performance-profiling

Diagnose Node.js performance bottlenecks via CPU, memory, and query profiling.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/chavangorakh1999/sde-skills --skill performance-profiling-chavangorakh1999
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/chavangorakh1999/sde-skills/tree/main/sde-code-quality/skills/performance-profiling
Command: npx skills add https://github.com/chavangorakh1999/sde-skills --skill performance-profiling-chavangorakh1999

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires clinic.js, 0x, autocannon, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you identify and resolve performance issues in Node.js applications, such as slow endpoints, high CPU usage, and memory leaks.

Core Features & Use Cases

  • CPU Profiling: Pinpoint functions consuming the most CPU time using flame graphs.
  • Memory Profiling: Detect and diagnose memory leaks by analyzing heap snapshots.
  • Algorithmic Complexity: Identify and fix inefficient code (e.g., O(n²) loops).
  • Database Query Analysis: Optimize slow database queries using EXPLAIN ANALYZE.
  • Use Case: Your /api/users endpoint is suddenly responding in 2 seconds instead of 50ms. Use this Skill to profile the endpoint, identify the N+1 query issue in the database layer, and refactor the code to use .populate() for efficient data fetching.

Quick Start

Use the performance-profiling skill to diagnose a slow endpoint by providing the endpoint's URL.

Frequently Asked Questions about performance-profiling

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

FAQPage Schema
How do I find a memory leak in a Node.js application using heap snapshots?

To find a memory leak in a Node.js application, analyze heap snapshots to detect memory consumption patterns and identify retained objects. This process diagnoses memory leaks by comparing snapshot states over time.

What is the best way to diagnose high CPU usage in Node.js?

The best way to diagnose high CPU usage in Node.js is using CPU profiling and flame graphs. This technique pinpoints the exact functions consuming the most CPU time so you can target optimization efforts.

Why does my Node.js HTTP endpoint have high latency and how can I profile it?

High latency in a Node.js HTTP endpoint often stems from slow database queries or inefficient algorithms. Profile the endpoint using load testing and flame graphs to identify bottlenecks like N+1 queries.

Can I optimize slow database queries by analyzing algorithmic complexity in Node.js?

Yes, you can optimize slow database queries by identifying inefficient code and algorithmic complexity like O(n²) loops. Using EXPLAIN ANALYZE alongside profiling reveals query bottlenecks for refactoring.

Do I need external profiling libraries to troubleshoot performance bottlenecks in Node.js?

Yes, detailed analysis of performance bottlenecks in Node.js requires external profiling libraries. Tools like clinic.js and 0x are needed to generate flame graphs and analyze CPU usage effectively.