Rust Refactor

What it does

The rust-refactor skill enables AI agents to analyze Rust codebases and generate optimized refactoring strategies. It focuses on improving code quality, performance, and maintainability by identifying specific patterns that require structural changes.

When to use it

• Legacy Code Modernization: Updating older Rust projects to follow the latest edition syntax and best practices.
• Performance Optimization: Refactoring inefficient algorithms or memory-heavy operations in high-performance backend services.
• Safety Audits: Identifying potential undefined behavior or unsafe block usage that could lead to runtime panics.
• Architecture Cleanup: Restructuring monolithic modules into smaller, testable crates or libraries.

Key capabilities

• Analyzes existing Rust source files for anti-patterns and technical debt.
• Generates concrete refactoring plans tailored to the specific codebase context.
• Suggests improvements for error handling, ownership management, and trait implementations.
• Provides actionable code snippets demonstrating how to apply the suggested changes.

Example prompts

• "Analyze my src/main.rs file and suggest a refactoring plan to reduce cyclomatic complexity."
• "Identify unsafe blocks in this Rust backend service and propose safer alternatives using standard library features."
• "Refactor this module to use async/await patterns instead of futures for better readability."

Tips & gotchas

Ensure your codebase compiles before running the skill, as some refactoring suggestions may depend on specific compiler versions or feature flags. Always review generated changes manually, especially when modifying unsafe code or complex ownership logic.