Phase 9: Deployment

SkillCloud & infra

Skill for deploying to production environment. Covers CI/CD, environment configuration, and deployment strategies.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Phase 9: Deployment skill

What this skill tells your AI

The instructions your AI receives, as published by ww-w-ai/bkit-gemini in skills/phase-9-deployment/SKILL.md and read by ahel’s review.

Ship to production

Deployment Options

Starter Level: Vercel/Netlify

# Vercel deployment
npm i -g vercel
vercel deploy --prod

# Or connect GitHub for auto-deploy

Dynamic Level: Docker + Platform

# Dockerfile
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

FROM node:20-alpine AS runner
WORKDIR /app
COPY --from=builder /app/.next ./.next
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/package.json ./
EXPOSE 3000
CMD ["npm", "start"]

Enterprise Level: Kubernetes

# kubernetes/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
    spec:
      containers:
      - name: app
        image: myapp:latest
        ports:
        - containerPort: 3000

CI/CD Pipeline

# .github/workflows/deploy.yml
name: Deploy

on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      - run: npm ci
      - run: npm run build
      - run: npm run test
      - uses: amondnet/vercel-action@v25
        with:
          vercel-token: ${{ secrets.VERCEL_TOKEN }}
          vercel-org-id: ${{ secrets.ORG_ID }}
          vercel-project-id: ${{ secrets.PROJECT_ID }}
          vercel-args: '--prod'

Environment Variables

# Production .env
DATABASE_URL=postgres://...
NEXT_PUBLIC_API_URL=https://api.example.com
AUTH_SECRET=<generated-secret>

Deployment Checklist

  • All tests passing
  • Environment variables set
  • Database migrations run
  • SSL certificates configured
  • Monitoring set up
  • Backup strategy in place

Post-Deployment

After successful deployment:

  1. Verify functionality
  2. Monitor logs
  3. Check performance
  4. Generate completion report: /pdca report {feature}

Signals

GitHub stars
65
Forks
16
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
phase-9-deployment
Source
github.com/ww-w-ai/bkit-gemini