How does this skill help with crate selection?

It evaluates crates based on maintenance status, API stability, and community feedback to ensure you pick production-ready libraries instead of abandoned ones.

Does it support WebAssembly (WASM)?

Absolutely, it includes guidance for wasm-bindgen and browser-based Rust development, helping you choose the right tools for the web.

Can it help with Rust and Python integration?

Yes, it provides specific implementation patterns for using PyO3 to create high-performance Python extensions or calling Python from Rust.

How does it handle Cargo.toml errors?

It identifies common issues like missing dependencies (E0433), private item access (E0603), or feature flag mismatches and provides direct fix suggestions.

Rust Ecosystem & Dependency Manager

Name: Rust Ecosystem & Dependency Manager
Author: lywa1998

bylywa1998

Herramientas para Desarrolladores

Optimizes Rust project architecture by providing expert guidance on crate selection, dependency management, and cross-language integration.

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The m11-ecosystem skill empowers Claude to act as a senior Rust architect, guiding users through the complex landscape of crates.io and Cargo configuration. It provides actionable advice on selecting well-maintained libraries for common tasks like async runtimes, web servers, and serialization. Beyond simple recommendations, it assists with advanced ecosystem integration including FFI (C/C++), Python extensions via PyO3, WebAssembly via wasm-bindgen, and the efficient use of Cargo feature flags to minimize binary bloat and compile times.

Características Principales

0 GitHub stars
Expert crate recommendations based on maintenance status, stability, and community standards
Troubleshooting common ecosystem errors like E0433, E0603, and version conflicts
Optimization of Cargo.toml through feature flags and workspace management
Guidance on cross-language interop (FFI) for Python, Node.js, and C/C++
Standardized implementation patterns for common Rust stacks including Web, CLI, and Databases

Casos de Uso

Selecting the most stable and performant HTTP framework or database driver for a new service
Resolving complex dependency trees and private item access errors in large Cargo workspaces
Bridging Rust code with existing Python or JavaScript ecosystems using PyO3 or napi-rs

Acerca de

Características Principales

0 GitHub stars
Expert crate recommendations based on maintenance status, stability, and community standards
Troubleshooting common ecosystem errors like E0433, E0603, and version conflicts
Optimization of Cargo.toml through feature flags and workspace management
Guidance on cross-language interop (FFI) for Python, Node.js, and C/C++
Standardized implementation patterns for common Rust stacks including Web, CLI, and Databases

Casos de Uso

Selecting the most stable and performant HTTP framework or database driver for a new service
Resolving complex dependency trees and private item access errors in large Cargo workspaces
Bridging Rust code with existing Python or JavaScript ecosystems using PyO3 or napi-rs