rust-async-patterns

Provide production patterns for writing and debugging asynchronous Rust code with Tokio.

19|3|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/dirien/yet-another-agent-harness --skill rust-async-patterns-dirien
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rust-async-patterns
Source: https://github.com/dirien/yet-another-agent-harness/tree/main/.claude/skills/rust-async-patterns
Command: npx skills add https://github.com/dirien/yet-another-agent-harness --skill rust-async-patterns-dirien

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps developers design, implement, and debug asynchronous Rust applications by providing production-ready patterns for task orchestration, inter-task communication, error handling, and graceful shutdown, reducing race conditions, deadlocks, and subtle runtime bugs.

Core Features & Use Cases

  • Concurrent Task Management: Patterns for spawning, joining, limiting, and racing tasks to maximize throughput while controlling resource usage.
  • Channel and Stream Communication: Guidance on using mpsc, broadcast, oneshot, watch, and stream combinators for safe message passing and backpressure.
  • Error Handling & Shutdown: Strategies for typed errors, context propagation, timeouts, cancellation, and coordinated graceful shutdown in networked services.
  • Use Case: Build a Tokio-based microservice that concurrently fetches data from multiple endpoints, aggregates results with bounded concurrency, and shuts down cleanly on SIGINT without leaking resources.

Quick Start

Ask the assistant to analyze your async Rust module and recommend concurrency, error-handling, and graceful shutdown improvements tailored for the Tokio runtime.

Frequently Asked Questions about rust-async-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I handle graceful shutdown in a Tokio-based Rust microservice?

Graceful shutdown in a Tokio-based Rust microservice requires coordinated task cancellation and resource cleanup. This skill provides patterns for catching signals like SIGINT, propagating timeouts, and closing channels without leaking resources or dropping active connections.

What is the best way to manage concurrency and backpressure with Rust streams?

Managing concurrency and backpressure with Rust streams involves using bounded mpsc channels and stream combinators. This skill offers patterns for safe message passing, limiting concurrent task spawning, and aggregating results to maximize throughput without overwhelming system resources.

How do I fix deadlocks and race conditions in async Rust tasks?

Fixing deadlocks and race conditions in async Rust tasks requires correct inter-task communication and task orchestration. This skill helps debug asynchronous Rust code by applying production patterns for channel-based communication, Send bounds, and proper future handling to eliminate subtle runtime bugs.

Can I use this to improve error handling and context propagation in async Rust?

Yes, you can improve error handling and context propagation in async Rust using this skill. It provides strategies for implementing typed errors, propagating context across concurrent tasks, and managing cancellation timeouts within Tokio networked services and background-worker applications.

Does this skill recommend idiomatic crates for Tokio runtime configurations?

Yes, this skill recommends idiomatic crates and runtime configurations for Tokio-based services. It guides the correct use of futures, task spawning, and channel communication including mpsc, broadcast, oneshot, and watch for safe and efficient asynchronous Rust development.