What is a fiber in the context of this Effect skill?

A fiber is a lightweight thread of execution used by the Effect library to manage asynchronous tasks, allowing for precise control over forking, joining, and interruption.

Why should I use Effect.race instead of Promise.race?

Effect.race provides superior interruption logic, ensuring that losing branches are properly cleaned up and cancelled to prevent memory and resource leaks.

How does this skill help with rate limiting?

It provides patterns for using 'concurrency' options in methods like Effect.all and Effect.forEach to strictly limit the number of simultaneous operations hitting a resource.

Can I search the actual Effect source code with this skill?

Yes, the skill includes specialized workflows to grep through local Effect source files to verify implementation details, types, and real-world usage examples.

Effect Concurrency & Fibers

Name: Effect Concurrency & Fibers
Author: mepuka

bymepuka

Desarrollo de API

Manage parallel execution and asynchronous resource lifecycles using Effect's fiber-based concurrency model.

Acerca de

This skill provides specialized guidance for implementing resilient concurrency patterns in TypeScript using the Effect library. It enables developers to execute independent tasks in parallel with configurable limits, manage complex fiber lifecycles through forking and interruption, and control latency with race conditions and timeouts. By leveraging real source code references from the Effect ecosystem, it ensures high-performance, leak-proof asynchronous programming while preventing common pitfalls like unbounded resource consumption and hanging background tasks.

Características Principales

0 GitHub stars
Comprehensive Fiber lifecycle management including forking, joining, and safe interruption.
Latency control through operation racing and automated timeout logic.
Resource-safe iteration using concurrent forEach patterns for batch processing.
Integrated lookup for local Effect source code to ensure implementation accuracy and type safety.
Parallel task orchestration with Effect.all and controlled concurrency limits.

Casos de Uso

Parallelizing API requests or database queries with specific concurrency limits to prevent rate limiting.
Managing background worker processes that require explicit interruption upon application shutdown to prevent leaks.
Implementing resilient timeout logic for long-running operations to maintain system responsiveness.

Acerca de

Características Principales

0 GitHub stars
Comprehensive Fiber lifecycle management including forking, joining, and safe interruption.
Latency control through operation racing and automated timeout logic.
Resource-safe iteration using concurrent forEach patterns for batch processing.
Integrated lookup for local Effect source code to ensure implementation accuracy and type safety.
Parallel task orchestration with Effect.all and controlled concurrency limits.

Casos de Uso

Parallelizing API requests or database queries with specific concurrency limits to prevent rate limiting.
Managing background worker processes that require explicit interruption upon application shutdown to prevent leaks.
Implementing resilient timeout logic for long-running operations to maintain system responsiveness.