Does it include testing and quality assurance patterns?

Yes, it enforces a strategy including doc tests, unit tests, integration tests with data fixtures, and benchmarks with a 95% coverage threshold.

Which language bindings does this skill support?

The skill provides guidance for PyO3 (Python), NAPI-RS (Node.js), Magnus (Ruby), ext-php-rs (PHP), and WASM, as well as general C-compatible FFI.

How does it handle performance and memory?

It prioritizes zero-copy data handling and streaming parsers for large data structures to ensure minimal overhead and maximum throughput.

What is the rust-core-arch skill?

It is a specialized Claude Code skill that provides architectural patterns and best practices for building Rust core libraries designed to be exported to multiple other programming languages.

Rust Core Polyglot Architecture

Name: Rust Core Polyglot Architecture
Author: kreuzberg-dev

bykreuzberg-dev

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480

API 开发

Architects high-performance Rust core libraries designed for seamless cross-language integration and efficient document processing.

关于

The rust-core-arch skill provides standardized guidance for building robust Rust core libraries that serve as a single source of truth for multi-platform applications. It focuses on clean domain logic separation, ergonomic error handling with thiserror, and high-performance data pipelines using zero-copy and streaming techniques. By implementing proven patterns for FFI bindings across Python, Node.js, Ruby, PHP, and WASM, this skill enables developers to maintain a high-quality Rust codebase that powers diverse ecosystems while maintaining strict testing and benchmarking standards.

主要功能

Zero-copy and streaming data processing architectures
Clean separation of core domain logic from language-specific wrappers
Standardized error handling patterns using thiserror
Multi-language FFI integration (Python, Node.js, Ruby, PHP, WASM)
Comprehensive testing strategy with cargo-llvm-cov and Criterion benchmarks
480 GitHub stars

使用场景

Developing performance-critical data transformation tools for WASM or FFI use
Building high-performance document processing engines with multi-language wrappers
Creating cross-platform libraries that must run in both Node.js and Python environments

关于

主要功能

Zero-copy and streaming data processing architectures
Clean separation of core domain logic from language-specific wrappers
Standardized error handling patterns using thiserror
Multi-language FFI integration (Python, Node.js, Ruby, PHP, WASM)
Comprehensive testing strategy with cargo-llvm-cov and Criterion benchmarks
480 GitHub stars

使用场景

Developing performance-critical data transformation tools for WASM or FFI use
Building high-performance document processing engines with multi-language wrappers
Creating cross-platform libraries that must run in both Node.js and Python environments