Can it help me choose between Mutex and Channels?

The skill provides a decision flowchart to help you determine if your use case is better suited for shared mutable state (Mutex/RwLock) or message passing (MPSC channels).

Does it support the Tokio runtime?

Yes, it includes specific patterns for Tokio, including handling blocking code with spawn_blocking and avoiding common async pitfalls like holding MutexGuards across await points.

How does it handle deadlock prevention?

It guides users through consistent lock ordering and provides anti-patterns to avoid, such as holding multiple locks or blocking an async executor with thread::sleep.

How does this skill help with E0277 errors in Rust?

It analyzes the context of the error to determine if a type should cross thread boundaries, then provides specific architectural fixes like using Arc, Mutex, or switching to spawn_local.

Rust Concurrency & Async Expert

Name: Rust Concurrency & Async Expert
Author: lywa1998

bylywa1998

开发者工具

Provides expert guidance for implementing thread-safe, high-performance concurrent and asynchronous systems in Rust.

关于

This skill enhances Claude's ability to architect and debug complex concurrent systems in Rust by providing a structured framework for decision-making. It helps developers choose between CPU-bound parallelism using threads and I/O-bound concurrency via async/await. By analyzing low-level language mechanics like Send and Sync traits, the skill assists in resolving common compiler errors (such as E0277), preventing deadlocks, and selecting the most efficient data-sharing primitives like Arc, Mutex, and channels based on specific domain constraints.

主要功能

Best practices for shared state management using Arc, Mutex, and RwLock
Intelligent selection between multi-threading (std::thread/Rayon) and async (Tokio)
Deadlock prevention through lock-ordering and safety pattern analysis
Advanced debugging for Send and Sync trait violations and E0277 errors
Optimization of async patterns including MutexGuard scoping and Send-safe futures
0 GitHub stars

使用场景

Resolving complex 'Future is not Send' and ownership errors in asynchronous codebases
Designing thread-safe shared state for web backends and distributed cloud-native services
Refactoring synchronous logic into high-performance parallel tasks for CPU-heavy workloads

关于

主要功能

Best practices for shared state management using Arc, Mutex, and RwLock
Intelligent selection between multi-threading (std::thread/Rayon) and async (Tokio)
Deadlock prevention through lock-ordering and safety pattern analysis
Advanced debugging for Send and Sync trait violations and E0277 errors
Optimization of async patterns including MutexGuard scoping and Send-safe futures
0 GitHub stars

使用场景

Resolving complex 'Future is not Send' and ownership errors in asynchronous codebases
Designing thread-safe shared state for web backends and distributed cloud-native services
Refactoring synchronous logic into high-performance parallel tasks for CPU-heavy workloads