case: A team preparing for a launch asks for a realistic capacity plan, a soak test, and a whale-tenant burst scenario that can prove whether the system holds up without risking production.

Quick Start

Ask the load-test-planner skill to create an evidence-based load plan for your system, including workload mix, tenant distribution, ramp and abort criteria, and explicit safety boundaries.

Frequently Asked Questions about load-test-planner

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

FAQPage Schema
How do I create a load test plan based on production traffic evidence?

Load test plans built from production evidence model endpoint mix, write share, arrival patterns, and payload distributions to reflect real production behavior instead of artificial traffic. This approach ensures capacity validation reveals actual system limits rather than proving preconceived assumptions.

What is tenant isolation testing and how does it verify noisy neighbor impact?

Tenant isolation testing models many-small and few-whale tenants to verify noisy-neighbor behavior, requiring per-tenant measurement to confirm system performance holds up under mixed tenant distributions and burst scenarios.

How do I plan soak tests and spike tests for pre-release performance validation?

Soak tests and spike tests require defining ramp shapes, abort criteria, and pass/fail thresholds tied to owned SLO or budget numbers. Pre-release performance scenarios must include explicit blast-radius statements and target environment definitions before execution begins.

What safety boundaries do I need before running load tests against live systems?

Load testing against production or live third-party systems requires explicit blast-radius statements, abort criteria, and human approval before execution. Safety envelopes must define target environment, third-party handling, and ramp shapes to prevent uncontrolled impact.

How do I set pass-fail thresholds for capacity validation load tests?

Pass-fail thresholds for capacity validation must be cited against owned SLO or budget numbers, not arbitrary values. Production-shaped data volumes and explicit tenant mix distributions form the evidence base for determining whether the system holds up under realistic load conditions.