What problem does it solve? It removes the manual effort of writing load test scripts and interpreting performance results by auto-detecting your API framework, generating realistic user behavior scenarios, executing ramp-up, sustained, spike, and stress test profiles, and producing a bottleneck analysis with optimization recommendations. ## Core Features & Use Cases - Automatic Framework and Tool Detection: Identifies Fastify, Express, NestJS, FastAPI, Flask, Django, Go, or Rails APIs and selects k6, Locust, or Artillery based on your stack. - Realistic Load Scenarios: Generates browsing, authenticated CRUD, search-heavy, and API consumer user flows with think times, test data, and pass/fail latency and error-rate thresholds. - Bottleneck Analysis Report: Runs four load profiles, finds the system breaking point, grades performance, and recommends fixes like caching, connection pooling, and query optimization. - Use Case: Before deploying a new FastAPI service, run this Skill to simulate peak traffic, discover that your search endpoint exceeds p95 latency under 5x load, and get concrete optimization recommendations. ## Quick Start Ask the AI to load test all critical API endpoints in this project and report any performance bottlenecks.
