What is the ffi-pyo3-maturin skill used for?

It is a specialized skill for Claude Code that provides guidance and commands for building and testing Python bindings for Rust code using the PyO3 and maturin toolchain.

What are the core development principles suggested by this skill?

It emphasizes keeping wrappers thin, converting types near the boundary, validating inputs at the entry point, and using structured errors to avoid breaking APIs.

How do I build the Rust-Python bindings using this skill?

The skill facilitates the build process by executing maturin develop through the uv runner, ensuring the Rust manifest is correctly compiled into the Python environment.

Does this skill help with testing FFI boundaries?

Yes, it includes a standardized workflow for running smoke tests via pytest to verify that the communication between Python and Rust is functioning as expected.

Rust-Python FFI Integration

Name: Rust-Python FFI Integration
Author: JoernStoehler

byJoernStoehler

Developer Tools

Manages Rust and Python interoperability using PyO3 and maturin to build, test, and validate high-performance cross-language bindings.

About

This skill streamlines the development of Python bindings for Rust codebases by providing a structured workflow for building, testing, and maintaining FFI boundaries. It simplifies the use of maturin for development builds and orchestrates smoke tests via pytest to ensure stability. By enforcing best practices—such as thin wrapper patterns, boundary-level input validation, and structured error handling—this skill helps developers maintain a clean and performant bridge between Rust's system-level safety and Python's high-level flexibility.

Key Features

Standardized smoke testing workflow using uv and pytest
Seamless synchronization between Rust logic and Python-facing APIs
0 GitHub stars
FFI contract enforcement for thin wrappers and boundary validation
Automated maturin development builds targeting Rust manifests
Structured error handling patterns across language boundaries

Use Cases

Optimizing Python performance by migrating critical bottlenecks to Rust
Developing Python libraries that wrap existing high-performance Rust crates
Implementing type-safe, cross-language validation for complex data processing

About

Key Features

Standardized smoke testing workflow using uv and pytest
Seamless synchronization between Rust logic and Python-facing APIs
0 GitHub stars
FFI contract enforcement for thin wrappers and boundary validation
Automated maturin development builds targeting Rust manifests
Structured error handling patterns across language boundaries

Use Cases

Optimizing Python performance by migrating critical bottlenecks to Rust
Developing Python libraries that wrap existing high-performance Rust crates
Implementing type-safe, cross-language validation for complex data processing