Do Lua coroutines run in parallel on multiple CPU cores?

No, Lua coroutines provide cooperative multitasking. They run sequentially within a single thread and must explicitly yield control back to the caller to allow other tasks to run.

When should I use coroutines instead of standard functions?

Use coroutines when you need to pause execution to wait for a condition, implement complex iterators, or manage long-running tasks that would otherwise block the main execution thread.

What is the difference between coroutine.create and coroutine.wrap?

coroutine.create returns a thread object that must be managed with coroutine.resume, whereas coroutine.wrap returns a regular function that automatically resumes the coroutine when called, providing a simpler interface for iterators.

How do I pass data into a yielding coroutine?

You can pass data into a coroutine by providing arguments to the coroutine.resume() function; these values are then returned by the coroutine.yield() call inside the coroutine.

Lua Coroutines

Name: Lua Coroutines
Author: TheBushidoCollective

byTheBushidoCollective

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開発者ツール

Implements cooperative multitasking and asynchronous patterns in Lua using first-class coroutines for efficient code execution.

概要

The Lua Coroutines skill empowers Claude to design and implement complex cooperative multitasking solutions within Lua environments. It provides comprehensive patterns for managing coroutine lifecycles, including creation, yielding, and resumption, which are essential for building readable asynchronous workflows and state machines. By leveraging this skill, developers can implement memory-efficient generators, custom iterators, and producer-consumer patterns that avoid the complexity of traditional threading while maintaining fine-grained control over execution flow in game development, embedded systems, and data processing.

主な機能

Full coroutine lifecycle management including creation, status checking, and resumption
Asynchronous I/O simulation and non-blocking task scheduling
39 GitHub stars
Implementation of custom generators and lazy-evaluated iterators
Advanced producer-consumer patterns for streamlined data processing
Bidirectional communication patterns for passing values between contexts

ユースケース

Managing complex game state transitions and character AI behaviors in engines like LÖVE or Roblox
Building custom task schedulers for cooperative multitasking in resource-constrained environments
Processing large datasets using memory-efficient lazy evaluation and pipelining

概要

主な機能

Full coroutine lifecycle management including creation, status checking, and resumption
Asynchronous I/O simulation and non-blocking task scheduling
39 GitHub stars
Implementation of custom generators and lazy-evaluated iterators
Advanced producer-consumer patterns for streamlined data processing
Bidirectional communication patterns for passing values between contexts

ユースケース

Managing complex game state transitions and character AI behaviors in engines like LÖVE or Roblox
Building custom task schedulers for cooperative multitasking in resource-constrained environments
Processing large datasets using memory-efficient lazy evaluation and pipelining