Use Beautiful Rust skill specs for AI-driven Rust coding and reviews
Install Agent Skills—including best practices, code review, and porting skills—along with clippy configurations to guide coding agents in writing idiomatic, robust, and maintainable Rust code, while enabling code reviews and cross-language porting to Rust.
GitHubmorganlinton1.6kGitHub stars
Claude CodeOpenAI CodexGitHub CopilotCursorGemini CLIclippercargo
Added 2026-10-31 · originally published 2026-10-30
Steps
- 1Prepare a tool that supports the Agent Skills format, such as Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or Gemini CLI.
- 2Choose an installation method, such as running the command: npx skills add morganlinton/BeautifulRust, or copying the skill folder from the repository into your agent's skills directory (e.g., ~/.agents/skills/).
- 3Configure the clippy configuration file in the lints/ directory to enforce machine-checkable rules in CI.
- 4When writing or modifying Rust code, the rust-best-practices skill will automatically load to guide coding standards; you can also directly ask the agent to review code (e.g., by entering: review src/parser.rs).
- 5To port code, use the rust-port skill, first porting the original test cases to prove behavioral consistency, and then porting C, C++, Python, Go, or JavaScript to idiomatic Rust.
Copy-ready prompt
Please reference Rust best practices and standards to help me write or review the following Rust code [enter your code file, crate, or requirement description here], ensuring the code is idiomatic Rust, keeps fields private, correctly documents error patterns (# Errors), and avoids using unwrap() in documentation examples.
#Rust#AI Agent#Code Quality#Developer Tools
Related use cases
Summarized by AI from the original source - refer to the original post for details. Copyright belongs to the original author.