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Get Started Free →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.
.claude/skills/dicklesworthstone-rust-async-patterns/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 24% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 45% | 0% |
| case-09 | ✓→✓ | = Same ✓ | 100% | 0% |
| case-03 | ✓→✓ | = Same ✓ | 93% | 0% |
| case-04 | ✓→✓ | = Same ✓ | 121% | 0% |
Production patterns for async Rust programming with Tokio runtime, including tasks, channels, streams, and error handling.
Future (lazy) → poll() → Ready(value) | Pending
↑ ↓
Waker ← Runtime schedules| 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 |
toml# 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"
rustuse 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)) }
rustuse 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, } }
rustuse 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(); }
rustuse 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))? }
rustuse 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(()) }
rustuse 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 }
rustuse 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; }
rustuse 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); }); } } }
rust// 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));
tokio::select! - For racing futuresJoinSet - For managing multiple tasksCancellationTokenstd::thread::sleep in async? or log| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-09 | pass→pass | 15,613 | 11,613 | -26% | 1 | 1 | 0% | 2,896 | 5,779 | +100% | 0 | 0 | — |
case-01 | fail→pass | 43,930 | 31,481 | -28% | 1 | 1 | 0% | 7,637 | 9,491 | +24% | 0 | 0 | — |
case-02 | fail→pass | 29,732 | 20,953 | -30% | 1 | 1 | 0% | 5,504 | 7,982 | +45% | 0 | 0 | — |
case-03 | pass→pass | 16,857 | 12,752 | -24% | 1 | 1 | 0% | 2,894 | 5,583 | +93% | 0 | 0 | — |
case-04 | pass→pass | 14,991 | 9,826 | -34% | 1 | 1 | 0% | 2,442 | 5,386 | +121% | 0 | 0 | — |
case-05 | pass→pass | 11,160 | 11,559 | +4% | 1 | 1 | 0% | 2,018 | 5,652 | +180% | 0 | 0 | — |
case-06 | pass→pass | 13,121 | 10,622 | -19% | 1 | 1 | 0% | 2,567 | 5,570 | +117% | 0 | 0 | — |
case-07 | pass→pass | 11,350 | 11,048 | -3% | 1 | 1 | 0% | 2,118 | 5,588 | +164% | 0 | 0 | — |
case-08 | pass→pass | 13,815 | 12,422 | -10% | 1 | 1 | 0% | 2,566 | 5,809 | +126% | 0 | 0 | — |
case-10 | pass→pass | 9,830 | 8,199 | -17% | 1 | 1 | 0% | 1,846 | 5,017 | +172% | 0 | 0 | — |
case-11 | pass→pass | 16,850 | 20,210 | +20% | 1 | 1 | 0% | 3,266 | 6,611 | +102% | 0 | 0 | — |
case-12 | pass→pass | 11,832 | 8,106 | -31% | 1 | 1 | 0% | 2,155 | 5,066 | +135% | 0 | 0 | — |
case-13 | pass→pass | 8,124 | 6,597 | -19% | 1 | 1 | 0% | 1,316 | 4,648 | +253% | 0 | 0 | — |
case-14 | pass→pass | 5,145 | 4,573 | -11% | 1 | 1 | 0% | 879 | 4,354 | +395% | 0 | 0 | — |
case-15 | fail→fail | 15,582 | 14,184 | -9% | 1 | 1 | 0% | 3,038 | 6,325 | +108% | 0 | 0 | — |
case-16 | pass→pass | 12,848 | 11,131 | -13% | 1 | 1 | 0% | 2,046 | 5,560 | +172% | 0 | 0 | — |
case-17 | pass→pass | 4,545 | 6,229 | +37% | 1 | 1 | 0% | 681 | 4,504 | +561% | 0 | 0 | — |
case-18 | pass→pass | 9,504 | 10,361 | +9% | 1 | 1 | 0% | 1,587 | 5,193 | +227% | 0 | 0 | — |
case-19 | pass→pass | 14,445 | 16,118 | +12% | 1 | 1 | 0% | 2,660 | 6,578 | +147% | 0 | 0 | — |
case-20 | pass→pass | 18,493 | 19,635 | +6% | 1 | 1 | 0% | 3,550 | 7,321 | +106% | 0 | 0 | — |
case-21 | pass→pass | 22,777 | 15,021 | -34% | 1 | 1 | 0% | 4,500 | 6,543 | +45% | 0 | 0 | — |
case-22 | pass→pass | 8,683 | 4,981 | -43% | 1 | 1 | 0% | 1,446 | 4,528 | +213% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +9 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.