cpu-profile-analysis

What problem does it solve?

This Skill helps you understand why an application or editor feels slow by turning CPU profiles and DevTools traces into clear performance findings instead of raw sampling data.

Core Features & Use Cases

• CPU profile analysis: Inspect .cpuprofile sampling data to identify hot functions, self time, total time, and call stack patterns.
• Trace analysis: Read Trace-*.json files to examine long tasks, function calls, layout and paint work, input latency, and VS Code user timing marks.
• Cross-comparison: Compare two code paths or implementations to see which one spends more time in CPU work, rendering, or garbage collection.
• Use case: Use it when a VS Code feature is slow, when you need to explain a performance regression, or when you want to pinpoint layout thrashing and blocking handlers.

Quick Start

Provide a .cpuprofile or Trace-*.json file and ask for the main bottlenecks, top hot functions, and any long tasks or rendering delays.