railway-service

davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill railway-service
0 commentsdiscussion
summary

Check status, update properties, and advanced service creation.

skill.md

Railway Service Management

Check status, update properties, and advanced service creation.

When to Use

  • User asks about service status, health, or deployments
  • User asks "is my service deployed?"
  • User wants to rename a service or change service icon
  • User wants to link a different service
  • User wants to deploy a Docker image as a new service (advanced)

Note: For creating services with local code (the common case), prefer the railway-new skill which handles project setup, scaffolding, and service creation together.

For GitHub repo sources: Use railway-new skill to create empty service, then railway-environment skill to configure source.repo via staged changes API.

Create Service

Create a new service via GraphQL API. There is no CLI command for this.

Get Context

railway status --json

Extract:

  • project.id - for creating the service
  • environment.id - for staging the instance config

Create Service Mutation

mutation serviceCreate($input: ServiceCreateInput!) {
  serviceCreate(input: $input) {
    id
    name
  }
}

ServiceCreateInput Fields

Field Type Description
projectId String! Project ID (required)
name String Service name (auto-generated if omitted)
source.image String Docker image (e.g., nginx:latest)
source.repo String GitHub repo (e.g., user/repo)
branch String Git branch for repo source
environmentId String If set and is a fork, only creates in that env

Example: Create empty service

bash <<'SCRIPT'
${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
  'mutation createService($input: ServiceCreateInput!) {
    serviceCreate(input: $input) { id name }
  }' \
  '{"input": {"projectId": "PROJECT_ID"}}'
SCRIPT

Example: Create service with image

bash <<'SCRIPT'
${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
  'mutation createService($input: ServiceCreateInput!) {
    serviceCreate(input: $input) { id name }
  }' \
  '{"input": {"projectId": "PROJECT_ID", "name": "my-service", "source": {"image": "nginx:latest"}}}'
SCRIPT

Connecting a GitHub Repo

Do NOT use serviceCreate with source.repo - use staged changes API instead.

Flow:

  1. Create empty service: serviceCreate(input: {projectId: "...", name: "my-service"})
  2. Use railway-environment skill to configure source via staged changes API
  3. Apply to trigger deployment

After Creating: Configure Instance

Use railway-environment skill to configure the service instance:

{
  "services": {
    "<serviceId>": {
      "isCreated": true,
      "source": { "image": "nginx:latest" },
      "variables": {
        "PORT": { "value": "8080" }
      }
    }
  }
}

Critical: Always include isCreated: true for new service instances.

Then use railway-environment skill to apply and deploy.

Check Service Status

railway service status --json

Returns current deployment status for the linked service.

Deployment History

railway deployment list --json --limit 5

Present Status

Show:

  • Service: name and current status
  • Latest Deployment: status (SUCCESS, FAILED, DEPLOYING, CRASHED, etc.)
  • Deployed At: when the current deployment went live
  • Recent Deployments: last 3-5 with status and timestamps

Deployment Statuses

Status Meaning
SUCCESS Deployed and running
FAILED Build or deploy failed
DEPLOYING Currently deploying
BUILDING Build in progress
CRASHED Runtime crash
REMOVED Deployment removed

Update Service

Update service name or icon via GraphQL API.

Get Service ID

railway status --json

Extract service.id from the response.

Update Name

bash <<'SCRIPT'
${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
  'mutation updateService($id: String!, $input: ServiceUpdateInput!) {
    serviceUpdate(id: $id, input: $input) { id name }
  }' \
  '{"id": "SERVICE_ID", "input": {"name": "new-name"}}'
SCRIPT

Update Icon

Icons can be image URLs or animated GIFs.

Type Example
Image URL "icon": "https://example.com/logo.png"
Animated GIF "icon": "https://example.com/animated.gif"
Devicons "icon": "https://devicons.railway.app/github"

Railway Devicons: Query https://devicons.railway.app/{query} for common developer icons (e.g., github, postgres, redis, nodejs). Browse all at https://devicons.railway.app

bash <<'SCRIPT'
${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
  'mutation updateService($id: String!, $input: ServiceUpdateInput!) {
    serviceUpdate(id: $id, input: $input) { id icon }
  }' \
  '{"id": "SERVICE_ID", "input": {"icon": "https://devicons.railway.app/github"}}'
SCRIPT

ServiceUpdateInput Fields

Field Type Description
name String Service name
icon String Emoji or image URL (including animated GIFs)

Link Service

Switch the linked service for the current directory:

railway service link

Or specify directly:

railway service link <service-name>

Composability

  • Create service with local code: Use railway-new skill (handles scaffolding + creation)
  • Configure service: Use railway-environment skill (variables, commands, image, etc.)
  • Delete service: Use railway-environment skill with isDeleted: true
  • Apply changes: Use railway-environment skill
  • View logs: Use railway-deployment skill
  • Deploy local code: Use railway-deploy skill

Error Handling

No Service Linked

No service linked. Run `railway service link` to link a service.

No Deployments

Service exists but has no deployments yet. Deploy with `railway up`.

Service Not Found

Service "foo" not found. Check available services with `railway status`.

Project Not Found

User may not be in a linked project. Check railway status.

Permission Denied

User needs at least DEVELOPER role to create services.

Invalid Image

Docker image must be accessible (public or with registry credentials).

how to use railway-service

How to use railway-service on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add railway-service
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill railway-service

The skills CLI fetches railway-service from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/railway-service

Reload or restart Cursor to activate railway-service. Access the skill through slash commands (e.g., /railway-service) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.735 reviews
  • Lucas Rahman· Dec 28, 2024

    We added railway-service from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Dec 16, 2024

    Keeps context tight: railway-service is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Soo Wang· Dec 12, 2024

    Registry listing for railway-service matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Xiao Nasser· Dec 4, 2024

    Keeps context tight: railway-service is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kwame Khanna· Nov 23, 2024

    railway-service has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yash Thakker· Nov 15, 2024

    I recommend railway-service for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakshi Patil· Nov 7, 2024

    railway-service has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hana Jain· Nov 7, 2024

    Useful defaults in railway-service — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Farah· Nov 3, 2024

    railway-service fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chaitanya Patil· Oct 26, 2024

    Solid pick for teams standardizing on skills: railway-service is focused, and the summary matches what you get after install.

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