jeremylongshore/claude-code-plugins-plus-skills
cpu-usage-monitor
plugins/performance/cpu-usage-monitor/skills/monitoring-cpu-usage/SKILL.md
January 22, 2026
Select agents to install to:
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-usageInstallation paths:
.claude/skills/monitoring-cpu-usage/# 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