Rust Async Patterns

Seth HobsonCommunityCreated by Seth Hobson

Skill
Guidelines
Software development
MIT
No issues found

From the author

Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.

— the description by Seth Hobson

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to asynchronous Rust development. It covers core abstractions like Futures, async functions, and the Tokio runtime, while offering patterns for concurrent task execution, inter-task communication via channels, and error handling strategies. It includes best practices for managing async state and avoiding common pitfalls such as blocking operations or deadlocks.

What it does

Explains the Rust async execution model and the role of the runtime.
Demonstrates concurrent task management using JoinSet and stream processing.
Provides patterns for inter-task communication using mpsc, broadcast, oneshot, and watch channels.
Outlines strategies for error propagation and custom error types in async contexts.
Lists essential do's and don'ts for writing safe and effective async code.
Offers examples for racing futures and implementing timeouts.

When to use it

When building applications that require asynchronous I/O.
When implementing concurrent network services in Rust.
When you need to manage multiple concurrent tasks or streams.
When debugging issues related to async execution or task synchronization.
When establishing error handling patterns for async functions.

Advantages

Provides clear, idiomatic patterns for common async scenarios.
Helps avoid common async pitfalls like blocking the executor or holding locks across await points.
Standardizes the use of channels for communication between concurrent tasks.
Offers a structured approach to managing task lifecycles and concurrency limits.

Usage examples

“How do I run multiple network requests concurrently in Rust?”: The skill provides a pattern using JoinSet to spawn multiple tasks and collect their results, or using stream processing with buffer_unordered to enforce concurrency limits.
“What is the best way to communicate between two async tasks?”: The skill explains various channel types including mpsc for producer-consumer, broadcast for multi-consumer, and oneshot for single-value communication.
“How should I handle errors in an async function?”: The skill demonstrates using the anyhow crate for context-aware error propagation and defining custom error enums with thiserror for library-level code.
“How can I race two async operations and take the first result?”: The skill shows how to use the tokio::select! macro to wait on multiple futures and return the result of the one that completes first.

Install

Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/wshobson/rust-async-patterns/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip rust-async-patterns.zip -d .agents/skills

Documentation by Seth Hobson

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

Concept	Purpose
`Future`	Lazy computation that may complete later
`async fn`	Function returning impl Future
`await`	Suspend until future completes
`Task`	Spawned future running concurrently
`Runtime`	Executor 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

Files

ATTRIBUTION.mdAdded by AutoGineer995 B
LICENSELicence file added by AutoGineer1.0 KiB
SKILL.md2.6 KiB
references/details.md9.7 KiB

references/details.md

rust-async-patterns — detailed patterns and worked examples

Patterns

Pattern 1: Concurrent Task Execution

use tokio::task::JoinSet;
use anyhow::Result;

// Spawn multiple concurrent tasks
async fn fetch_all_concurrent(urls: Vec<String>) -> Result<Vec<String>> {
    let mut set = JoinSet::new();

    for url in urls {
        set.spawn(async move {
            fetch_data(&url).await
        });
    }

    let mut results = Vec::new();
    while let Some(res) = set.join_next().await {
        match res {
            Ok(Ok(data)) => results.push(data),
            Ok(Err(e)) => tracing::error!("Task failed: {}", e),
            Err(e) => tracing::error!("Join error: {}", e),
        }
    }

    Ok(results)
}

// With concurrency limit
use futures::stream::{self, StreamExt};

async fn fetch_with_limit(urls: Vec<String>, limit: usize) -> Vec<Result<String>> {
    stream::iter(urls)
        .map(|url| async move { fetch_data(&url).await })
        .buffer_unordered(limit) // Max concurrent tasks
        .collect()
        .await
}

// Select first to complete
use tokio::select;

async fn race_requests(url1: &str, url2: &str) -> Result<String> {
    select! {
        result = fetch_data(url1) => result,
        result = fetch_data(url2) => result,
    }
}

Pattern 2: Channels for Communication

use tokio::sync::{mpsc, broadcast, oneshot, watch};

// Multi-producer, single-consumer
async fn mpsc_example() {
    let (tx, mut rx) = mpsc::channel::<String>(100);

    // Spawn producer
    let tx2 = tx.clone();
    tokio::spawn(async move {
        tx2.send("Hello".to_string()).await.unwrap();
    });

    // Consume
    while let Some(msg) = rx.recv().await {
        println!("Got: {}", msg);
    }
}

// Broadcast: multi-producer, multi-consumer
async fn broadcast_example() {
    let (tx, _) = broadcast::channel::<String>(100);

    let mut rx1 = tx.subscribe();
    let mut rx2 = tx.subscribe();

    tx.send("Event".to_string()).unwrap();

    // Both receivers get the message
    let _ = rx1.recv().await;
    let _ = rx2.recv().await;
}

// Oneshot: single value, single use
async fn oneshot_example() -> String {
    let (tx, rx) = oneshot::channel::<String>();

    tokio::spawn(async move {
        tx.send("Result".to_string()).unwrap();
    });

    rx.await.unwrap()
}

// Watch: single producer, multi-consumer, latest value
async fn watch_example() {
    let (tx, mut rx) = watch::channel("initial".to_string());

    tokio::spawn(async move {
        loop {
            // Wait for changes
            rx.changed().await.unwrap();
            println!("New value: {}", *rx.borrow());
        }
    });

    tx.send("updated".to_string()).unwrap();
}

Pattern 3: Async Error Handling

use anyhow::{Context, Result, bail};
use thiserror::Error;

#[derive(Error, Debug)]
pub enum ServiceError {
    #[error("Network error: {0}")]
    Network(#[from] reqwest::Error),

    #[error("Database error: {0}")]
    Database(#[from] sqlx::Error),

    #[error("Not found: {0}")]
    NotFound(String),

    #[error("Timeout after {0:?}")]
    Timeout(std::time::Duration),
}

// Using anyhow for application errors
async fn process_request(id: &str) -> Result<Response> {
    let data = fetch_data(id)
        .await
        .context("Failed to fetch data")?;

    let parsed = parse_response(&data)
        .context("Failed to parse response")?;

    Ok(parsed)
}

// Using custom errors for library code
async fn get_user(id: &str) -> Result<User, ServiceError> {
    let result = db.query(id).await?;

    match result {
        Some(user) => Ok(user),
        None => Err(ServiceError::NotFound(id.to_string())),
    }
}

// Timeout wrapper
use tokio::time::timeout;

async fn with_timeout<T, F>(duration: Duration, future: F) -> Result<T, ServiceError>
where
    F: std::future::Future<Output = Result<T, ServiceError>>,
{
    timeout(duration, future)
        .await
        .map_err(|_| ServiceError::Timeout(duration))?
}

Pattern 4: Graceful Shutdown

use tokio::signal;
use tokio::sync::broadcast;
use tokio_util::sync::CancellationToken;

async fn run_server() -> Result<()> {
    // Method 1: CancellationToken
    let token = CancellationToken::new();
    let token_clone = token.clone();

    // Spawn task that respects cancellation
    tokio::spawn(async move {
        loop {
            tokio::select! {
                _ = token_clone.cancelled() => {
                    tracing::info!("Task shutting down");
                    break;
                }
                _ = do_work() => {}
            }
        }
    });

    // Wait for shutdown signal
    signal::ctrl_c().await?;
    tracing::info!("Shutdown signal received");

    // Cancel all tasks
    token.cancel();

    // Give tasks time to cleanup
    tokio::time::sleep(Duration::from_secs(5)).await;

    Ok(())
}

// Method 2: Broadcast channel for shutdown
async fn run_with_broadcast() -> Result<()> {
    let (shutdown_tx, _) = broadcast::channel::<()>(1);

    let mut rx = shutdown_tx.subscribe();
    tokio::spawn(async move {
        tokio::select! {
            _ = rx.recv() => {
                tracing::info!("Received shutdown");
            }
            _ = async { loop { do_work().await } } => {}
        }
    });

    signal::ctrl_c().await?;
    let _ = shutdown_tx.send(());

    Ok(())
}

Pattern 5: Async Traits

use async_trait::async_trait;

#[async_trait]
pub trait Repository {
    async fn get(&self, id: &str) -> Result<Entity>;
    async fn save(&self, entity: &Entity) -> Result<()>;
    async fn delete(&self, id: &str) -> Result<()>;
}

pub struct PostgresRepository {
    pool: sqlx::PgPool,
}

#[async_trait]
impl Repository for PostgresRepository {
    async fn get(&self, id: &str) -> Result<Entity> {
        sqlx::query_as!(Entity, "SELECT * FROM entities WHERE id = $1", id)
            .fetch_one(&self.pool)
            .await
            .map_err(Into::into)
    }

    async fn save(&self, entity: &Entity) -> Result<()> {
        sqlx::query!(
            "INSERT INTO entities (id, data) VALUES ($1, $2)
             ON CONFLICT (id) DO UPDATE SET data = $2",
            entity.id,
            entity.data
        )
        .execute(&self.pool)
        .await?;
        Ok(())
    }

    async fn delete(&self, id: &str) -> Result<()> {
        sqlx::query!("DELETE FROM entities WHERE id = $1", id)
            .execute(&self.pool)
            .await?;
        Ok(())
    }
}

// Trait object usage
async fn process(repo: &dyn Repository, id: &str) -> Result<()> {
    let entity = repo.get(id).await?;
    // Process...
    repo.save(&entity).await
}

Pattern 6: Streams and Async Iteration

use futures::stream::{self, Stream, StreamExt};
use async_stream::stream;

// Create stream from async iterator
fn numbers_stream() -> impl Stream<Item = i32> {
    stream! {
        for i in 0..10 {
            tokio::time::sleep(Duration::from_millis(100)).await;
            yield i;
        }
    }
}

// Process stream
async fn process_stream() {
    let stream = numbers_stream();

    // Map and filter
    let processed: Vec<_> = stream
        .filter(|n| futures::future::ready(*n % 2 == 0))
        .map(|n| n * 2)
        .collect()
        .await;

    println!("{:?}", processed);
}

// Chunked processing
async fn process_in_chunks() {
    let stream = numbers_stream();

    let mut chunks = stream.chunks(3);

    while let Some(chunk) = chunks.next().await {
        println!("Processing chunk: {:?}", chunk);
    }
}

// Merge multiple streams
async fn merge_streams() {
    let stream1 = numbers_stream();
    let stream2 = numbers_stream();

    let merged = stream::select(stream1, stream2);

    merged
        .for_each(|n| async move {
            println!("Got: {}", n);
        })
        .await;
}

Pattern 7: Resource Management

use std::sync::Arc;
use tokio::sync::{Mutex, RwLock, Semaphore};

// Shared state with RwLock (prefer for read-heavy)
struct Cache {
    data: RwLock<HashMap<String, String>>,
}

impl Cache {
    async fn get(&self, key: &str) -> Option<String> {
        self.data.read().await.get(key).cloned()
    }

    async fn set(&self, key: String, value: String) {
        self.data.write().await.insert(key, value);
    }
}

// Connection pool with semaphore
struct Pool {
    semaphore: Semaphore,
    connections: Mutex<Vec<Connection>>,
}

impl Pool {
    fn new(size: usize) -> Self {
        Self {
            semaphore: Semaphore::new(size),
            connections: Mutex::new((0..size).map(|_| Connection::new()).collect()),
        }
    }

    async fn acquire(&self) -> PooledConnection<'_> {
        let permit = self.semaphore.acquire().await.unwrap();
        let conn = self.connections.lock().await.pop().unwrap();
        PooledConnection { pool: self, conn: Some(conn), _permit: permit }
    }
}

struct PooledConnection<'a> {
    pool: &'a Pool,
    conn: Option<Connection>,
    _permit: tokio::sync::SemaphorePermit<'a>,
}

impl Drop for PooledConnection<'_> {
    fn drop(&mut self) {
        if let Some(conn) = self.conn.take() {
            let pool = self.pool;
            tokio::spawn(async move {
                pool.connections.lock().await.push(conn);
            });
        }
    }
}

Debugging Tips

// Enable tokio-console for runtime debugging
// Cargo.toml: tokio = { features = ["tracing"] }
// Run: RUSTFLAGS="--cfg tokio_unstable" cargo run
// Then: tokio-console

// Instrument async functions
use tracing::instrument;

#[instrument(skip(pool))]
async fn fetch_user(pool: &PgPool, id: &str) -> Result<User> {
    tracing::debug!("Fetching user");
    // ...
}

// Track task spawning
let span = tracing::info_span!("worker", id = %worker_id);
tokio::spawn(async move {
    // Enters span when polled
}.instrument(span));

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by

Seth Hobson

Publisher

Seth Hobson (Community)

Source

wshobson/agents · plugins/systems-programming/skills/rust-async-patterns · commit 4bde316

Licence

MIT License (redistribution allowed)

LICENSE (added by AutoGineer from LICENSE)
ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-08

AutoGineer is not affiliated with or endorsed by Seth Hobson.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download rust-async-patterns.zip

From the author

AutoGineer summary

What it does

When to use it

Advantages

Usage examples

Install

Documentation by Seth Hobson

Rust Async Patterns

When to Use This Skill

Core Concepts

1. Async Execution Model

2. Key Abstractions

Quick Start

Detailed patterns and worked examples

Best Practices

Do's

Don'ts

Files

references/details.md

rust-async-patterns — detailed patterns and worked examples

Patterns

Pattern 1: Concurrent Task Execution

Pattern 2: Channels for Communication

Pattern 3: Async Error Handling

Pattern 4: Graceful Shutdown

Pattern 5: Async Traits

Pattern 6: Streams and Async Iteration

Pattern 7: Resource Management

Debugging Tips

Requirements and compatibility

Security

Attribution and licence

Related skills

Implement

Source Driven Development

Write Swift

Cardputer Buddy

Typescript Pro

Scala Pro

Download ZIP