environment

railwayapp/railway-skills · updated Apr 8, 2026

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

Read and edit Railway environment configuration, variables, build settings, and service deployment parameters.

  • Fetch current environment config including source, build/deploy settings, variables, and networking via railway environment config --json
  • Create new environments, duplicate existing ones with optional service-specific variable overrides, or switch between environments
  • Edit configuration atomically using JSON patches: set build/start commands, add/update/delete variables, cha
skill.md

Environment Configuration

Read and edit Railway environment configuration using the CLI.

Prerequisites

Requires Railway CLI v4.27.3+. Check with:

railway --version

If below 4.27.3, upgrade:

railway upgrade

Quick Actions

When user asks "what's the config" or "show configuration":

railway environment config --json

Present: source (repo/image), build settings, deploy settings, variables per service.

When user asks "what variables" or "show env vars":

Same command — railway environment config --json includes variables per service and shared variables.

For rendered (resolved) variable values: railway variables --json

When to Use

  • User wants to create a new environment
  • User wants to duplicate an environment (e.g., "copy production to staging")
  • User wants to switch to a different environment
  • User asks about current build/deploy settings, variables, replicas, health checks, domains
  • User asks to change service source (Docker image, branch, commit, root directory)
  • User wants to connect a service to a GitHub repo
  • User wants to deploy from a GitHub repo (create empty service first via new skill, then use this)
  • User asks to change build or start command
  • User wants to add/update/delete environment variables
  • User wants to change replica count or configure health checks
  • User asks to delete a service, volume, or bucket
  • Auto-fixing build errors detected in logs

Create Environment

Create a new environment in the linked project:

railway environment new <name>

Duplicate an existing environment:

railway environment new staging --duplicate production

With service-specific variables:

railway environment new staging --duplicate production --service-variable api PORT=3001

Switch Environment

Link a different environment to the current directory:

railway environment <name>

Or by ID:

railway environment <environment-id>

Get Context

JSON output — project/environment IDs and service list:

railway status --json

Extract:

  • project.id — project ID
  • environment.id — environment ID

Plain output — linked service name:

railway status

Shows Service: <name> line with the currently linked service.

Resolve Service ID

Get service IDs from the environment config:

railway environment config --json | jq '.services | keys'

Map service IDs to names via status:

railway status --json

The project.services array contains { id, name } for each service. Match against the service keys from environment config.

Read Configuration

Fetch current environment configuration:

railway environment config --json

Response Structure

{
  "services": {
    "<serviceId>": {
      "source": { "repo": "...", "branch": "main" },
      "build": { "buildCommand": "npm run build", "builder": "NIXPACKS" },
      "deploy": {
        "startCommand": "npm start",
        "multiRegionConfig": { "us-west2": { "numReplicas": 1 } }
      },
      "variables": { "NODE_ENV": { "value": "production" } },
      "networking": { "serviceDomains": {}, "customDomains": {} }
    }
  },
  "sharedVariables": { "DATABASE_URL": { "value": "..." } }
}

For complete field reference, see reference/environment-config.md.

For variable syntax and service wiring patterns, see reference/variables.md.

Get Rendered Variables

environment config returns unrendered variables — template syntax like ${{shared.DOMAIN}} is preserved. This is correct for management/editing.

To see rendered (resolved) values as they appear at runtime:

# Current linked service
railway variables --json

# Specific service
railway variables --service <service-name> --json

When to use:

  • Debugging connection issues (see actual URLs/ports)
  • Verifying variable resolution is correct
  • Viewing Railway-injected values (RAILWAY_*)

Edit Configuration

Pass a JSON patch to railway environment edit to apply changes. The patch is merged with existing config and committed immediately, triggering deploys.

railway environment edit --json <<< '<json-patch>'

With a commit message:

railway environment edit -m "description of change" --json <<< '<json-patch>'

Examples

Set build command:

railway environment edit --json <<< '{"services":{"SERVICE_ID":{"build":{"buildCommand":"npm run build"}}}}'

Add variable:

railway environment edit -m "add API_KEY" --json <<< '{"services":{"SERVICE_ID":{"variables":{"API_KEY":{"value":"secret"}}}}}'

Delete variable:

railway environment edit --json <<< '{"services":{"SERVICE_ID":{"variables":{"OLD_VAR":null}}}}'

Delete service:

railway environment edit --json <<< '{"services":{"SERVICE_ID":{"isDeleted":true}}}'

Set replicas:

railway environment edit --json <<< '{"services":{"SERVICE_ID":{"deploy":{"multiRegionConfig":{"us-west2":{"numReplicas":3}}}}}}'

Add shared variable:

railway environment edit --json <<< '{"sharedVariables":{"DATABASE_URL":{"value":"postgres://..."}}}'

Batching Multiple Changes

Include multiple fields in a single patch to apply them atomically:

railway environment edit -m "configure build, start, and env" --json <<< '{"services":{"SERVICE_ID":{"build":{"buildCommand":"npm run build"},"deploy":{"startCommand":"npm start"},"variables":{"NODE_ENV":{"value":"production"}}}}}'

Error Handling

Command Not Found

If railway environment edit is not recognized, upgrade the CLI:

railway upgrade

Service Not Found

Service "foo" not found in project. Available services: api, web, worker

Invalid Configuration

Common issues:

  • buildCommand and startCommand cannot be identical
  • buildCommand only valid with NIXPACKS builder
  • dockerfilePath only valid with DOCKERFILE builder

No Permission

You don't have permission to modify this environment. Check your Railway role.

No Linked Project

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

Composability

  • Create service: Use service skill
  • View logs: Use deployment skill
  • Add domains: Use domain skill
  • Deploy local code: Use deploy skill
how to use environment

How to use environment 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 environment
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 environment

The skills CLI fetches environment 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/environment

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

4.647 reviews
  • Zara Okafor· Dec 20, 2024

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

  • Arjun Patel· Dec 16, 2024

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

  • Tariq Park· Dec 4, 2024

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

  • Rahul Santra· Nov 15, 2024

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

  • Tariq Tandon· Nov 11, 2024

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

  • Pratham Ware· Oct 6, 2024

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

  • Zara Wang· Oct 2, 2024

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

  • Evelyn Desai· Sep 21, 2024

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

  • Evelyn Chawla· Sep 13, 2024

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

  • Yash Thakker· Sep 9, 2024

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

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