load-test-generator
Generate load test scripts for k6, Locust, and Gatling from OpenAPI specs
npx skills add a5c-ai/babysitter --skill load-test-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Load Test Generator Skill ## Overview Generates load test scripts for k6, Locust, and Gatling including test scenarios from OpenAPI specifications and performance validation patterns. ## Capabilities - Generate k6 load test scripts - Locust test generation - Gatling scenario creation - Test scenario from OpenAPI spec - Ramp-up/ramp-down patterns - Think time configuration - Virtual user modeling - Threshold configuration ## Target Processes - performance-optimization - resilience-patterns - migration-strategy ## Input Schema ```json { "type": "object", "required": ["scenarios"], "properties": { "scenarios": { "type": "array", "items": { "type": "object", "properties": { "name": { "type": "string" }, "endpoints": { "type": "array" }, "load": { "type": "object", "properties": { "vus": { "type": "number" }, "duration": { "type": "string" }, "rampUp": { "type": "string" } } } } } }, "framework": { "type": "string", "enum": ["k6", "locust", "gatling", "artillery"], "default": "k6" }, "openapiSpec": { "type": "string", "description": "Path to OpenAPI spec for auto-generation" }, "options": { "type": "object", "properties": { "thresholds": { "type": "object", "properties": { "p95Respons
- Overview
- Capabilities
- Target Processes
- Input Schema
- Output Schema
- Usage Example
What does the load-test-generator skill do?
Generate load test scripts for k6, Locust, and Gatling from OpenAPI specs
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill load-test-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.