About cpu-profiling
A skill that explains how to profile CPU usage and identify functions consuming the most time. It supports targeted optimization when investigating slow execution, high CPU use, or performance regressions.
Key features
- 01Identify CPU-intensive functions
- 02Investigate slow execution
- 03Analyze performance regressions
- 04Profiling tool references
- 05Optimization and monitoring guidance
Use cases
- 01Investigating high CPU usage
- 02Finding causes of slow execution
- 03Checking a performance regression
- 04Monitoring CPU performance
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ aj-geddes/ useful-ai-prompts --skill cpu-profilingAfter installing, type/cpu-profilingin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/analysis-interpretation.mdmonitoring-best-practices.mdoptimization-process.mdprofiling-tools.mdtemplates/component-template.tsxDetails
From the project READMECPU 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
Comments
Markdown supported