How do I distinguish between a memory leak and high memory usage?

A leak is characterized by heap usage that grows monotonically over time and never stabilizes or decreases, even after traffic subsides. Normal usage typically fluctuates or stays bounded as the garbage collector cleans up objects.

Can I use this skill to capture snapshots in a production environment?

Yes, the skill provides methods to trigger heap snapshots via process signals (SIGUSR2) or authenticated admin endpoints, allowing you to debug live services without a restart.

What are the most common causes of leaks in Node.js?

The most frequent culprits are accumulated EventListeners that are never removed, unbounded internal caches or arrays, active timers that aren't cleared, and closures that inadvertently hold references to large objects.

How do I fix high Garbage Collection pressure?

High GC pressure can be resolved by reducing object allocation churn, avoiding the creation of large long-lived objects, or increasing the --max-old-space-size flag if the application legitimately requires more heap memory.

Node.js Memory Debugger

Name: Node.js Memory Debugger
Author: chavangorakh1999

bychavangorakh1999

0•

Analíticas y Monitorización

Diagnoses and resolves memory leaks in Node.js applications through heap snapshot analysis and garbage collection profiling.

This skill provides a comprehensive framework for identifying, analyzing, and fixing memory leaks in Node.js services. It guides developers through the process of distinguishing between normal memory growth and actual leaks, capturing V8 heap snapshots using multiple methods, and pinpointing common retention patterns such as EventEmitter leaks, unbounded caches, and closure-related issues. By following these structured diagnostics, developers can eliminate Out Of Memory (OOM) errors and optimize garbage collection performance in production environments.

Características Principales

01Automated memory monitoring and growth pattern identification

02Heap snapshot capture via V8 APIs, signals, or Chrome DevTools

030 GitHub stars

04Diagnostic patterns for EventEmitter, cache, and timer leaks

05Standardized memory debug reporting for root cause documentation

06Garbage Collection (GC) pressure analysis and performance monitoring

Casos de Uso

01Investigating a Node.js service that crashes with Out Of Memory (OOM) errors

02Identifying memory-heavy closures and data retention patterns during load testing

03Optimizing garbage collection performance in high-traffic backend APIs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add chavangorakh1999/sde-skills memory-debug

For use in Claude.ai and ChatGPT

Características Principales

01Automated memory monitoring and growth pattern identification

02Heap snapshot capture via V8 APIs, signals, or Chrome DevTools

030 GitHub stars

04Diagnostic patterns for EventEmitter, cache, and timer leaks

05Standardized memory debug reporting for root cause documentation

06Garbage Collection (GC) pressure analysis and performance monitoring

Casos de Uso

01Investigating a Node.js service that crashes with Out Of Memory (OOM) errors

02Identifying memory-heavy closures and data retention patterns during load testing

03Optimizing garbage collection performance in high-traffic backend APIs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add chavangorakh1999/sde-skills memory-debug

For use in Claude.ai and ChatGPT