How are services connected to the database?

The skill uses Railway's reference variable syntax (e.g., ${{Postgres.DATABASE_URL}}) to inject connection strings into your application's environment variables.

Does it support persistent data storage?

Yes, it uses official Railway database templates which include pre-configured volumes to ensure your data persists across deployments and restarts.

Can I connect my frontend directly to these databases?

While it can provide public URLs, the skill recommends the industry-standard pattern of connecting databases to backend APIs via private internal networks for better security.

Which databases can I deploy with this skill?

This skill supports official Railway templates for PostgreSQL, Redis, MySQL, and MongoDB.

Will this skill create duplicate databases?

No, the skill's decision flow includes a mandatory check for existing services before initiating a new deployment to avoid redundancy.

Railway Database Management

Name: Railway Database Management
Author: railwayapp

byrailwayapp

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Database Management

Deploys and configures official Railway database services including PostgreSQL, Redis, MySQL, and MongoDB with automated environment wiring.

About

This skill enables Claude to manage the complete lifecycle of database services within a Railway project. It automates checking for existing instances to prevent duplication, fetching official templates, and deploying them with pre-configured volumes and networking. Beyond provisioning, the skill handles the complex task of 'wiring up' databases to application services by generating and applying the correct internal environment variable references, ensuring secure and seamless communication between your backend and data layer.

Key Features

35 GitHub stars
Persistent storage configuration via pre-configured Railway volumes.
Automated deployment of official PostgreSQL, Redis, MySQL, and MongoDB templates.
Intelligence to check for existing database instances before creating new ones.
Automatic connection string wiring using Railway's reference variable syntax.
Support for internal networking to ensure secure server-to-database communication.

Use Cases

Adding a Redis instance to an existing project for caching and session management.
Provisioning a new PostgreSQL database and automatically connecting it to a backend service.
Setting up a MongoDB service with persistent volumes for a containerized application.

About

Key Features

35 GitHub stars
Persistent storage configuration via pre-configured Railway volumes.
Automated deployment of official PostgreSQL, Redis, MySQL, and MongoDB templates.
Intelligence to check for existing database instances before creating new ones.
Automatic connection string wiring using Railway's reference variable syntax.
Support for internal networking to ensure secure server-to-database communication.

Use Cases

Adding a Redis instance to an existing project for caching and session management.
Provisioning a new PostgreSQL database and automatically connecting it to a backend service.
Setting up a MongoDB service with persistent volumes for a containerized application.