Implement tokio-based async Rust patterns for task spawning, websockets, and channels.
npx skills add https://github.com/anicdh/agstack --skill rust-async-anicdh
Please help me install this Agent Skill. Skill: rust-async Source: https://github.com/anicdh/agstack/tree/main/.claude/skills/rust/rust-async Command: npx skills add https://github.com/anicdh/agstack --skill rust-async-anicdh
Async Rust programming often leads to complex, error-prone patterns for spawning tasks, managing WebSocket streams, and coordinating channels. This skill provides a structured set of patterns and examples to improve reliability, performance, and readability.
Ask me to demonstrate async Rust patterns with tokio for handling websockets, concurrency, and backpressure.
High-intent search queries and answers about installing and using this skill.
Handle backpressure in tokio channels by using bounded channel patterns that enforce non-blocking IO and safe concurrency. This approach ensures streaming workloads manage data flow efficiently, preventing memory overload during peak real-time data processing.
The best way to implement graceful shutdown in async Rust websockets is using structured tokio patterns for task spawning and error handling. This ensures active streaming connections close cleanly without dropping in-flight messages during server termination.
Spawn long-running concurrent tasks in tokio by applying non-blocking IO patterns and structured task spawning. This separates CPU-bound work and concurrent I/O operations, maintaining high throughput and safe concurrency in server-side Rust projects.
Yes, you can use tokio channels for fan-out and request-response workflows in Rust. The skill provides specific channel communication patterns that coordinate multiple concurrent tasks, ensuring safe data distribution and structured error handling.
Yes, this async Rust skill provides websocket handling patterns including keep-alive, reconnect, and message dispatch. These patterns ensure reliable real-time data streaming and robust connection management for high throughput server-side applications.
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