How does it identify performance bottlenecks?

It examines CPU usage and execution time across functions to highlight the most resource-intensive parts of your application that require optimization.

Does it suggest specific code changes?

Yes, beyond identifying issues, it provides targeted code-level optimization recommendations to help improve overall application performance.

Can it detect memory leaks?

Yes, the skill analyzes memory allocation patterns to pinpoint specific areas where leaks may be occurring and suggests ways to resolve them.

Which programming languages are supported?

The skill supports major application stacks including Node.js, Python, and Java by identifying entry points and analyzing resource usage across the codebase.

Application Performance Profiler

Name: Application Performance Profiler
Author: intent-solutions-io

byintent-solutions-io

Analíticas y Monitorización

Analyzes application CPU, memory, and execution time to identify performance bottlenecks and recommend code-level optimizations.

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The Application Performance Profiler skill enables Claude to conduct deep dives into your application's resource consumption and execution patterns. By identifying CPU-intensive operations and memory leaks across various stacks like Node.js, Python, and Java, it provides actionable insights to reduce latency and improve scalability. Whether you are troubleshooting a slow script or preparing for a production launch, this skill offers targeted optimization strategies to ensure your code runs at peak efficiency.

Características Principales

Generates comprehensive performance profiles
Analyzes execution time across critical code paths
Provides actionable code-level optimization suggestions
Identifies memory leaks and inefficient allocation patterns
0 GitHub stars
Detects CPU-intensive operations and functions

Casos de Uso

Troubleshooting memory leaks in Node.js or Python backend services
Optimizing computationally expensive algorithms to reduce execution time
Profiling application entry points before production deployment to ensure stability

Acerca de

Características Principales

Generates comprehensive performance profiles
Analyzes execution time across critical code paths
Provides actionable code-level optimization suggestions
Identifies memory leaks and inefficient allocation patterns
0 GitHub stars
Detects CPU-intensive operations and functions

Casos de Uso

Troubleshooting memory leaks in Node.js or Python backend services
Optimizing computationally expensive algorithms to reduce execution time
Profiling application entry points before production deployment to ensure stability