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m07-concurrency

Design safe Rust concurrency with Arc, Mutex, and RwLock.

1|Updated May 29, 2026
Search Tags:#concurrency#rust#deadlock#tokio#data-race#Mutex#Arc
One-click install
npx skills add https://github.com/simorgh3196/tsuzulint --skill m07-concurrency
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: m07-concurrency
Source: https://github.com/simorgh3196/tsuzulint/tree/main/.agents/skills/m07-concurrency
Command: npx skills add https://github.com/simorgh3196/tsuzulint --skill m07-concurrency

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Concurrency in Rust is error-prone; this Skill provides practical guidance for safe and efficient concurrency strategies using standard primitives and async patterns.

Core Features & Use Cases

  • Understand when to use threads vs async and how to share data safely with Arc, Mutex, and RwLock.
  • Apply practical patterns such as Arc<Mutex<T>> for shared mutable state and channel-based coordination for robust synchronization.
  • Real-world scenarios include parallel data processing, safe multi-task servers, and robust error handling in concurrent tasks.

Quick Start

Review the included Rust concurrency examples and adapt Arc<Mutex<T>> or Arc<RwLock<T>> patterns to your codebase for thread-safe shared state.

Frequently Asked Questions about m07-concurrency

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I share mutable state across threads in Rust without causing a data race?▼

To share mutable state and prevent data races in Rust, wrap your data in Arc<Mutex<T>> or Arc<RwLock<T>>. These primitives enforce synchronized access, ensuring only one thread mutates data at a time while allowing safe concurrent reads.

When should I use async tasks versus OS threads for Rust concurrency?▼

Use async tasks for IO-bound workloads to handle many concurrent operations efficiently, and use OS threads for CPU-bound processing. Rust concurrency patterns apply to both, ensuring safe data sharing regardless of your chosen execution model.

What is the best way to coordinate concurrent Rust tasks without deadlocks?▼

Coordinate concurrent Rust tasks and avoid deadlocks by using channels for thread communication and synchronization. Channels decouple task execution, preventing circular waiting while safely passing data between concurrent processes.

Does Tokio work with Arc and Mutex for async data sharing in Rust?▼

Yes, Tokio works with Arc and Mutex for async data sharing in Rust. You can use Arc<Mutex<T>> within Tokio async tasks to manage shared mutable state across multiple concurrent futures safely without data races.

Why does my Rust application hang when using multiple Mutex locks?▼

Your Rust application hangs due to a deadlock caused by multiple Mutex locks acquired in inconsistent orders. Avoid deadlocks by using channels for coordination or ensuring a strict, global lock acquisition order across all concurrent tasks.

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