Deploy PostgreSQL, Redis, MySQL, or MongoDB with pre-configured volumes, networking, and connection variables.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondatabaseExecute the skills CLI command in your project's root directory to begin installation:
Fetches database from railwayapp/railway-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate database. Access via /database in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
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
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: $environmentId) {
config(decryptVariables: false)
}
}
The config.services object contains each service's configuration. Check source.image for:
ghcr.io/railway/postgres* or postgres:* → Postgresghcr.io/railway/redis* or redis:* → Redisghcr.io/railway/mysql* or mysql:* → MySQLghcr.io/railway/mongo* or mongo:* → MongoDB| Database | Template Code |
|---|---|
| PostgreSQL | postgres |
| Redis | redis |
| MySQL | mysql |
| MongoDB | mongodb |
Get project context:
railway status --json
Extract:
id - project IDenvironments.edges[0].node.id - environment IDGet workspace ID (not in status output):
bash <<'SCRIPT'
scripts/railway-api.sh \
'query getWorkspace($projectId: String!) {
project(id: $projectId) { workspaceId }
}' \
'{"projectId": "PROJECT_ID"}'
SCRIPT
bash <<'SCRIPT'
scripts/railway-api.sh \
'query template($code: String!) {
template(code: $code) {
id
name
serializedConfig
}
}' \
'{"code": "postgres"}'
SCRIPT
This returns the template's id and serializedConfig needed for deployment.
bash <<'SCRIPT'
scripts/railway-api.sh \
'mutation deployTemplate($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.
After deployment, other services connect using reference variables.
For complete variable reference syntax and wiring patterns, see variables.md.
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}} |
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):
${{MongoDB.MONGO_PUBLIC_URL}})Better pattern: Frontend → Backend API → Database
bash <<'SCRIPT'
# 1. Get context
railway status --json
# Extract project.id and environment.id
# 2. Get workspace ID
scripts/railway-api.sh \
'query { project(id: "proj-id") { workspaceId } }' '{}'
# 3. Fetch Postgres template
scripts/railway-api.sh \
'query { template(code: "postgres") { id serializedConfig } }' '{}'
# 4. Deploy template
scripts/railway-api.sh \
'mutation deploy($input: TemplateDeployV2Input!) {
templateDeployV2(input: $input) { projectId workflowId }
}' \
'{"input": {"templateId": "...", "serializedConfig": {...}, "projectId": "...", "environmentId": "...", "workspaceId": "..."}}'
SCRIPT
Use environment skill to add the variable reference:
{
"services": {
"<backend-service-id>": {
"variables": {
"DATABASE_URL": { "value": "${{Postgres.DATABASE_URL}}" }
}
}
}
}
Successful deployment returns:
{
"data": {
"templateDeployV2": {
"projectId": "e63baedb-e308-49e9-8c06-c25336f861c7",
"workflowId": "deployTemplate/project/e63baedb-e308-49e9-8c06-c25336f861c7/xxx"
}
}
}
Each database template creates:
| 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 |
environment skill to stage: DATABASE_URL: { "value": "${{Postgres.DATABASE_URL}}" }DATABASE_URL=${{Postgres.DATABASE_URL}}"environment skill to add variable referencesservice skilldeployment skillMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
database reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: database is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for database matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend database for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: database is focused, and the summary matches what you get after install.
Useful defaults in database — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: database is focused, and the summary matches what you get after install.
Registry listing for database matched our evaluation — installs cleanly and behaves as described in the markdown.
database fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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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