What problem does it solve? Systems often fail to meet performance SLAs or degrade under load because teams lack systematic benchmarking, bottleneck analysis, and continuous performance monitoring. This Skill provides a structured performance engineering workflow to test, measure, and optimize applications and infrastructure. ## Core Features & Use Cases - Load and Stress Testing: Designs and executes load, stress, spike, and endurance tests using k6 with custom metrics, thresholds, and staged traffic patterns. - Core Web Vitals Optimization: Measures and improves LCP, FID, and CLS with frontend techniques like code splitting, lazy loading, and CDN configuration. - Capacity Planning and Scalability Assessment: Forecasts resource requirements, validates auto-scaling policies, and analyzes database scalability under growth projections. - Use Case: Before a product launch, run a staged k6 test simulating 200 concurrent users against your API, identify that the 95th percentile response time exceeds 500ms due to an unoptimized database query, and receive a prioritized optimization report with ROI analysis. ## Quick Start Ask the agent to run a performance baseline analysis on your API endpoints and produce a bottleneck report with optimization recommendations.