Does it support specific programming languages?

The skill is language-agnostic and can analyze common patterns in Python, Java, JavaScript, and other languages using Claude's code reasoning and Bash tools.

Does it monitor live production traffic?

It is primarily designed for code-level analysis and environment-specific monitoring through the Claude Code interface rather than as a standalone production APM tool.

Can this skill help with algorithmic complexity?

Yes, it specifically identifies code with high Big O complexity and suggests more efficient data structures or algorithms to reduce the CPU load.

When should I use this skill?

Use it whenever you notice an application is running slowly, consuming 100% CPU, or when you want to proactively optimize performance before a production release.

How does the CPU Performance Monitor detect bottlenecks?

It analyzes the code structure for inefficient patterns like nested loops, complex regular expressions, and synchronous blocking calls that consume excessive processor time.

CPU Performance Monitor

Name: CPU Performance Monitor
Author: BbgnsurfTech

byBbgnsurfTech

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分析与监控

Analyzes application code to identify CPU hotspots, algorithmic inefficiencies, and blocking operations for optimal processor utilization.

关于

The CPU Performance Monitor skill empowers Claude to deeply analyze your codebase for computationally intensive operations that impact application performance. By scanning for inefficient loops, complex regex patterns, and synchronous blocking calls, it pinpoint precisely where CPU cycles are being wasted. This skill provides actionable optimization recommendations, including algorithmic improvements and asynchronous processing strategies, making it an essential tool for developers looking to reduce CPU load and improve application responsiveness during development or debugging.

主要功能

Provides optimization recommendations for loops and regex
Integrates with system-level tools via Bash for real-time monitoring
3 GitHub stars
Analyzes algorithmic complexity to find performance bottlenecks
Suggests asynchronous patterns to prevent main-thread blocking
Identifies CPU-intensive hotspots and blocking operations

使用场景

Optimizing legacy code with high algorithmic complexity (e.g., O(n^2) patterns)
Detecting and fixing high CPU usage in Python or Java applications
Preventing performance regressions by analyzing code during the CI/CD process

关于

主要功能

Provides optimization recommendations for loops and regex
Integrates with system-level tools via Bash for real-time monitoring
3 GitHub stars
Analyzes algorithmic complexity to find performance bottlenecks
Suggests asynchronous patterns to prevent main-thread blocking
Identifies CPU-intensive hotspots and blocking operations

使用场景

Optimizing legacy code with high algorithmic complexity (e.g., O(n^2) patterns)
Detecting and fixing high CPU usage in Python or Java applications
Preventing performance regressions by analyzing code during the CI/CD process