How do I manage memory in Rust-based Workers?

The skill suggests using typed arrays for data transfer, enabling LTO (Link Time Optimization), and minimizing JS/WASM boundary crossings to keep memory usage low.

When should I use Rust instead of JavaScript for a Cloudflare Worker?

Use Rust/WASM when you have CPU-intensive tasks like cryptography, complex mathematical computations, or heavy image processing where maximum performance and lower memory overhead are required.

Can I mix TypeScript and Rust in the same project?

Absolutely. The skill provides integration patterns for loading WASM modules built in Rust into a standard TypeScript Worker environment.

Does this skill support Python on Cloudflare Workers?

Yes, it includes patterns for Python Workers (supported via Workers for Platforms), including pyproject.toml configuration and optimization for startup times.

How do I fix WASM instantiation errors in my Worker?

This skill provides a detailed troubleshooting guide for errors like 'WebAssembly.instantiate() failed' and recommends using streaming instantiation and caching the instance to improve reliability.

Cloudflare Workers Multi-Language

Name: Cloudflare Workers Multi-Language
Author: secondsky

bysecondsky

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Infraestructura en la Nube

Develops high-performance Cloudflare Workers using Rust, Python, and WebAssembly for computation-heavy and data-intensive edge applications.

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This skill equips Claude with specialized knowledge for building Cloudflare Workers in languages beyond JavaScript and TypeScript. It provides comprehensive patterns for Rust (compiled to WASM) and Python, offering guidance on choosing the right language based on performance, memory, and startup requirements. Developers can leverage this skill to implement CPU-intensive tasks like image processing or cryptography in Rust, execute data science logic in Python, or integrate pre-built WebAssembly modules into existing projects while following edge-computing best practices.

Características Principales

Comprehensive project scaffolding for Rust/WASM and Python workers
Comparative analysis of language-specific runtime characteristics and performance
Detailed troubleshooting for multi-language errors like WASM instantiation failures
Optimized patterns for JS-to-WASM data transfer and memory management
Best practices for minimizing cold starts and bundle sizes in non-JS runtimes
21 GitHub stars

Casos de Uso

Implementing machine learning inference or data processing pipelines with Python at the edge
Integrating existing C++/Rust libraries into serverless workflows via WebAssembly
Building CPU-intensive cryptographic or image processing services using Rust

Acerca de

Características Principales

Comprehensive project scaffolding for Rust/WASM and Python workers
Comparative analysis of language-specific runtime characteristics and performance
Detailed troubleshooting for multi-language errors like WASM instantiation failures
Optimized patterns for JS-to-WASM data transfer and memory management
Best practices for minimizing cold starts and bundle sizes in non-JS runtimes
21 GitHub stars

Casos de Uso

Implementing machine learning inference or data processing pipelines with Python at the edge
Integrating existing C++/Rust libraries into serverless workflows via WebAssembly
Building CPU-intensive cryptographic or image processing services using Rust