Cpu Profiling

by aj-geddes3f5182cfd739No license355 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 7 months ago

Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.

Instructions onlySoftware Development

AI-generated overview

Guides CPU profiling to find hot spots and bottlenecks, then optimize the most CPU-expensive code paths.

What it does: This skill provides instructions for profiling CPU usage in order to identify functions and code paths that consume the most CPU time. It covers browser and React profiling workflows, analysis and interpretation of profiling results, an optimization process, and monitoring best practices. It produces guidance and reference material rather than scripts or generated files.
When to use it: Use it when an application shows high CPU usage, slow execution, or a performance regression, or before undertaking optimization work. It is also intended for production monitoring of CPU behavior.
Requirements: No scripts are shipped; the skill is instructions and reference documents only. It assumes access to profiling tools such as browser developer tools or the React Profiler.

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:

yaml

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)

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 [blocked]	Profiling Tools
Analysis & Interpretation [blocked]	Analysis & Interpretation
Optimization Process [blocked]	Optimization Process
Monitoring & Best Practices [blocked]	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

Source and attribution

Source:aj-geddes/useful-ai-promptsinskills/cpu-profilingat commit3f5182c

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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Cpu Profiling

CPU Profiling

Table of Contents

Overview

When to Use

Quick Start

Reference Guides

Best Practices

✅ DO

❌ DON'T

Source and attribution

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