database▌
railwayapp/railway-skills · updated Apr 8, 2026
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Deploy PostgreSQL, Redis, MySQL, or MongoDB with pre-configured volumes, networking, and connection variables.
- ›Supports four official database templates: PostgreSQL, Redis, MySQL, and MongoDB, each with persistent volumes and automatic connection variable setup
- ›Always checks for existing databases before creating to avoid duplicates; queries environment config via GraphQL to detect running instances
- ›Provides reference variables for connecting other services (e.g., ${{Postgres.DATABAS
Database
Add official Railway database services. These are maintained templates with pre-configured volumes, networking, and connection variables.
For non-database templates, see the templates skill.
When to Use
- User asks to "add a database", "add Postgres", "add Redis", etc.
- User needs a database for their application
- User asks about connecting to a database
- User says "add postgres and connect to my server"
- User says "wire up the database"
Decision Flow
ALWAYS check for existing databases FIRST before creating.
User mentions database
│
Check existing DBs first
(query env config for source.image)
│
┌────┴────┐
Exists Doesn't exist
│ │
│ Create database
│ (CLI or API)
│ │
│ Wait for deployment
│ │
└─────┬─────┘
│
User wants to
connect service?
│
┌─────┴─────┐
Yes No
│ │
Wire vars Done +
via env suggest wiring
skill
Check for Existing Databases
Before creating a database, check if one already exists.
For full environment config structure, see environment-config.md.
railway status --json
Then query environment config and check source.image for each service:
query environmentConfig($environmentId: String!) {
environment(id: $environmentId) {
config(decryptVariables: false)
}
}
The config.services object contains each service's configuration. Check source.image for:
ghcr.io/railway/postgres*orpostgres:*→ Postgresghcr.io/railway/redis*orredis:*→ Redisghcr.io/railway/mysql*ormysql:*→ MySQLghcr.io/railway/mongo*ormongo:*→ MongoDB
Available Databases
| Database | Template Code |
|---|---|
| PostgreSQL | postgres |
| Redis | redis |
| MySQL | mysql |
| MongoDB | mongodb |
Prerequisites
Get project context:
railway status --json
Extract:
id- project IDenvironments.edges[0].node.id- environment ID
Get workspace ID (not in status output):
bash <<'SCRIPT'
scripts/railway-api.sh \
'query getWorkspace($projectId: String!) {
project(id: $projectId) { workspaceId }
}' \
'{"projectId": "PROJECT_ID"}'
SCRIPT
Adding a Database
Step 1: Fetch Template
bash <<'SCRIPT'
scripts/railway-api.sh \
'query template($code: String!) {
template(code: $code) {
id
name
serializedConfig
}
}' \
'{"code": "postgres"}'
SCRIPT
This returns the template's id and serializedConfig needed for deployment.
Step 2: Deploy Template
bash <<'SCRIPT'
scripts/railway-api.sh \
'mutation deployTemplate($input: TemplateDeployV2Input!) {
templateDeployV2(input: $input) {
projectId
workflowId
}
}' \
'{
"input": {
"templateId": "TEMPLATE_ID",
"serializedConfig": SERIALIZED_CONFIG,
"projectId": "PROJECT_ID",
"environmentId": "ENVIRONMENT_ID",
"workspaceId": "WORKSPACE_ID"
}
}'
SCRIPT
Important: serializedConfig is the exact object from the template query, not a string.
Connecting to the Database
After deployment, other services connect using reference variables.
For complete variable reference syntax and wiring patterns, see variables.md.
Backend Services (Server-side)
Use the private/internal URL for server-to-server communication:
| Database | Variable Reference |
|---|---|
| PostgreSQL | ${{Postgres.DATABASE_URL}} |
| Redis | ${{Redis.REDIS_URL}} |
| MySQL | ${{MySQL.MYSQL_URL}} |
| MongoDB | ${{MongoDB.MONGO_URL}} |
Frontend Applications
Important: Frontends run in the user's browser and cannot access Railway's private network. They must use public URLs or go through a backend API.
For direct database access from frontend (not recommended):
- Use the public URL variables (e.g.,
${{MongoDB.MONGO_PUBLIC_URL}}) - Requires TCP proxy to be enabled
Better pattern: Frontend → Backend API → Database
Example: Add PostgreSQL
bash <<'SCRIPT'
# 1. Get context
railway status --json
# Extract project.id and environment.id
# 2. Get workspace ID
scripts/railway-api.sh \
'query { project(id: "proj-id") { workspaceId } }' '{}'
# 3. Fetch Postgres template
scripts/railway-api.sh \
'query { template(code: "postgres") { id serializedConfig } }' '{}'
# 4. Deploy template
scripts/railway-api.sh \
'mutation deploy($input: TemplateDeployV2Input!) {
templateDeployV2(input: $input) { projectId workflowId }
}' \
'{"input": {"templateId": "...", "serializedConfig": {...}, "projectId": "...", "environmentId": "...", "workspaceId": "..."}}'
SCRIPT
Then Connect From Another Service
Use environment skill to add the variable reference:
{
"services": {
"<backend-service-id>": {
"variables": {
"DATABASE_URL": { "value": "${{Postgres.DATABASE_URL}}" }
}
}
}
}
Response
Successful deployment returns:
{
"data": {
"templateDeployV2": {
"projectId": "e63baedb-e308-49e9-8c06-c25336f861c7",
"workflowId": "deployTemplate/project/e63baedb-e308-49e9-8c06-c25336f861c7/xxx"
}
}
}
What Gets Created
Each database template creates:
- A service with the database image
- A volume for data persistence
- Environment variables for connection strings
- TCP proxy for external access (where applicable)
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Template not found | Invalid template code | Use: postgres, redis, mysql, mongodb |
| Permission denied | User lacks access | Need DEVELOPER role or higher |
| Project not found | Invalid project ID | Run railway status --json for correct ID |
Example Workflows
"add postgres and connect to the server"
- Check existing DBs via env config query
- If postgres exists: Skip to step 5
- If not exists: Deploy postgres template (fetch template → deploy)
- Wait for deployment to complete
- Identify target service (ask if multiple, or use linked service)
- Use
environmentskill to stage:DATABASE_URL: { "value": "${{Postgres.DATABASE_URL}}" } - Apply changes
"add postgres"
- Check existing DBs via env config query
- If exists: "Postgres already exists in this project"
- If not exists: Deploy postgres template
- Inform user: "Postgres created. Connect a service with:
DATABASE_URL=${{Postgres.DATABASE_URL}}"
"connect the server to redis"
- Check existing DBs via env config query
- If redis exists: Wire up REDIS_URL via environment skill → apply
- If no redis: Ask "No Redis found. Create one?"
- Deploy redis template
- Wire REDIS_URL → apply
Composability
- Connect services: Use
environmentskill to add variable references - View database service: Use
serviceskill - Check logs: Use
deploymentskill
How to use database 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 database
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches database from GitHub repository railwayapp/railway-skills 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 database. Access the skill through slash commands (e.g., /database) 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▌
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★38 reviews- ★★★★★Ishan Verma· Dec 24, 2024
database reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Rahul Santra· Nov 23, 2024
Keeps context tight: database is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★William Farah· Nov 15, 2024
Registry listing for database matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Pratham Ware· Oct 14, 2024
I recommend database for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Layla Thompson· Oct 10, 2024
Solid pick for teams standardizing on skills: database is focused, and the summary matches what you get after install.
- ★★★★★William Flores· Oct 6, 2024
Useful defaults in database — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yash Thakker· Sep 17, 2024
Solid pick for teams standardizing on skills: database is focused, and the summary matches what you get after install.
- ★★★★★Yuki Malhotra· Sep 17, 2024
Registry listing for database matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Zara Ramirez· Sep 13, 2024
database fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ava Iyer· Sep 13, 2024
Keeps context tight: database is the kind of skill you can hand to a new teammate without a long onboarding doc.
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