Cpu Profiling

This helps you figure out where your code is burning CPU cycles so you can fix the slowest parts first. You get guidance on using browser profilers like Chrome DevTools and Firefox's flame graphs, plus React's component profiler if that's your stack. The reference guides cover profiling tools, reading the output, and a systematic optimization process. It's most useful when you're dealing with high CPU usage or sluggish performance and need to move beyond guessing. The skill assumes you know your way around dev tools but need a structured approach to profiling and interpreting results rather than just poking around randomly.

skills.sh installs: 455
GitHub stars: 379
last updated: Aug 21, 2026

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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill cpu-profiling --agent claude-code

Installs into .claude/skills of the current project.

Files

Overview

CPU profiling identifies which functions consume most CPU time, enabling targeted optimization of expensive code paths.

When to Use

High CPU usage
Slow execution
Performance regression
Before optimization
Production monitoring

Quick Start

Minimal working example:

Browser Profiling:

Chrome DevTools:
  Steps:
    1. DevTools → Performance
    2. Click record
    3. Perform action
    4. Stop recording
    5. Analyze flame chart
  Metrics:
    - Function call duration
    - Call frequency
    - Total time vs self time

Firefox Profiler:
  - Built-in performance profiler
  - Flame graphs
  - Timeline view
  - Export and share

React Profiler:
  - DevTools → Profiler
  - Component render times
  - Phase: render vs commit
  - Why component re-rendered
// ... (see reference guides for full implementation)