How does it handle error recovery?

The skill provides patterns for implementing timeouts on external operations and exponential backoff strategies for retrying failed tasks.

What is the Tokio Patterns skill for Claude Code?

It is a specialized capability that provides Claude with idiomatic patterns and best practices for writing asynchronous Rust code using the Tokio framework.

Does this skill help with task cancellation in Rust?

Yes, it includes patterns for using CancellationToken and the select! macro to implement cooperative cancellation and manage task lifecycles.

Can I use this for building microservices?

Absolutely. The included request-response actor and pub/sub patterns are specifically designed for robust communication in distributed systems and microservices.

Tokio Async Patterns

Name: Tokio Async Patterns
Author: geoffjay

bygeoffjay

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API Development

Provides production-ready asynchronous programming patterns and idioms for Rust applications using the Tokio runtime.

About

This skill equips Claude with specialized knowledge for implementing sophisticated asynchronous logic in Rust. It offers a comprehensive library of proven patterns for managing concurrency, including worker pools with semaphores, request-response actor models, and broadcast-based pub/sub systems. By leveraging these idioms, developers can ensure their Rust services handle graceful shutdowns, implement reliable retries with exponential backoff, and manage resource lifecycles effectively within the Tokio ecosystem, significantly reducing the complexity of building robust concurrent software.

Key Features

Resilience patterns including timeouts and exponential backoff retries
Worker pool implementation using semaphores for concurrency control
Cooperative graceful shutdown and hierarchical cancellation tokens
Broadcast-based pub/sub messaging for multi-subscriber architectures
2 GitHub stars
Request-response actor patterns utilizing mpsc and oneshot channels

Use Cases

Building high-performance, concurrent backend services and APIs
Implementing complex inter-task communication and state management in async Rust
Ensuring application stability through graceful shutdown and resource cleanup protocols

About

Key Features

Resilience patterns including timeouts and exponential backoff retries
Worker pool implementation using semaphores for concurrency control
Cooperative graceful shutdown and hierarchical cancellation tokens
Broadcast-based pub/sub messaging for multi-subscriber architectures
2 GitHub stars
Request-response actor patterns utilizing mpsc and oneshot channels

Use Cases

Building high-performance, concurrent backend services and APIs
Implementing complex inter-task communication and state management in async Rust
Ensuring application stability through graceful shutdown and resource cleanup protocols