Can this skill automatically fix performance issues?

It identifies the root cause and suggests specific code-level optimizations. You can then direct Claude to apply these changes using its integrated editing tools.

What tools does the skill use to profile applications?

It utilizes the application-profiler plugin along with standard system tools like Grep, Bash, and file editors to analyze the codebase and runtime behavior.

Does it work for identifying memory leaks?

Yes, one of its primary functions is analyzing memory allocation patterns to detect leaks and suggest more efficient data handling strategies.

Application Profiler

Name: Application Profiler
Author: BbgnsurfTech

byBbgnsurfTech

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分析と監視

Analyzes application performance metrics like CPU usage and memory consumption to identify and resolve code-level bottlenecks.

概要

The Application Profiler skill empowers Claude to perform deep-dive performance analysis across various technology stacks including Node.js, Python, and Java. By identifying main entry points and critical execution paths, it pinpoints resource-heavy operations, memory leaks, and slow-running functions, providing actionable optimization recommendations to improve application efficiency, speed, and resource utilization.

主な機能

Memory leak detection and allocation profiling
Automated generation of optimization recommendations
Execution time tracking for critical code paths
CPU usage analysis and bottleneck identification
Multi-stack support for Node.js, Python, and Java
3 GitHub stars

ユースケース

Identifying and fixing memory leaks in production-grade applications
Optimizing CPU-intensive backend scripts to reduce infrastructure costs
Auditing application execution time to improve user experience responsiveness

概要

主な機能

Memory leak detection and allocation profiling
Automated generation of optimization recommendations
Execution time tracking for critical code paths
CPU usage analysis and bottleneck identification
Multi-stack support for Node.js, Python, and Java
3 GitHub stars

ユースケース

Identifying and fixing memory leaks in production-grade applications
Optimizing CPU-intensive backend scripts to reduce infrastructure costs
Auditing application execution time to improve user experience responsiveness