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Performance Profiler

Profile Node.js, Python, and Go applications to identify performance bottlenecks.

Updated Feb 27, 2026
Search Tags:#performance#python#optimization#go#profiling#load testing#nodejs
One-click install
npx skills add https://github.com/amanhsn/flyerbuild --skill performance-profiler-amanhsn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Performance Profiler
Source: https://github.com/amanhsn/flyerbuild/tree/main/.cursor/skills/performance-profiler
Command: npx skills add https://github.com/amanhsn/flyerbuild --skill performance-profiler-amanhsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify and resolve performance issues in Node.js, Python, and Go applications, ensuring your software runs efficiently and meets performance targets.

Core Features & Use Cases

  • Profiling: Generates CPU and memory flamegraphs, detects memory leaks, and analyzes bundle sizes.
  • Optimization: Provides guidance on optimizing database queries and running load tests.
  • Use Case: Your web application's response time has increased significantly. Use this Skill to profile the backend, identify the slow database queries or inefficient code paths, and implement optimizations.

Quick Start

Use the performance profiler skill to generate a CPU flamegraph for your Node.js application.

Frequently Asked Questions about Performance Profiler

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify performance bottlenecks in my Node.js application?▼

To identify performance bottlenecks in a Node.js application, you can generate CPU and memory flamegraphs to visualize execution paths, detect memory leaks, and analyze bundle sizes to pinpoint inefficient code or resource usage.

What is the best way to profile Python and Go applications for CPU and memory usage?▼

Profiling Python and Go applications involves systematically analyzing CPU and memory usage to detect leaks and identify slow code paths, ensuring you measure performance before and after optimizations to verify actual improvements.

Can I run load tests using k6 and Artillery to measure backend performance?▼

Yes, you can run load tests using k6 and Artillery to measure backend performance, simulating traffic to identify slow database queries and inefficient code paths that cause increased web application response times under stress.

How do I optimize database queries causing slow web application response times?▼

To optimize database queries causing slow response times, profile the backend to identify the slow queries and inefficient code paths, implement the necessary optimizations, and measure performance before and after to verify improvements.

Does the performance profiler work with both Node.js and Python environments?▼

Yes, the performance profiler works with Node.js, Python, and Go environments, providing specific capabilities to profile CPU usage, detect memory leaks, and analyze bundle sizes across these different technology stacks.

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