rust-async-patterns▌
wshobson/agents · updated Apr 8, 2026
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$22
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))
}
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);
}
}
How to use rust-async-patterns on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add rust-async-patterns
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches rust-async-patterns from GitHub repository wshobson/agents and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate rust-async-patterns. Access the skill through slash commands (e.g., /rust-async-patterns) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★43 reviews- ★★★★★Yusuf Abbas· Dec 16, 2024
Registry listing for rust-async-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dhruvi Jain· Dec 12, 2024
Useful defaults in rust-async-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Fatima Patel· Nov 27, 2024
rust-async-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chen Thomas· Nov 23, 2024
We added rust-async-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yusuf Yang· Nov 7, 2024
Keeps context tight: rust-async-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Oshnikdeep· Nov 3, 2024
rust-async-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Fatima Rao· Oct 26, 2024
rust-async-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ganesh Mohane· Oct 22, 2024
Solid pick for teams standardizing on skills: rust-async-patterns is focused, and the summary matches what you get after install.
- ★★★★★Fatima Desai· Oct 18, 2024
We added rust-async-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Alexander Desai· Oct 14, 2024
rust-async-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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