railway-templates

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

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

Search and deploy services from Railway's template marketplace.

skill.md

Railway 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'
${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
  'query getWorkspace($projectId: String!) {
    project(id: $projectId) { workspaceId }
  }' \
  '{"projectId": "PROJECT_ID"}'
SCRIPT

Search Templates

List available templates with optional filters:

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

Step 2: Deploy to Project

bash <<'SCRIPT'
${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
  'mutation deployTemplate($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.

Composability

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

How to use railway-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 railway-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/davila7/claude-code-templates --skill railway-templates

The skills CLI fetches railway-templates 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-templates

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

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

4.770 reviews
  • Aisha Tandon· Dec 28, 2024

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

  • Evelyn Park· Dec 12, 2024

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

  • Yuki Farah· Dec 8, 2024

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

  • Amina Srinivasan· Dec 8, 2024

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

  • Layla Flores· Nov 27, 2024

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

  • Aisha Ndlovu· Nov 19, 2024

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

  • Yash Thakker· Nov 11, 2024

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

  • Hassan Srinivasan· Nov 3, 2024

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

  • Yuki Chen· Oct 22, 2024

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

  • Aisha Li· Oct 18, 2024

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

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