memory-leak-detection
Detect and fix memory leaks using heap snapshots, memory profiling, and leak detection tools. Use when investigating memory growth, OOM errors, or optimizing memory usage.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill memory-leak-detection- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads memory-leak-detection automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Memory Leak Detection
Table of Contents
Overview
Identify and fix memory leaks to prevent out-of-memory crashes and optimize application performance.
When to Use
- Memory usage growing over time
- Out of memory (OOM) errors
- Performance degradation
- Container restarts
- High memory consumption
Quick Start
Minimal working example:
import v8 from "v8";
import fs from "fs";
class MemoryProfiler {
takeSnapshot(filename: string): void {
const snapshot = v8.writeHeapSnapshot(filename);
console.log(`Heap snapshot saved to ${snapshot}`);
}
getMemoryUsage(): NodeJS.MemoryUsage {
return process.memoryUsage();
}
formatMemory(bytes: number): string {
return `${(bytes / 1024 / 1024).toFixed(2)} MB`;
}
printMemoryUsage(): void {
const usage = this.getMemoryUsage();
console.log("Memory Usage:");
console.log(` RSS: ${this.formatMemory(usage.rss)}`);
console.log(` Heap Total: ${this.formatMemory(usage.heapTotal)}`);
console.log(` Heap Used: ${this.formatMemory(usage.heapUsed)}`);
console.log(` External: ${this.formatMemory(usage.external)}`);
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Node.js Heap Snapshots | Node.js Heap Snapshots |
| Memory Leak Detection Middleware | Memory Leak Detection Middleware |
| Common Memory Leak Patterns | Common Memory Leak Patterns |
| Python Memory Profiling | Python Memory Profiling |
| WeakMap/WeakRef for Cache | WeakMap/WeakRef for Cache |
| Memory Monitoring in Production | Memory Monitoring in Production |
Best Practices
✅ DO
- Remove event listeners when done
- Clear timers and intervals
- Use WeakMap/WeakRef for caches
- Limit cache sizes
- Monitor memory in production
- Profile regularly
- Clean up after tests
❌ DON'T
- Create circular references
- Hold references to large objects unnecessarily
- Forget to clean up resources
- Ignore memory growth
- Skip WeakMap for object caches
FAQ
What does the memory-leak-detection skill do?
Detect and fix memory leaks using heap snapshots, memory profiling, and leak detection tools. Use when investigating memory growth, OOM errors, or optimizing memory usage.
How do I install memory-leak-detection?
Run npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill memory-leak-detection in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/memory-leak-detection/ (personal) or .claude/skills/memory-leak-detection/ (project).
Which AI agents can use memory-leak-detection?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is memory-leak-detection safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains memory-leak-detection?
It is published by aj-geddes in aj-geddes/useful-ai-prompts. It has 580 recorded installs.
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