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rust-async-patterns

by @wshobsonv
4.5(120)

This skill provides production-grade patterns for async Rust programming, covering Tokio runtime, tasks, channels, streams, and error handling. It helps developers build high-performance, concurrent async Rust applications, effectively manage errors in concurrent services, and optimize code performance, thereby improving development efficiency and system stability.

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Installation
npx skills add https://github.com/wshobson/agents --skill rust-async-patterns
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Before / After Comparison

2
Before

Without clear async pattern guidance, Rust developers often face complex concurrency debugging, deadlocks, and performance bottlenecks, leading to extended development cycles and unstable systems.

After

By applying these proven async patterns, developers can significantly reduce debugging time, prevent common concurrency issues, and build robust, high-performance Rust services with greater confidence and efficiency.

SKILL.md

Rust Async Patterns

Production patterns for async Rust programming with Tokio runtime, including tasks, channels, streams, and error handling.

When to Use This Skill

  • Building async Rust applications
  • Implementing concurrent network services
  • Using Tokio for async I/O
  • Handling async errors properly
  • Debugging async code issues
  • Optimizing async performance

Core Concepts

1. Async Execution Model

Future (lazy) → poll() → Ready(value) | Pending
                ↑           ↓
              Waker ← Runtime schedules

2. Key Abstractions

ConceptPurpose
FutureLazy computation that may complete later
async fnFunction returning impl Future
awaitSuspend until future completes
TaskSpawned future running concurrently
RuntimeExecutor that polls futures

Quick Start

# Cargo.toml
[dependencies]
tokio = { version = "1", features = ["full"] }
futures = "0.3"
async-trait = "0.1"
anyhow = "1.0"
tracing = "0.1"
tracing-subscriber = "0.3"
use tokio::time::{sleep, Duration};
use anyhow::Result;

#[tokio::main]
async fn main() -> Result<()> {
    // Initialize tracing
    tracing_subscriber::fmt::init();

    // Async operations
    let result = fetch_data("https://api.example.com").await?;
    println!("Got: {}", result);

    Ok(())
}

async fn fetch_data(url: &str) -> Result<String> {
    // Simulated async operation
    sleep(Duration::from_millis(100)).await;
    Ok(format!("Data from {}", url))
}

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

Do's

  • Use tokio::select! - For racing futures
  • Prefer channels - Over shared state when possible
  • Use JoinSet - For managing multiple tasks
  • Instrument with tracing - For debugging async code
  • Handle cancellation - Check CancellationToken

Don'ts

  • Don't block - Never use std::thread::sleep in async
  • Don't hold locks across awaits - Causes deadlocks
  • Don't spawn unboundedly - Use semaphores for limits
  • Don't ignore errors - Propagate with ? or log
  • Don't forget Send bounds - For spawned futures

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Installs15.4K
Rating4.5 / 5.0
Version
Updated2026年7月8日
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Compatible Platforms

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Timeline

Created2026年5月29日
Last Updated2026年7月8日
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