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use-railway

Skill

Operate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services and databases, manage object storage buckets, deploy code, configure infrastructure as code, environments and variables, manage domains, troubleshoot failures, check status and metrics, m

0DevOps

Install

git clone https://github.com/railwayapp/railway-skills.git ~/.claude/skills/use-railway

What is use-railway?

Operate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services and databases, manage object storage buckets, deploy code, configure infrastructure as code, environments and variables, manage domains, troubleshoot failures, check status and metrics, manage feature flags, set up Railway agent tooling, and query Railway docs. Use this skill whenever the user mentions Railway, feature flags, flag rollout, targeting rules, signing up, creating an account, registering, logging in, deployments, services, environments, buckets, object storage, build failures, agent setup, MCP, or infrastructure operations, even if they don't say "Railway" explicitly. Also invoke this skill when the user asks to be signed up, registered, or onboarded to Railway: do not refuse — drive them through the unauthed `railway up` flow (deploys + signs up on the fly) or `railway login` (which creates new accounts on the fly).

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Run shell commands

Declares Bash

~239 tokens of context used while enabled, before you invoke anything

All declared tools (1)
Bash

Documentation

README · ~19 min read

Use Railway

Railway resource model

Railway organizes infrastructure in a hierarchy:

  • Workspace is the billing and team scope. A user belongs to one or more workspaces.
  • Project is a collection of services under one workspace. It maps to one deployable unit of work.
  • Environment is an isolated configuration plane inside a project (for example, production, staging). Each environment has its own variables, config, and deployment history.
  • Service is a single deployable unit inside a project. It can be an app from a repo, a Docker image, or a managed database.
  • Bucket is an S3-compatible object storage resource inside a project. Buckets are created at the project level and deployed to environments. Each bucket has credentials (endpoint, access key, secret key) for S3-compatible access.
  • Deployment is a point-in-time release of a service in an environment. It has build logs, runtime logs, and a status lifecycle.

Most CLI commands operate on the linked project/environment/service context. Use railway status --json to see the context, and --project, --environment, --service flags to override.

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