Load Test Scenario Builder
Automatically generates realistic load test scenarios based on user descriptions of application behavior and expected usage patterns.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add load-test-scenario-builder npx -- -y @trustedskills/load-test-scenario-builder
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"load-test-scenario-builder": {
"command": "npx",
"args": [
"-y",
"@trustedskills/load-test-scenario-builder"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill generates load test scenarios based on user input. It can create realistic user behavior simulations, including navigation paths and data entry patterns. The generated scenarios are designed to stress-test systems and identify performance bottlenecks before they impact real users.
When to use it
- Simulate peak traffic: Generate a scenario for Black Friday sales to test server capacity.
- Test new features: Create load tests that mimic user interactions with newly released application functionality.
- Performance regression testing: Develop scenarios to ensure performance doesn't degrade after code changes.
- Validate infrastructure scaling: Build tests to verify the system handles increased load as resources are added.
Key capabilities
- Scenario generation based on textual descriptions
- Realistic user behavior simulation
- Navigation path creation
- Data entry pattern definition
Example prompts
- "Create a load test scenario for an e-commerce website, simulating 100 concurrent users browsing products and adding items to their cart."
- "Generate a scenario that tests the checkout process of a food delivery app, including address input and payment processing."
- “Build a load test for a social media platform focusing on user posting and liking content.”
Tips & gotchas
The quality of the generated scenarios depends heavily on the clarity and detail provided in the prompt. Be specific about user actions and expected data to achieve optimal results.
Tags
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