Does it provide actual code optimization suggestions?

Absolutely. After generating a performance profile, the skill suggests specific code-level optimizations to reduce execution time and resource consumption.

Which programming languages are supported for profiling?

The skill is compatible with major application stacks, including Node.js, Python, and Java, identifying the specific technology to provide relevant insights.

Can this skill help find memory leaks?

Yes, it analyzes memory allocation patterns over time to detect leaks and provides recommendations on how to resolve them at the source code level.

Should I use this in a production environment?

It is recommended to use this skill in development or staging environments with realistic workloads to simulate performance issues without affecting live users.

How does this skill identify performance bottlenecks?

It leverages the application-profiler plugin to monitor CPU usage, memory allocation, and execution time to pinpoint exactly where your application is slowing down.

Application Performance Profiler

Name: Application Performance Profiler
Author: jeremylongshore

byjeremylongshore

•

884

分析と監視

Analyzes application resource usage and identifies performance bottlenecks to optimize code efficiency and execution speed.

概要

This skill empowers Claude to conduct deep performance audits of applications by monitoring CPU usage, memory allocation, and execution times across various tech stacks like Node.js, Python, and Java. It automates the process of identifying memory leaks and CPU-intensive functions, providing actionable recommendations and code-level optimizations to improve overall system stability and application responsiveness.

主な機能

884 GitHub stars
Comprehensive CPU usage and execution time analysis
Detailed memory allocation tracking and leak detection
Multi-language stack identification for Node.js, Python, and Java
Automated identification of critical execution paths
Actionable optimization recommendations for code-level improvements

ユースケース

Identifying and resolving memory leaks in backend services
Generating detailed performance profiles during the testing phase
Optimizing slow-running scripts and CPU-intensive operations

概要

主な機能

884 GitHub stars
Comprehensive CPU usage and execution time analysis
Detailed memory allocation tracking and leak detection
Multi-language stack identification for Node.js, Python, and Java
Automated identification of critical execution paths
Actionable optimization recommendations for code-level improvements

ユースケース

Identifying and resolving memory leaks in backend services
Generating detailed performance profiles during the testing phase
Optimizing slow-running scripts and CPU-intensive operations