rust

Build safe, concurrent Rust backend services with clean architecture and Result/Option error handling.

4|2|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/hiimtrung/coder --skill rust-hiimtrung
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rust
Source: https://github.com/hiimtrung/coder/tree/main/.agents/skills/rust
Command: npx skills add https://github.com/hiimtrung/coder --skill rust-hiimtrung

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables teams to standardize on robust Rust backends by codifying ownership-based patterns, clean architecture, and memory safety as first-class practices, reducing bugs and enabling scalable services.

Core Features & Use Cases

  • Clean Architecture: Domain → Application → Presentation to separate concerns and improve testability.
  • Ownership & Borrowing: Enforces explicit handling with Result/Option, preventing nulls and data races.
  • Trait-Based Design: Dependencies are abstracted via traits for flexible, testable integrations.

Quick Start

Create a small Rust service module using clean architecture and ownership-based design to demonstrate safe concurrency.

Frequently Asked Questions about rust

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

FAQPage Schema
How does ownership and borrowing work for safe concurrency in Rust backends?

Ownership and borrowing enforce explicit memory management with Result and Option types, preventing nulls and data races to ensure safe concurrency in Rust backends.

What is the best way to structure a Rust backend using clean architecture?

Structure a Rust backend by separating concerns into Domain, Application, and Presentation layers. This clean architecture improves testability and leverages trait-based dependencies for flexible integrations.

Can I use this clean architecture approach with Actix, Axum, and Rocket?

Yes, this approach applies to backend services written with Actix, Axum, and Rocket. It structures domains, use cases, and interfaces while enforcing robust error handling across these frameworks.

Why should I avoid unwraps in Rust application logic?

Avoid unwraps in Rust application logic to prevent runtime panics. Using Result and Option error handling instead enforces robust, memory-safe execution and prevents unexpected service crashes.

How do I abstract dependencies for testable Rust services?

Abstract dependencies for testable Rust services by using trait-based design. Defining dependencies via traits creates flexible interfaces, enabling robust mocking and testable integrations within your clean architecture.