
Rust Async Patterns
- 16.3k installs
- 38.3k repo stars
- Updated July 22, 2026
- wshobson/agents
Rust Async Patterns is a skill for production async/await programming with Tokio runtime, covering concurrency, error handling, and performance optimization.
About
Rust Async Patterns teaches production async/await programming with the Tokio runtime for building high-performance concurrent systems. It covers Tokio tasks, channels, streams, error propagation, JoinSet for managing multiple tasks, select! for racing futures, and proper cancellation token handling. Use this skill when building async Rust services, implementing concurrent I/O operations, or debugging async code issues. It emphasizes non-blocking operations, proper error handling with `?`, and best practices like avoiding locks across await points and handling graceful shutdown.
- Tokio runtime patterns for async/await concurrency without blocking
- Task management with JoinSet, channels, and select! for racing futures
- Error handling, cancellation tokens, and graceful shutdown patterns
Rust Async Patterns by the numbers
- 16,257 all-time installs (skills.sh)
- +329 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Ranked #1 of 129 Rust skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
rust-async-patterns capabilities & compatibility
- Use cases
- api development
- Runs
- Runs locally
- Pricing
- Free
What rust-async-patterns says it does
Production patterns for async Rust programming with Tokio runtime, including tasks, channels, streams, and error handling.
npx skills add https://github.com/wshobson/agents --skill rust-async-patternsAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 16.3k |
|---|---|
| repo stars | ★ 38.3k |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 22, 2026 |
| Repository | wshobson/agents ↗ |
How do you write production async Rust with Tokio?
Rust Async Patterns teaches production async/await programming with the Tokio runtime for building high-performance concurrent systems. It covers Tokio tasks, channels, streams, error propagation, Jo
Who is it for?
Rust developers shipping concurrent network services or CLIs on Tokio who need idiomatic async patterns and deadlock avoidance guidance.
Skip if: Synchronous Rust-only scripts, embedded no_std targets without async runtime, or teams standardized on non-Rust stacks.
When should I use this skill?
User implements async Rust, debugs Tokio deadlocks, needs async-trait services, or asks about channels and JoinSet patterns.
What you get
Tokio-based async Rust modules with channel coordination, select loops, traced tasks, and cancellation-safe error handling.
- async service implementation
- concurrent task handling
- proper error propagation
By the numbers
- Documents 5 recommended Cargo dependencies for async Rust
- Lists 5 async anti-patterns in the Don'ts section
- Includes 5 core async abstraction concepts in a reference table
Files
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 schedules2. 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::sleepin 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
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));Related skills
How it compares
Pick rust-async-patterns for Tokio service implementation; use general Rust skills when the task is sync CLI tooling without an async runtime.
FAQ
What should I use instead of sleep in async code?
Use tokio::time::sleep(Duration) which is async-aware and doesn't block the executor, unlike std::thread::sleep which blocks everything.
How do I manage multiple concurrent tasks?
Use JoinSet to spawn and manage multiple tasks, then iterate through results. Use select! to race futures and respond to the first completion.
Is Rust Async Patterns safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.