Does this skill support both Docker and Railpack?

Yes, it provides implementation patterns for custom Dockerfile builds as well as zero-config Railpack builds for standard runtimes like Node.js, Python, and Go.

What is the moai-platform-railway skill?

It is a specialized capability for Claude Code that provides domain-specific guidance for deploying, managing, and scaling containerized applications on the Railway platform.

Can I manage multi-service architectures with this skill?

Absolutely. It includes best practices for monorepos, service variable references, and setting up private networking for secure service-to-service communication.

How does it handle persistent storage?

The skill provides specific configurations for persistent volumes, enabling you to run stateful workloads like databases or file storage systems directly on Railway.

Does it include CI/CD automation?

Yes, it includes pre-built GitHub Actions workflows and Railway CLI command patterns to automate your deployment pipeline.

Railway Container Deployment

Name: Railway Container Deployment
Author: modu-ai

bymodu-ai

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Deployment & DevOps

Deploys and scales containerized applications on Railway using optimized Docker configurations and multi-service patterns.

About

The Railway Container Deployment skill empowers Claude to act as a specialist in cloud infrastructure, specifically for the Railway platform. It provides deep expertise in containerization strategies, including multi-stage Docker builds and the latest Railpack standards, while managing complex multi-service architectures. By implementing this skill, developers can automate the setup of private networking, persistent volumes, and auto-scaling rules, ensuring that full-stack applications are production-ready, secure, and globally available with minimal manual configuration.

Key Features

16 GitHub stars
Auto-scaling and multi-region deployment strategies
Multi-service architecture with private networking
CI/CD integration via Railway CLI and GitHub Actions
Persistent volume management for stateful workloads
Optimized Docker and Railpack build configuration

Use Cases

Deploying containerized full-stack apps with custom system dependencies
Configuring stateful applications requiring persistent storage volumes
Setting up microservices with secure inter-service communication

About

Key Features

16 GitHub stars
Auto-scaling and multi-region deployment strategies
Multi-service architecture with private networking
CI/CD integration via Railway CLI and GitHub Actions
Persistent volume management for stateful workloads
Optimized Docker and Railpack build configuration

Use Cases

Deploying containerized full-stack apps with custom system dependencies
Configuring stateful applications requiring persistent storage volumes
Setting up microservices with secure inter-service communication