What problem does it solve? It answers whether an API can survive real traffic by stress-testing endpoints under increasing concurrency, measuring latency percentiles, error rates, and throughput, and pinpointing the exact breaking point and bottleneck. ## Core Features & Use Cases - Progressive Concurrency Testing: Ramps load from 1 to 500+ concurrent users in staged steps using hey, wrk, ab, or a curl fallback. - Breaking Point & Bottleneck Analysis: Detects the concurrency level where errors spike or latency cliffs occur, and classifies the bottleneck as CPU, memory, I/O, connection pool, or rate limiting. - Structured Report Generation: Produces api-load-report.md with latency percentile tables, ASCII throughput and latency charts, capacity estimates, and prioritized recommendations. - Use Case: Before launching a new product, run the skill against your staging API to confirm p95 latency stays under 300ms at 100 concurrent users and identify whether the database connection pool is the first thing to fail. ## Quick Start Load test https://api.example.com/health with up to 100 concurrent users and a p95 latency target under 200ms.