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monitoring-cpu-usage

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claude-code-plugins-plus

jeremylongshore/claude-code-plugins-plus-skills

Plugin

cpu-usage-monitor

performance

Repository

jeremylongshore/claude-code-plugins-plus-skills
1.1kstars

plugins/performance/cpu-usage-monitor/skills/monitoring-cpu-usage/SKILL.md

Last Verified

January 22, 2026

Install Skill

Select agents to install to:

Scope:
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/main/plugins/performance/cpu-usage-monitor/skills/monitoring-cpu-usage/SKILL.md -a claude-code --skill monitoring-cpu-usage

Installation paths:

Claude
.claude/skills/monitoring-cpu-usage/
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Instructions

# Cpu Usage Monitor

This skill provides automated assistance for cpu usage monitor tasks.

## Overview

This skill empowers Claude to analyze code for CPU-intensive operations, offering detailed optimization recommendations to improve processor utilization. By pinpointing areas of high CPU usage, it facilitates targeted improvements for enhanced application performance.

## How It Works

1. **Initiate CPU Monitoring**: Claude activates the `cpu-usage-monitor` plugin.
2. **Code Analysis**: The plugin analyzes the codebase for computationally expensive operations, synchronous blocking calls, inefficient loops, and regex patterns.
3. **Optimization Recommendations**: Claude provides a detailed report outlining areas for optimization, including suggestions for algorithmic improvements, asynchronous processing, and regex optimization.

## When to Use This Skill

This skill activates when you need to:
- Identify CPU bottlenecks in your application.
- Optimize application performance by reducing CPU load.
- Analyze code for computationally intensive operations.

## Examples

### Example 1: Identifying CPU Hotspots

User request: "Monitor CPU usage in my Python script and suggest optimizations."

The skill will:
1. Analyze the provided Python script for CPU-intensive functions.
2. Identify potential bottlenecks such as inefficient loops or complex regex patterns.
3. Provide recommendations for optimizing the code, such as using more efficient algorithms or asynchronous operations.

### Example 2: Analyzing Algorithmic Complexity

User request: "Analyze the CPU load of this Java code and identify areas with high algorithmic complexity."

The skill will:
1. Analyze the provided Java code, focusing on algorithmic complexity (e.g., O(n^2) or worse).
2. Pinpoint specific methods or sections of code with high complexity.
3. Suggest alternative algorithms or data structures to improve performance.

## Best Practices

- **Targeted Analysis**: Focus the analysis on specific section

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