railway-service▌
davila7/claude-code-templates · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Check status, update properties, and advanced service creation.
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 serviceenvironment.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:
- Create empty service:
serviceCreate(input: {projectId: "...", name: "my-service"}) - Use railway-environment skill to configure source via staged changes API
- 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches railway-service from GitHub repository davila7/claude-code-templates and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★35 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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