Rust Learner

The Rust Learner skill provides a structured curriculum for AI agents to master the Rust programming language, focusing on core syntax, ownership patterns, and ecosystem tools. It guides agents through building practical projects like CLI utilities and web servers while enforcing safe memory management principles.

When to use it

• Onboard new AI agents into backend development workflows requiring high-performance, memory-safe code.
• Teach agents to navigate Rust's unique ownership model and borrow checker without manual intervention.
• Generate scaffolding for common Rust patterns such as error handling with Result and Option.
• Prepare agents to interact with the Cargo package manager for dependency management and project setup.

Key capabilities

• Explains complex concepts like lifetimes, traits, and generics in simple terms.
• Generates idiomatic Rust code snippets adhering to current best practices.
• Debugs common compilation errors related to borrowing rules and type mismatches.
• Suggests libraries from crates.io for specific functional requirements.

Example prompts

• "Explain the difference between &T and &mut T using a real-world analogy."
• "Write a Rust function that reads a file line-by-line and handles errors gracefully using the ? operator."
• "Create a simple CLI tool in Rust that accepts command-line arguments and prints them to stdout."

Tips & gotchas

Ensure your AI agent understands that Rust's compiler is strict; prompts should explicitly request explanations for borrow checker errors rather than just code fixes. Start with basic syntax before attempting complex concurrency patterns like async/await or channels.