Can this skill help with Out of Memory (OOM) errors?

Yes, it provides checklists and workflows specifically designed to trace retention paths and resolve OOM errors in production.

What languages are supported by this skill?

The skill supports JavaScript/TypeScript (including Node.js, Bun, and browser environments) and Python applications.

Does it provide documentation for optimization?

Yes, it includes reference guides for optimization techniques such as object pooling, weak references, and lazy loading.

How does it identify a memory leak?

By comparing heap snapshots over time to find objects that are retained in memory but are no longer needed by the application.

What tools does it use for analysis?

It leverages industry-standard tools like Chrome DevTools, the Node.js inspector, and Python's memory_profiler for deep analysis.

Memory Profiling & Leak Detection

Name: Memory Profiling & Leak Detection
Author: greyhaven-ai

bygreyhaven-ai

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Analytics & Monitoring

Identifies memory leaks and optimizes allocation patterns in JavaScript, TypeScript, and Python applications to prevent performance degradation.

About

The Memory Profiling skill provides a systematic framework for diagnosing and resolving memory-related issues in modern application environments. It empowers Claude to analyze heap snapshots, interpret garbage collection behavior, and trace retention paths to pinpoint the root causes of memory leaks. Whether dealing with unremoved event listeners in Node.js or unbounded caches in Python, this skill offers the specialized guides, templates, and checklists needed to implement object pooling, weak references, and other optimization techniques to ensure long-term application stability and prevent out-of-memory errors.

Key Features

Standardized profiling report templates and optimization checklists.
Deep integration with tools like Chrome DevTools and memory_profiler.
Systematic identification of common leak patterns like closures and circular references.
15 GitHub stars
Heap snapshot analysis and automated comparison workflows.
Multi-language support for Node.js, Bun, Browser JS, and Python profiling.

Use Cases

Identifying long-running memory leaks in high-traffic API servers.
Optimizing memory footprint for resource-constrained serverless functions.
Debugging 'Out of Memory' (OOM) errors in production environments.

About

Key Features

Standardized profiling report templates and optimization checklists.
Deep integration with tools like Chrome DevTools and memory_profiler.
Systematic identification of common leak patterns like closures and circular references.
15 GitHub stars
Heap snapshot analysis and automated comparison workflows.
Multi-language support for Node.js, Bun, Browser JS, and Python profiling.

Use Cases

Identifying long-running memory leaks in high-traffic API servers.
Optimizing memory footprint for resource-constrained serverless functions.
Debugging 'Out of Memory' (OOM) errors in production environments.