Agent skill

deploy-baselhussain-ai-keto-meal-plan-ge

Deploy frontend and backend to Vercel with migration and health verification

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/deploy-baselhussain-ai-keto-meal-plan-ge

SKILL.md

User Input

text
$ARGUMENTS

Options: production, staging, preview, or empty (defaults to staging)

Task

Deploy the keto meal plan application to Vercel with proper migrations and health checks.

Steps

  1. Parse Arguments:

    • production: Deploy to production environment
    • staging: Deploy to staging environment (default)
    • preview: Create preview deployment
  2. Pre-Deployment Checks:

    bash
    # Ensure we're on correct branch
    git branch --show-current
    
    # Check for uncommitted changes
    git status --porcelain
    
    # Run tests
    cd backend && pytest tests/unit/ -v
    
    # Build frontend locally to catch errors
    cd frontend && npm run build
    
  3. Push to Git (if needed):

    bash
    git add .
    git commit -m "Deploy: [production|staging|preview]"
    git push origin $(git branch --show-current)
    
  4. Deploy Frontend to Vercel:

    bash
    cd frontend
    
    # Production deployment
    vercel --prod
    
    # Or staging/preview
    vercel
    
  5. Deploy Backend to Render:

    bash
    # Backend deploys automatically via GitHub integration
    # Or trigger manual deploy via Render dashboard
    # Or use Render CLI:
    
    cd backend
    
    # If using Render CLI
    render deploy --service backend-service
    
    # Check deploy status
    render services list
    
  6. Run Database Migrations:

    bash
    # Set DATABASE_URL to production/staging database
    export DATABASE_URL="[production-database-url]"
    
    cd backend
    alembic upgrade head
    
    # Verify migration
    alembic current
    
  7. Verify Deployment Health:

    bash
    # Frontend health (Vercel)
    curl https://keto-meal-plan.vercel.app/
    
    # Backend health (Render)
    curl https://keto-meal-plan-api.onrender.com/health
    
    # Database connection
    curl https://keto-meal-plan-api.onrender.com/internal/db-health
    
    # Redis connection
    curl https://keto-meal-plan-api.onrender.com/internal/redis-health
    
  8. Test Critical Endpoints:

    bash
    # Quiz submission endpoint
    curl -X POST https://keto-meal-plan-api.onrender.com/v1/quiz/submit \
      -H "Content-Type: application/json" \
      -d '{"email":"[email protected]","step_1":"male"}'
    
    # Webhook endpoint (should return 401 without signature)
    curl -X POST https://keto-meal-plan-api.onrender.com/webhooks/paddle
    
  9. Configure Environment Variables (if first deploy):

    Backend (Render Dashboard):

    • DATABASE_URL
    • REDIS_URL
    • OPENAI_API_KEY
    • GEMINI_API_KEY
    • PADDLE_API_KEY
    • PADDLE_WEBHOOK_SECRET
    • BLOB_READ_WRITE_TOKEN
    • RESEND_API_KEY
    • RESEND_FROM_EMAIL
    • SENTRY_DSN
    • JWT_SECRET
    • APP_URL

    Frontend (Vercel Dashboard):

    bash
    vercel env add NEXT_PUBLIC_API_URL production
    vercel env add NEXT_PUBLIC_PADDLE_VENDOR_ID production
    vercel env add NEXT_PUBLIC_PADDLE_ENVIRONMENT production
    
  10. Output Summary:

    ✅ Deployment Summary
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    
    Environment: production
    Branch: main
    
    Frontend (Vercel):
    ✅ Deployed to: https://keto-meal-plan.vercel.app
    ✅ Build successful
    ✅ Health check: PASS
    
    Backend (Render):
    ✅ Deployed to: https://keto-meal-plan-api.onrender.com
    ✅ Migrations applied: 5 pending → all applied
    ✅ Health check: PASS
    ✅ Database: Connected
    ✅ Redis: Connected
    
    Post-Deployment:
    ⚠️ Update Paddle webhook URL to:
       https://keto-meal-plan-api.onrender.com/webhooks/paddle
    
    ⚠️ Update NEXT_PUBLIC_API_URL in Vercel to:
       https://keto-meal-plan-api.onrender.com/v1
    
    ⚠️ Test full payment flow in production (test mode):
       1. Complete quiz
       2. Test payment with Paddle test card
       3. Verify email delivery
       4. Check PDF download
    

Example Usage

bash
/deploy                  # Deploy to staging
/deploy staging          # Deploy to staging
/deploy production       # Deploy to production
/deploy preview          # Create preview deployment

Exit Criteria

  • Both frontend and backend deployed successfully
  • Database migrations applied
  • Health checks pass
  • Critical endpoints respond correctly
  • Deployment URLs logged

Post-Deployment Checklist

  • Update Paddle webhook URL in Paddle dashboard
  • Test quiz submission in production
  • Test payment flow with Paddle test card
  • Verify email delivery
  • Check Sentry for errors
  • Monitor Vercel Analytics for traffic
  • Verify cron jobs scheduled correctly

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