# Jeremylongshore Claude Code Plugins Plus Skills Monitoring Cpu Usage > Cpu Usage Monitor - Skill: `tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-monitoring-c` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-monitoring-c` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-monitoring-c/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-monitoring-c --- # Cpu Usage Monitor Identify CPU hotspots, analyze algorithmic complexity, and detect blocking operations in application code with targeted optimization recommendations. ## 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 sections of code known to be CPU-intensive. - **Asynchronous Operations**: Consider using asynchronous operations to prevent blocking the main thread. - **Regex Optimization**: Carefully review and optimize regular expressions for performance. ## Integration This skill can be used in conjunction with other code analysis and refactoring tools to implement the suggested optimizations. It can also be integrated into CI/CD pipelines to automatically monitor CPU usage and identify performance regressions. ## Prerequisites - Appropriate file access permissions - Required dependencies installed ## Instructions 1. Invoke this skill when the trigger conditions are met 2. Provide necessary context and parameters 3. Review the generated output 4. Apply modifications as needed ## Output The skill produces structured output relevant to the task. ## Error Handling - Invalid input: Prompts for correction - Missing dependencies: Lists required components - Permission errors: Suggests remediation steps ## Resources - Project documentation - Related skills and commands --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/jeremylongshore) — claim your Tome and manage your conversions.