
supabase-deploy-integration
by jeremylongshore
Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.
SKILL.md
name: supabase-deploy-integration description: | Deploy Supabase integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Supabase-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy supabase", "supabase Vercel", "supabase production deploy", "supabase Cloud Run", "supabase Fly.io". allowed-tools: Read, Write, Edit, Bash(vercel:), Bash(fly:), Bash(gcloud:*) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Supabase Deploy Integration
Prerequisites
- Supabase API keys for production environment
- Platform CLI installed (vercel, fly, or gcloud)
- Application code ready for deployment
- Environment variables documented
Instructions
Step 1: Choose Deployment Platform
Select the platform that best fits your infrastructure needs and follow the platform-specific guide below.
Step 2: Configure Secrets
Store Supabase API keys securely using the platform's secrets management.
Step 3: Deploy Application
Use the platform CLI to deploy your application with Supabase integration.
Step 4: Verify Health
Test the health check endpoint to confirm Supabase connectivity.
Output
- Application deployed to production
- Supabase secrets securely configured
- Health check endpoint functional
- Environment-specific configuration in place
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
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