Performs systematic performance profiling and optimization for Node.js, Python, and Go applications.
This skill empowers Claude to diagnose and resolve complex performance bottlenecks across the full stack using a rigorous 'Measure First' methodology. It provides specialized support for generating CPU flamegraphs, detecting memory leaks via heap snapshot analysis, identifying N+1 database query patterns, and conducting automated load tests with k6 and Artillery. Designed for high-stakes environments, it ensures that every optimization—from bundle size reduction to database index tuning—is backed by empirical baseline data and verified through post-fix delta calculations.
Key Features
01101 GitHub stars
02Interactive bundle analysis for Webpack and Next.js applications
03Database optimization via EXPLAIN ANALYZE and N+1 query detection
04Cross-platform CPU profiling for Node.js, Python, and Go
05Automated load testing scripts with k6 for SLA enforcement
06Memory leak detection using heap snapshot comparison patterns
Use Cases
01Diagnosing high P99 latency in production API endpoints
02Reducing frontend bundle sizes and optimizing heavy dependencies
03Identifying and fixing memory growth in long-running services
