How does it optimize CI build times?

The skill provides implementation guides for various caching mechanisms, including action-specific caches for Rust, Node.js (npm/pnpm), Python (pip), and Docker layer caching.

Can I use this for a monorepo with multiple languages?

Yes, it includes patterns for domain-specific workflows that use path filtering to trigger only the relevant tests (e.g., Python tests for Python files) to save time and resources.

What is a GitHub Actions matrix strategy?

A matrix strategy allows you to automatically create multiple job runs based on combinations of variables, such as different operating systems, architectures, or programming language versions, without duplicating code.

How does this skill handle cross-compilation?

It provides specific patterns for Rust and other languages, including the use of tools like 'cross' to build and test ARM64 binaries on x86_64 Linux runners.

CI/CD Multi-Platform Matrix

Name: CI/CD Multi-Platform Matrix
Author: kreuzberg-dev

bykreuzberg-dev

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480

Deployment & DevOps

Optimizes GitHub Actions workflows using advanced matrix strategies for multi-platform, multi-architecture, and polyglot testing.

About

This skill provides production-ready patterns for building robust CI/CD pipelines with GitHub Actions. It focuses on matrix strategies that minimize code duplication while maximizing test coverage across diverse operating systems (Linux, macOS, Windows) and CPU architectures (x86_64, ARM64). By implementing standardized configurations for major languages like Rust, Python, Node.js, and Java, alongside sophisticated caching and test aggregation techniques, this skill enables developers to create high-performance, parallelized workflows that reduce feedback loops and ensure cross-platform compatibility.

Key Features

Multi-OS and CPU architecture matrix configurations
480 GitHub stars
Pre-configured language matrices for Rust, Python, Node, and more
Advanced dependency and Docker layer caching strategies
Automated test result aggregation and unified reporting
Path-based workflow segmentation for polyglot monorepos

Use Cases

Setting up a polyglot CI environment that runs isolated, optimized tests for different language stacks
Improving CI performance by implementing language-specific caching and parallelized execution
Configuring cross-platform build pipelines for systems programming projects targeting ARM and x86

About

Key Features

Multi-OS and CPU architecture matrix configurations
480 GitHub stars
Pre-configured language matrices for Rust, Python, Node, and more
Advanced dependency and Docker layer caching strategies
Automated test result aggregation and unified reporting
Path-based workflow segmentation for polyglot monorepos

Use Cases

Setting up a polyglot CI environment that runs isolated, optimized tests for different language stacks
Improving CI performance by implementing language-specific caching and parallelized execution
Configuring cross-platform build pipelines for systems programming projects targeting ARM and x86