Can I use this for zero-copy data transfer?

Absolutely, the skill includes detailed guidance on using Transferable Objects and SharedArrayBuffer for high-performance, zero-copy memory management.

How do I manage multiple tasks at once?

The skill includes production-ready code for a Worker Pool, which allows you to queue and execute tasks across a fixed number of workers to maximize CPU utilization.

Does this skill support both Web Workers and Node.js worker_threads?

Yes, it provides implementation patterns and best practices for both APIs as they are supported within the Bun runtime environment.

Does the skill handle worker errors and termination?

Yes, it covers comprehensive error handling for message deserialization and runtime crashes, along with strategies for both graceful and forced termination.

Bun Workers Concurrency

Name: Bun Workers Concurrency
Author: secondsky

bysecondsky

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API 개발

Implements parallel execution and background task management in Bun using Web Workers and worker_threads.

소개

This skill provides a comprehensive toolkit for implementing multi-threading and parallel processing within Bun environments. It equips Claude with the patterns needed to offload CPU-intensive tasks, manage worker pools for concurrency, and handle complex thread communication using SharedArrayBuffer and MessageChannels. Whether you're optimizing performance for heavy data processing or building scalable background services, this skill ensures type-safe and efficient implementation of both Web Worker and worker_threads APIs native to Bun.

주요 기능

Native Web Worker and Node.js worker_threads API implementation
Scalable Worker Pool management for optimized concurrent task execution
21 GitHub stars
High-performance data transfer using Transferable Objects and Shared Memory
Robust error handling and graceful thread termination strategies
Advanced patterns for CPU-intensive offloading with progress reporting

사용 사례

Implementing low-latency communication between multiple worker threads via MessageChannels
Managing a pool of workers to process large datasets in parallel without blocking the main event loop
Offloading complex mathematical computations or image processing to background threads

소개

주요 기능

Native Web Worker and Node.js worker_threads API implementation
Scalable Worker Pool management for optimized concurrent task execution
21 GitHub stars
High-performance data transfer using Transferable Objects and Shared Memory
Robust error handling and graceful thread termination strategies
Advanced patterns for CPU-intensive offloading with progress reporting

사용 사례

Implementing low-latency communication between multiple worker threads via MessageChannels
Managing a pool of workers to process large datasets in parallel without blocking the main event loop
Offloading complex mathematical computations or image processing to background threads