Does this require a live connection to my production server?

No, this skill primarily performs static analysis on the codebase to identify potential CPU issues, though it can also analyze provided logs or performance metrics.

How does the CPU Usage Monitor identify bottlenecks?

It scans source code for patterns known to cause high processor load, such as nested loops, expensive regex, and synchronous I/O operations in main threads.

Which programming languages are supported?

The skill is language-agnostic and focuses on universal performance principles, making it effective for Python, Java, JavaScript, C++, and other major languages.

Can this skill automatically refactor my code?

The skill provides specific optimization recommendations and refactoring patterns which Claude can then apply to your files using its built-in editing tools.

How does it help with regex optimization?

It identifies catastrophic backtracking and other inefficient regular expression patterns that can cause sudden CPU spikes during string processing.

CPU Usage Monitor

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

byintent-solutions-io

0•

Analytics & Monitoring

Analyzes application code to identify CPU hotspots, optimize algorithmic complexity, and eliminate performance bottlenecks.

This skill empowers Claude to perform deep-dive analysis into your codebase to detect computationally expensive operations, synchronous blocking calls, and inefficient loops. By evaluating algorithmic complexity and identifying problematic regex patterns, it provides actionable optimization recommendations to reduce processor load and improve overall application throughput. It is particularly useful for developers looking to reduce infrastructure costs or resolve performance regressions by pinpointing the exact lines of code responsible for high CPU utilization.

Key Features

01Analyzes algorithmic complexity and suggests more efficient data structures.

02Generates detailed optimization reports with specific refactoring recommendations.

030 GitHub stars

04Identifies computationally expensive operations and CPU-intensive loops.

05Detects synchronous blocking calls that hinder application performance.

06Pinpoints and optimizes performance-heavy regular expression patterns.

Use Cases

01Optimizing data processing pipelines to improve execution speed and reduce costs.

02Identifying and fixing CPU spikes in Python scripts or backend services.

03Auditing legacy codebases for algorithmic inefficiencies and O(n^2) bottlenecks.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add intent-solutions-io/plugins-nixtla cpu-usage-monitor

For use in Claude.ai and ChatGPT

Download Skill