πŸ”„ CI/CD Pipeline: Continuous Integration & Deployment

SkillCloud & infra

Use this skill when the user says 'CI/CD', 'GitHub Actions', 'pipeline', 'continuous integration', 'continuous deployment', 'ci-cd-pipeline', 'automate deploys', or needs to set up automated build, test, and deployment pipelines. Do NOT use for one-time manual deployments.

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 πŸ”„ CI/CD Pipeline: Continuous Integration & Deployment skill

What this skill tells your AI

The instructions your AI receives, as published by cwinvestments/memstack in skills/deployment/ci-cd-pipeline/SKILL.md and read by ahel’s review.

Detect project type and generate a complete CI/CD pipeline with lint, test, build, deploy stages, rollback strategy, and environment management.

Activation

When this skill activates, output:

πŸ”„ CI/CD Pipeline: Designing your pipeline...

ContextStatus
User says "CI/CD", "pipeline", "GitHub Actions"ACTIVE
User wants automated testing and deploymentACTIVE
User mentions branch strategy, deploy gates, or rollbacksACTIVE
User wants Docker setup (CI/CD is secondary)DORMANT: see docker-setup
User wants server provisioning (not pipeline)DORMANT: see hetzner-setup
User wants to deploy to a specific platform onlyDORMANT, see railway-deploy or netlify-deploy

Protocol

Step 1: Gather Inputs

Ask the user for:

  • Project type: Node.js, Python, Go, Rust, monorepo?
  • Testing framework: Jest, Vitest, Pytest, Go test?
  • Deployment target: Vercel, Railway, Netlify, Hetzner VPS, AWS, Docker registry?
  • Current CI/CD: Any existing pipeline, or starting from scratch?
  • Branch strategy: Trunk-based, GitFlow, or custom?
  • Team size: Solo dev, small team, or large team?

Step 2: Detect Project & Recommend Platform

Auto-detect from project files and recommend CI/CD platform:

Project SignalPlatform RecommendationReason
.github/ existsGitHub ActionsAlready on GitHub, native integration
vercel.json or Next.jsVercel (auto-deploy) + GitHub Actions (CI)Vercel handles deploy, GHA handles testing
railway.jsonRailway (auto-deploy) + GitHub Actions (CI)Railway handles deploy, GHA handles testing
netlify.tomlNetlify (auto-deploy) + GitHub Actions (CI)Netlify handles deploy, GHA handles testing
Dockerfile presentGitHub Actions β†’ Docker registry β†’ deployFull control pipeline
Monorepo (packages/)GitHub Actions with matrix/path filtersNeed per-package CI
Self-hosted serverGitHub Actions β†’ SSH deployPush-based deployment

Default recommendation: GitHub Actions: free for public repos, 2,000 min/month for private.

Step 3: Design Pipeline Stages

Define the stage sequence:

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  LINT   │──→│  TEST   │──→│  BUILD  │──→│ DEPLOY  │──→│ VERIFY  β”‚
β”‚         β”‚   β”‚         β”‚   β”‚         β”‚   β”‚         β”‚   β”‚         β”‚
β”‚ ESLint  β”‚   β”‚ Unit    β”‚   β”‚ Compile β”‚   β”‚ Push to β”‚   β”‚ Health  β”‚
β”‚ Prettierβ”‚   β”‚ Integ.  β”‚   β”‚ Bundle  β”‚   β”‚ target  β”‚   β”‚ Smoke   β”‚
β”‚ Types   β”‚   β”‚ E2E     β”‚   β”‚ Docker  β”‚   β”‚ env     β”‚   β”‚ Rollbackβ”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
     β”‚              β”‚              β”‚              β”‚              β”‚
  Fail fast    Gate: block     Artifacts      Env-specific    Auto-rollback
  < 1 min      if < 80%       cached         secrets         on failure

Stage details:

StageTriggerFailure ActionDuration Target
LintEvery push, every PRBlock merge< 1 min
TestEvery push, every PRBlock merge< 5 min
BuildPR merge to main/developBlock deploy< 3 min
DeployBuild passes on target branchAlert + rollback< 2 min
VerifyAfter deploy completesAuto-rollback< 1 min

Step 4: Branch Strategy

Recommended: Simplified GitFlow

main (production)
  β”œβ”€β”€ develop (staging)
  β”‚     β”œβ”€β”€ feature/add-auth
  β”‚     β”œβ”€β”€ feature/dashboard
  β”‚     └── fix/login-bug
  └── hotfix/critical-fix (β†’ main + develop)
BranchDeploys ToCI RunsAuto-Deploy?
feature/*noneLint + TestNo
developStagingLint + Test + Build + DeployYes
mainProductionLint + Test + Build + DeployYes (or manual gate)
hotfix/*noneLint + TestNo (merge to main to deploy)

Branch protection rules:

main:
  - Require PR review (1+ approvals)
  - Require status checks (lint, test, build)
  - No force push
  - No direct push

develop:
  - Require status checks (lint, test)
  - Allow direct push (for solo devs)
  - No force push

Step 5: Environment Variable Management

── ENVIRONMENT VARIABLES ──────────────────

Three environments with escalating secrets:

LOCAL (.env.local, never committed):
  DATABASE_URL=postgresql://localhost:5432/app_dev
  API_KEY=dev_test_key
  NODE_ENV=development

STAGING (GitHub Secrets / platform env):
  DATABASE_URL=[staging DB connection string]
  API_KEY=[staging API key]
  NODE_ENV=staging

PRODUCTION (GitHub Secrets / platform env):
  DATABASE_URL=[production DB connection string]
  API_KEY=[production API key]
  NODE_ENV=production

Secret management rules:

  • Never hardcode secrets in pipeline config
  • Use GitHub Environments for per-branch secrets
  • Use GITHUB_TOKEN for GitHub operations (auto-provided)
  • Rotate secrets quarterly
  • Audit secret access in GitHub Settings β†’ Secrets β†’ Audit log

GitHub Environments setup:

Repository β†’ Settings β†’ Environments:
  staging:
    Secrets: DATABASE_URL, API_KEY
    Deployment branches: develop

  production:
    Secrets: DATABASE_URL, API_KEY
    Deployment branches: main
    Required reviewers: [team member] (optional gate)

Step 6: Generate Pipeline Config

GitHub Actions: Node.js project:

name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main, develop]

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  lint:
    name: Lint
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: 'npm'
      - run: npm ci
      - run: npm run lint
      - run: npm run typecheck  # If TypeScript

  test:
    name: Test
    runs-on: ubuntu-latest
    needs: lint
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: 'npm'
      - run: npm ci
      - run: npm test -- --coverage
      - uses: actions/upload-artifact@v4
        if: always()
        with:
          name: coverage-report
          path: coverage/

  build:
    name: Build
    runs-on: ubuntu-latest
    needs: test
    if: github.event_name == 'push'
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: 'npm'
      - run: npm ci
      - run: npm run build
      - uses: actions/upload-artifact@v4
        with:
          name: build-output
          path: dist/

  deploy-staging:
    name: Deploy to Staging
    runs-on: ubuntu-latest
    needs: build
    if: github.ref == 'refs/heads/develop'
    environment: staging
    steps:
      - uses: actions/checkout@v4
      - uses: actions/download-artifact@v4
        with:
          name: build-output
          path: dist/
      # Platform-specific deploy step here
      # Option A: Railway
      # - uses: bervProject/railway-deploy@main
      #   with:
      #     railway_token: ${{ secrets.RAILWAY_TOKEN }}
      # Option B: SSH deploy to VPS
      # - uses: appleboy/ssh-action@v1
      #   with:
      #     host: ${{ secrets.SERVER_HOST }}
      #     username: deploy
      #     key: ${{ secrets.SSH_PRIVATE_KEY }}
      #     port: 2222
      #     script: |
      #       cd /opt/app && git pull && npm ci --production && pm2 restart all

  deploy-production:
    name: Deploy to Production
    runs-on: ubuntu-latest
    needs: build
    if: github.ref == 'refs/heads/main'
    environment: production
    steps:
      - uses: actions/checkout@v4
      - uses: actions/download-artifact@v4
        with:
          name: build-output
          path: dist/
      # Same deploy pattern as staging but with production env

  verify:
    name: Verify Deployment
    runs-on: ubuntu-latest
    needs: [deploy-staging, deploy-production]
    if: always() && (needs.deploy-staging.result == 'success' || needs.deploy-production.result == 'success')
    steps:
      - name: Health check
        run: |
          URL="${{ github.ref == 'refs/heads/main' && secrets.PRODUCTION_URL || secrets.STAGING_URL }}"
          for i in 1 2 3 4 5; do
            STATUS=$(curl -s -o /dev/null -w "%{http_code}" "$URL/health")
            if [ "$STATUS" = "200" ]; then
              echo "Health check passed"
              exit 0
            fi
            echo "Attempt $i: HTTP $STATUS, retrying in 10s..."
            sleep 10
          done
          echo "Health check failed after 5 attempts"
          exit 1

GitHub Actions: Python project:

name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main, develop]

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.12'
          cache: 'pip'
      - run: pip install ruff mypy
      - run: ruff check .
      - run: mypy .

  test:
    runs-on: ubuntu-latest
    needs: lint
    services:
      postgres:
        image: postgres:16
        env:
          POSTGRES_USER: test
          POSTGRES_PASSWORD: test
          POSTGRES_DB: testdb
        ports: ['5432:5432']
        options: >-
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.12'
          cache: 'pip'
      - run: pip install -r requirements.txt
      - run: pytest --cov --cov-report=xml
        env:
          DATABASE_URL: postgresql://test:test@localhost:5432/testdb

  build-and-deploy:
    runs-on: ubuntu-latest
    needs: test
    if: github.event_name == 'push'
    steps:
      - uses: actions/checkout@v4
      # Docker build + push or direct deploy

Step 7: Deployment Rollback Strategy

Automated rollback on failed health check:

  rollback:
    name: Rollback on Failure
    runs-on: ubuntu-latest
    needs: verify
    if: failure()
    steps:
      - name: Rollback deployment
        run: |
          echo "Deployment verification failed: rolling back"
          # Option A: Revert to previous Docker image
          # docker pull $REGISTRY/app:previous && docker tag $REGISTRY/app:previous $REGISTRY/app:latest
          # Option B: Railway rollback
          # railway rollback
          # Option C: Git revert + redeploy
          # git revert HEAD --no-edit && git push
      - name: Notify team
        run: |
          curl -X POST "${{ secrets.SLACK_WEBHOOK }}" \
            -H 'Content-Type: application/json' \
            -d '{"text":"πŸ”΄ Deployment rolled back, health check failed on ${{ github.ref }}"}'

Rollback strategies by deployment target:

TargetRollback MethodSpeedData Safety
VercelInstant rollback in dashboard or CLIInstantSafe: immutable deploys
Railwayrailway rollback or dashboardInstantSafe: previous deploy preserved
NetlifyDeploy previous build in dashboardInstantSafe: immutable deploys
DockerTag previous image as latest, restartSecondsSafe: images preserved
VPS/PM2git revert + pm2 restartMinutesCheck DB migrations first
Kuberneteskubectl rollout undoSecondsCheck DB migrations first

Database migration caution:

  • If the deploy includes DB migrations, rollback is complex
  • Always write reversible migrations (up + down)
  • Test down migration before deploying up
  • Consider: deploy DB migration separately from code deploy

Step 8: Notifications

Slack notification on deploy:

  notify:
    name: Notify
    runs-on: ubuntu-latest
    needs: [deploy-staging, deploy-production, verify]
    if: always()
    steps:
      - name: Send Slack notification
        env:
          SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
        run: |
          if [ "${{ needs.verify.result }}" = "success" ]; then
            EMOJI="βœ…"
            STATUS="succeeded"
          else
            EMOJI="πŸ”΄"
            STATUS="failed"
          fi
          curl -X POST "$SLACK_WEBHOOK" \
            -H 'Content-Type: application/json' \
            -d "{
              \"text\": \"${EMOJI} Deploy ${STATUS}\",
              \"blocks\": [
                {
                  \"type\": \"section\",
                  \"text\": {
                    \"type\": \"mrkdwn\",
                    \"text\": \"${EMOJI} *Deploy ${STATUS}*\nBranch: \`${{ github.ref_name }}\`\nCommit: \`${{ github.sha }}\`\nBy: ${{ github.actor }}\"
                  }
                }
              ]
            }"

Alternative notification channels:

  • GitHub Actions built-in: Email on failure (Settings β†’ Notifications)
  • Discord webhook: Same curl pattern, different payload format
  • PagerDuty: For production failures that need on-call response

Step 9: Output

Present the complete CI/CD configuration:

━━━ CI/CD PIPELINE ━━━━━━━━━━━━━━━━━━━━━━━
Project: [name]
Platform: GitHub Actions
Deploy target: [platform]
Branch strategy: [strategy]

── PIPELINE STAGES ────────────────────────
Lint β†’ Test β†’ Build β†’ Deploy β†’ Verify
[stage diagram with timing]

── BRANCH STRATEGY ────────────────────────
[branch β†’ environment mapping]
[protection rules]

── ENVIRONMENT VARIABLES ──────────────────
[per-environment secret setup]

── PIPELINE CONFIG ────────────────────────
[complete .github/workflows/ci-cd.yml]

── ROLLBACK STRATEGY ──────────────────────
[per-target rollback method]
[database migration caution]

── NOTIFICATIONS ──────────────────────────
[Slack/Discord/email setup]

── SETUP CHECKLIST ────────────────────────
[ ] Create .github/workflows/ directory
[ ] Add pipeline YAML file
[ ] Configure GitHub Environments (staging, production)
[ ] Add secrets to each environment
[ ] Set branch protection rules
[ ] Configure notification webhook
[ ] Test pipeline with a feature branch PR
[ ] Verify staging deploy on develop merge
[ ] Verify production deploy on main merge

Inputs

  • Project type and language
  • Testing framework
  • Deployment target
  • Branch strategy preference
  • Team size
  • Existing CI/CD (if any)

Outputs

  • Pipeline stage design with timing targets
  • Branch strategy with protection rules
  • Environment variable management per stage
  • Complete CI/CD config file (GitHub Actions YAML)
  • Deployment rollback strategy per target
  • Notification setup (Slack, Discord, email)
  • Setup checklist for first-time configuration

Level History

  • Lv.1: Base: Auto-detect project type, 5-stage pipeline (lint/test/build/deploy/verify), GitHub Actions configs for Node.js and Python, simplified GitFlow branch strategy, environment variable management with GitHub Environments, automated rollback on health check failure, Slack notifications, setup checklist. (Origin: MemStack v3.2, Mar 2026)

Signals

GitHub stars
421
Forks
44
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
memstack-deployment-ci-cd-pipeline
Source
github.com/cwinvestments/memstack