When does this skill recommend using ValueTask instead of Task?

The skill suggests using ValueTask for high-performance scenarios where the operation is likely to complete synchronously, helping to reduce memory allocations.

Can this skill help with parallel processing?

Absolutely. It identifies opportunities to use Task.WhenAll() for parallel execution of multiple tasks to improve overall application throughput.

How does this skill help prevent application deadlocks?

It identifies dangerous blocking calls such as .Wait(), .Result, or .GetAwaiter().GetResult() and suggests non-blocking await alternatives to keep the synchronization context free.

Is it suitable for both library and application code?

Yes, it includes specific best practices like the use of ConfigureAwait(false) which is essential for library authors to avoid context capturing.

Does it provide guidance on exception handling in async methods?

Yes, it enforces the use of try/catch blocks around await expressions and ensures exceptions are propagated correctly using Task.FromException() where appropriate.

C# Async Programming

Name: C# Async Programming
Author: rodolfolermacontreras

byrodolfolermacontreras

•

API Development

Implements and enforces C# asynchronous programming best practices to ensure high-performance, deadlock-free .NET applications.

The C# Async Programming skill is a specialized guide designed to help developers master the Task-based Asynchronous Pattern (TAP) within the .NET ecosystem. It provides comprehensive guidance on naming conventions, optimal return types like Task and ValueTask, and robust exception handling strategies to prevent common issues like deadlocks and swallowed exceptions. By integrating these patterns, the skill ensures that your C# code is scalable, responsive, and follows the latest industry standards for modern software development.

Key Features

011 GitHub stars

02Optimization of return types using Task, Task<T>, and ValueTask<T>

03Deadlock prevention through ConfigureAwait(false) and blocking-call detection

04Advanced exception handling strategies for async/await blocks

05Enforcement of Task-based Asynchronous Pattern (TAP) naming conventions

06Performance tuning using Task.WhenAll and Task.WhenAny for parallel operations

Use Cases

01Implementing efficient resource management and cancellation tokens in high-scale .NET APIs

02Refactoring legacy synchronous C# codebases into modern, non-blocking asynchronous architectures

03Performing automated code reviews to identify and fix 'async void' or blocking .Result calls

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rodolfolermacontreras/microsoft-ai-learning csharp-async

For use in Claude.ai and ChatGPT

Key Features

011 GitHub stars

02Optimization of return types using Task, Task<T>, and ValueTask<T>

03Deadlock prevention through ConfigureAwait(false) and blocking-call detection

04Advanced exception handling strategies for async/await blocks

05Enforcement of Task-based Asynchronous Pattern (TAP) naming conventions

06Performance tuning using Task.WhenAll and Task.WhenAny for parallel operations

Use Cases

01Implementing efficient resource management and cancellation tokens in high-scale .NET APIs

02Refactoring legacy synchronous C# codebases into modern, non-blocking asynchronous architectures

03Performing automated code reviews to identify and fix 'async void' or blocking .Result calls

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rodolfolermacontreras/microsoft-ai-learning csharp-async

For use in Claude.ai and ChatGPT