What is the moai-platform-railway skill?

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

Can I use this skill to configure persistent storage?

Absolutely. It provides implementation guides for mounting persistent volumes and managing stateful workloads like SQLite or custom file storage systems.

How does it handle different build types?

The skill helps you choose between custom Docker builds for complex dependencies and zero-config Railpack builds for standard runtimes like Node.js, Python, and Go.

Does this skill support multi-service architectures?

Yes, it includes patterns for monorepo deployments, service variable references, and private networking for secure communication between services.

Railway Container Deployment Specialist

Name: Railway Container Deployment Specialist
Author: zellycloud

byzellycloud

Deployment & DevOps

Simplifies deploying and managing containerized applications, multi-service architectures, and persistent storage on the Railway platform.

About

The moai-platform-railway skill empowers Claude to act as a specialized DevOps engineer for the Railway ecosystem, providing expert guidance on container-first deployment strategies. It covers the full lifecycle of application hosting, from optimizing multi-stage Dockerfiles and Railpack builds to orchestrating complex multi-service meshes with private networking and auto-scaling. Whether you are migrating a legacy monolith or building a modern, stateful microservices architecture with persistent volumes, this skill ensures your infrastructure is configured for high availability and performance using industry best practices.

Key Features

Automated infrastructure management via railway.toml configuration
Multi-region deployment and auto-scaling policy implementation
Multi-service orchestration with secure private networking
Persistent volume configuration for stateful container workloads
Optimized Docker and Railpack build strategies for various runtimes
0 GitHub stars

Use Cases

Deploying full-stack containerized applications with managed databases
Configuring secure inter-service communication in a microservices architecture
Setting up stateful applications requiring persistent storage and volume mounts

About

Key Features

Automated infrastructure management via railway.toml configuration
Multi-region deployment and auto-scaling policy implementation
Multi-service orchestration with secure private networking
Persistent volume configuration for stateful container workloads
Optimized Docker and Railpack build strategies for various runtimes
0 GitHub stars

Use Cases

Deploying full-stack containerized applications with managed databases
Configuring secure inter-service communication in a microservices architecture
Setting up stateful applications requiring persistent storage and volume mounts