Does it require running the application to monitor usage?

The skill primarily focuses on analyzing the code structure and logic to identify potential CPU-intensive areas, though it can interact with system tools via Bash to observe live processes.

Can this skill help with O(n^2) complexity?

Yes, it is designed to pinpoint methods or sections of code with high algorithmic complexity and suggest alternative data structures or algorithms to improve performance.

How does the CPU Usage Monitor identify bottlenecks?

It analyzes the codebase for patterns like nested loops, complex regex, and blocking synchronous calls that typically lead to high CPU utilization and provides specific refactoring advice.

Which programming languages are supported?

The skill uses general-purpose code analysis patterns and shell tools, making it effective for most major languages including Python, Java, C++, and JavaScript.

CPU Usage Monitor

Name: CPU Usage Monitor
Author: BbgnsurfTech

byBbgnsurfTech

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Analíticas y Monitorización

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

Acerca de

The CPU Usage Monitor skill empowers Claude to perform deep-dive analysis of application performance by identifying CPU-intensive operations, inefficient loops, and synchronous blocking calls. It helps developers pinpoint specific sections of code that contribute to high processor load, offering actionable recommendations for algorithmic improvements, asynchronous processing, and regex optimization to enhance overall system efficiency. Whether you are debugging a slow service or auditing code for scalability, this skill provides the insights needed to maximize processor utilization.

Características Principales

3 GitHub stars
Identifies synchronous blocking operations in codebase
Detects CPU hotspots and computationally expensive operations
Optimizes regular expressions for improved processor performance
Analyzes algorithmic complexity and suggests efficient alternatives
Provides detailed reports with targeted optimization recommendations

Casos de Uso

Auditing legacy code for O(n^2) or higher complexity functions
Refactoring computationally intensive scripts for faster execution
Optimizing high-load backend services to reduce infrastructure costs

Acerca de

Características Principales

3 GitHub stars
Identifies synchronous blocking operations in codebase
Detects CPU hotspots and computationally expensive operations
Optimizes regular expressions for improved processor performance
Analyzes algorithmic complexity and suggests efficient alternatives
Provides detailed reports with targeted optimization recommendations

Casos de Uso

Auditing legacy code for O(n^2) or higher complexity functions
Refactoring computationally intensive scripts for faster execution
Optimizing high-load backend services to reduce infrastructure costs