Does it support multiple programming languages?

Yes, it is designed to analyze performance patterns across various languages including Python, Java, JavaScript, and more.

How does the CPU Usage Monitor help with Python scripts?

It identifies CPU-intensive functions, inefficient loops, and complex regex patterns, suggesting more efficient algorithms or asynchronous operations to reduce load.

How do I trigger this skill in Claude Code?

You can activate it by asking Claude to 'monitor CPU usage', 'optimize CPU performance', or 'find CPU bottlenecks' in your current project.

Can it detect specific Big O notation issues?

Yes, the skill analyzes code structure to pinpoint sections with high algorithmic complexity (such as nested loops) and suggests optimized data structures.

CPU Usage Monitor

Name: CPU Usage Monitor
Author: intent-solutions-io

byintent-solutions-io

分析と監視

Monitors and analyzes CPU usage patterns to identify performance bottlenecks and optimize algorithmic complexity.

概要

This skill enables Claude to perform deep analysis of application performance by pinpointing CPU hotspots, inefficient loops, and blocking synchronous operations. It helps developers move beyond surface-level code reviews to identify specific areas of high processor utilization, providing actionable recommendations for algorithmic improvements, asynchronous processing, and optimized regular expressions to enhance overall system efficiency and responsiveness.

主な機能

Algorithmic complexity (Big O) evaluation
Regex performance profiling and optimization
CPU hotspot identification and analysis
Synchronous blocking call detection
Actionable code refactoring recommendations
0 GitHub stars

ユースケース

Identifying performance regressions in high-load microservices
Refactoring legacy code with high computational overhead
Reducing application latency by optimizing CPU-bound functions

概要

主な機能

Algorithmic complexity (Big O) evaluation
Regex performance profiling and optimization
CPU hotspot identification and analysis
Synchronous blocking call detection
Actionable code refactoring recommendations
0 GitHub stars

ユースケース

Identifying performance regressions in high-load microservices
Refactoring legacy code with high computational overhead
Reducing application latency by optimizing CPU-bound functions