templates

railwayapp/railway-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/railwayapp/railway-skills --skill templates
0 commentsdiscussion
summary

Search and deploy pre-configured services from Railway's template marketplace.

  • Supports 20+ templates across databases (PostgreSQL, Redis, MySQL, MongoDB), CMS platforms (Ghost, Strapi), storage (Minio), automation (n8n), and monitoring (Uptime Kuma)
  • Query templates by category or verification status; fetch template details including serialized configuration needed for deployment
  • Deploy templates to a project and environment in two steps: fetch template metadata, then execute deploym
skill.md

Templates

Search and deploy services from Railway's template marketplace.

When to Use

  • User asks to "add Postgres", "add Redis", "add a database"
  • User asks to "add Ghost", "add Strapi", "add n8n", or any other service
  • User wants to find templates for a use case (e.g., "CMS", "storage", "monitoring")
  • User asks "what templates are available?"
  • User wants to deploy a pre-configured service

Common Template Codes

Category Template Code
Databases PostgreSQL postgres
Redis redis
MySQL mysql
MongoDB mongodb
CMS Ghost ghost
Strapi strapi
Storage Minio minio
Automation n8n n8n
Monitoring Uptime Kuma uptime-kuma

For other templates, use the search query below.

Prerequisites

Get project context:

railway status --json

Extract:

  • id - project ID
  • environments.edges[0].node.id - environment ID

Get workspace ID:

bash <<'SCRIPT'
scripts/railway-api.sh \
  'query getWorkspace($projectId: String!) {
    project(id: $projectId) { workspaceId }
  }' \
  '{"projectId": "PROJECT_ID"}'
SCRIPT

Search Templates

List available templates with optional filters:

bash <<'SCRIPT'
scripts/railway-api.sh \
  'query templates($first: Int, $verified: Boolean) {
    templates(first: $first, verified: $verified) {
      edges {
        node {
          name
          code
          description
          category
        }
      }
    }
  }' \
  '{"first": 20, "verified": true}'
SCRIPT

Arguments

Argument Type Description
first Int Number of results (max ~100)
verified Boolean Only verified templates
recommended Boolean Only recommended templates

Rate Limit

10 requests per minute. Don't spam searches.

Get Template Details

Fetch a specific template by code:

bash <<'SCRIPT'
scripts/railway-api.sh \
  'query template($code: String!) {
    template(code: $code) {
      id
      name
      description
      serializedConfig
    }
  }' \
  '{"code": "postgres"}'
SCRIPT

Returns:

  • id - template ID (needed for deployment)
  • serializedConfig - service configuration (needed for deployment)

Deploy Template

Step 1: Fetch Template

bash <<'SCRIPT'
scripts/railway-api.sh \
  'query template($code: String!) {
    template(code: $code) {
      id
      serializedConfig
    }
  }' \
  '{"code": "postgres"}'
SCRIPT

Step 2: Deploy to Project

bash <<'SCRIPT'
scripts/railway-api.sh \
  'mutation deployTemplate($input: TemplateDeployV2Input!) {
    templateDeployV2(input: $input) {
      projectId
      workflowId
    }
  }' \
  '{
    "input": {
      "templateId": "TEMPLATE_ID_FROM_STEP_1",
      "serializedConfig": SERIALIZED_CONFIG_FROM_STEP_1,
      "projectId": "PROJECT_ID",
      "environmentId": "ENVIRONMENT_ID",
      "workspaceId": "WORKSPACE_ID"
    }
  }'
SCRIPT

Important: serializedConfig is the exact JSON object from the template query, not a string.

Connecting Services

After deploying a template, connect other services using reference variables.

For complete variable syntax and wiring patterns, see variables.md.

Pattern

${{ServiceName.VARIABLE_NAME}}

Common Database Variables

Service Connection Variable
PostgreSQL (Postgres) ${{Postgres.DATABASE_URL}}
Redis ${{Redis.REDIS_URL}}
MySQL ${{MySQL.MYSQL_URL}}
MongoDB ${{MongoDB.MONGO_URL}}

Backend vs Frontend

Backend services can use private URLs (internal network):

${{Postgres.DATABASE_URL}}

Frontend applications run in the browser and cannot access Railway's private network. Options:

  1. Use public URL variables (e.g., ${{MongoDB.MONGO_PUBLIC_URL}})
  2. Better: Route through a backend API

Example: Add PostgreSQL

bash <<'SCRIPT'
# 1. Get context
railway status --json
# → project.id = "proj-123", environment.id = "env-456"

# 2. Get workspace ID
scripts/railway-api.sh \
  'query { project(id: "proj-123") { workspaceId } }' '{}'
# → workspaceId = "ws-789"

# 3. Fetch Postgres template
scripts/railway-api.sh \
  'query { template(code: "postgres") { id serializedConfig } }' '{}'
# → id = "template-abc", serializedConfig = {...}

# 4. Deploy
scripts/railway-api.sh \
  'mutation deploy($input: TemplateDeployV2Input!) {
    templateDeployV2(input: $input) { projectId workflowId }
  }' \
  '{"input": {
    "templateId": "template-abc",
    "serializedConfig": {...},
    "projectId": "proj-123",
    "environmentId": "env-456",
    "workspaceId": "ws-789"
  }}'
SCRIPT

Example: Search for CMS Templates

bash <<'SCRIPT'
# Search verified templates
scripts/railway-api.sh \
  'query {
    templates(first: 50, verified: true) {
      edges {
        node { name code description category }
      }
    }
  }' '{}'
# Filter results for "CMS" category or search descriptions
SCRIPT

What Gets Created

Templates typically create:

  • Service with pre-configured image/source
  • Environment variables (connection strings, secrets)
  • Volume for persistent data (databases)
  • TCP proxy for external access (where needed)

Response

Successful deployment returns:

{
  "data": {
    "templateDeployV2": {
      "projectId": "proj-123",
      "workflowId": "deployTemplate/project/proj-123/xxx"
    }
  }
}

Error Handling

Error Cause Solution
Template not found Invalid code Search templates or check spelling
Rate limit exceeded Too many searches Wait 1 minute, then retry
Permission denied User lacks access Need DEVELOPER role or higher
Project not found Invalid project ID Run railway status --json

Composability

  • Connect services: Use environment skill to add variable references
  • View deployed service: Use service skill
  • Check logs: Use deployment skill
  • Add domains: Use domain skill
how to use templates

How to use templates 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 templates
2

Execute installation command

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

$npx skills add https://github.com/railwayapp/railway-skills --skill templates

The skills CLI fetches templates from GitHub repository railwayapp/railway-skills 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/templates

Reload or restart Cursor to activate templates. Access the skill through slash commands (e.g., /templates) 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

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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

Ratings

4.667 reviews
  • Amelia Khanna· Dec 24, 2024

    templates reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Advait Diallo· Dec 24, 2024

    templates is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sofia Thompson· Dec 16, 2024

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

  • Henry Jackson· Dec 12, 2024

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

  • Ava Sanchez· Dec 8, 2024

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

  • Henry Anderson· Dec 8, 2024

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

  • Sofia Kapoor· Nov 27, 2024

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

  • Kabir Li· Nov 27, 2024

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

  • Alexander Brown· Nov 15, 2024

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

  • Luis Gill· Nov 7, 2024

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

showing 1-10 of 67

1 / 7