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".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
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.
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