Can it help with algorithmic complexity?

Yes, it identifies inefficient O(n^2) or higher complexity patterns and suggests more efficient data structures or algorithms to optimize execution.

Does it support multiple programming languages?

Yes, it is designed to analyze performance patterns across various languages including Python, Java, and JavaScript.

What does the CPU Usage Monitor skill do?

It analyzes your code to find CPU-intensive operations and provides specific optimization suggestions to reduce processor load and improve performance.

How does it improve application responsiveness?

By identifying blocking operations and suggesting asynchronous processing, it helps ensure the main thread remains free for other tasks.

Can I use this for regex optimization?

Absolutely, the skill specifically detects and provides fixes for complex regular expressions that cause catastrophic backtracking or high CPU usage.

CPU Usage Monitor & Optimizer

Name: CPU Usage Monitor & Optimizer
Author: BbgnsurfTech

byBbgnsurfTech

•

분석 및 모니터링

Monitors application CPU usage patterns and provides actionable recommendations to resolve performance bottlenecks and inefficient algorithms.

소개

The CPU Usage Monitor skill enables Claude to perform deep analysis of application performance by identifying CPU-intensive operations, inefficient loops, and complex regex patterns. It functions as an automated performance audit tool, pinpointing code segments that cause high processor load or blocking operations. By analyzing algorithmic complexity and suggesting asynchronous alternatives, this skill helps developers optimize resource utilization, improve application responsiveness, and reduce infrastructure costs associated with inefficient code execution.

주요 기능

Identify CPU hotspots and performance bottlenecks
Optimize regular expression execution performance
Analyze algorithmic complexity for targeted optimization
Detect blocking operations and synchronous delays
Provide actionable code refactoring recommendations
3 GitHub stars

사용 사례

Debugging high CPU usage in production-level application scripts
Refactoring legacy code to reduce computational overhead
Optimizing data processing loops for improved throughput

소개

주요 기능

Identify CPU hotspots and performance bottlenecks
Optimize regular expression execution performance
Analyze algorithmic complexity for targeted optimization
Detect blocking operations and synchronous delays
Provide actionable code refactoring recommendations
3 GitHub stars

사용 사례

Debugging high CPU usage in production-level application scripts
Refactoring legacy code to reduce computational overhead
Optimizing data processing loops for improved throughput