Does it support graceful application shutdown?

Absolutely. It provides patterns for coordinated shutdown using CancellationTokens, allowing your application to finish pending tasks and close resources properly.

How does it handle parallel data processing?

The skill provides several patterns including fan-out/fan-in for parallel task execution and multi-stage pipelines for sequential async processing of data streams.

Can this skill help prevent cascading system failures?

Yes, it includes robust implementations for circuit breakers and rate limiters which are essential for maintaining system stability under high load or when external services fail.

What is the Tokio Concurrency skill for Claude?

It is a specialized plugin that provides Claude with the knowledge to generate and optimize advanced asynchronous patterns using the Rust Tokio runtime, ensuring high-performance and thread-safe code.

Tokio Concurrency Patterns

Name: Tokio Concurrency Patterns
Author: geoffjay

bygeoffjay

•

Desarrollo de API

Implements high-performance asynchronous concurrency patterns for the Rust Tokio runtime.

Acerca de

This skill provides a comprehensive suite of advanced design patterns for building scalable, resilient, and high-concurrency async systems in Rust. It enables Claude to implement complex architectural requirements such as fan-out/fan-in task distribution, multi-stage pipeline processing, and intelligent rate limiting. Designed for developers building high-throughput microservices, it also includes essential patterns for system stability like circuit breakers, coordinated shutdowns using CancellationTokens, and efficient shared state management using Tokio's synchronization primitives.

Características Principales

Sophisticated fan-out/fan-in and pipeline processing implementations
Best practices for shared state management using Arc and RwLock
High-efficiency work-stealing queues and batching operations
Resilience patterns including circuit breakers and token-bucket rate limiting
2 GitHub stars
Graceful coordinated shutdown management with CancellationToken

Casos de Uso

Building high-throughput microservices that require efficient asynchronous task distribution
Developing complex data processing pipelines with multiple concurrent stages
Implementing resilience and stability patterns for API gateways and backend services

Acerca de

Características Principales

Sophisticated fan-out/fan-in and pipeline processing implementations
Best practices for shared state management using Arc and RwLock
High-efficiency work-stealing queues and batching operations
Resilience patterns including circuit breakers and token-bucket rate limiting
2 GitHub stars
Graceful coordinated shutdown management with CancellationToken

Casos de Uso

Building high-throughput microservices that require efficient asynchronous task distribution
Developing complex data processing pipelines with multiple concurrent stages
Implementing resilience and stability patterns for API gateways and backend services