Productivity
cpu-profiling▌
aj-geddes/useful-ai-prompts · updated Apr 8, 2026
$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill cpu-profiling
summary
CPU profiling identifies which functions consume most CPU time, enabling targeted optimization of expensive code paths.
skill.md
CPU Profiling
Table of Contents
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)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Profiling Tools | Profiling Tools |
| Analysis & Interpretation | Analysis & Interpretation |
| Optimization Process | Optimization Process |
| Monitoring & Best Practices | Monitoring & Best Practices |
Best Practices
✅ DO
- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying
❌ DON'T
- Skip testing or validation
- Ignore error handling
- Hard-code configuration values