---
name: CD Pipeline Generator
slug: cd-pipeline-generator
category: DevOps
description: CD Pipeline Generator creates GitHub Actions deployment workflows for staging and production. Use it to set up multi-environment release pipelines with approval gates, secrets, and rollback steps.
github: "https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/cd-pipeline-generator"
language: Python
stars: 247
forks: 23
install: "npx degit https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/cd-pipeline-generator ~/.claude/skills/cd-pipeline-generator"
installs_to: ~/.claude/skills/cd-pipeline-generator
source_path: skills/cd-pipeline-generator/SKILL.md
collection_size: 25
category_size: 828
collection_url: "https://dirskills.com/collections/ArabelaTso/Skills-4-SE"
added: 2026-09-02T05:21:30.792Z
last_synced: 2026-09-02T05:21:30.792Z
canonical_url: "https://dirskills.com/skills/cd-pipeline-generator"
---

# CD Pipeline Generator

CD Pipeline Generator creates GitHub Actions deployment workflows for staging and production. Use it to set up multi-environment release pipelines with approval gates, secrets, and rollback steps.

**Install:**

```bash
npx degit https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/cd-pipeline-generator ~/.claude/skills/cd-pipeline-generator
```

## README

# CD Pipeline Generator

## Overview

Generate production-ready GitHub Actions deployment workflows that automate deployments to staging and production environments with environment protection rules, approval gates, and secrets management.

## Workflow

### 1. Identify Deployment Target

Determine the cloud platform and deployment method:
- **AWS**: ECS, Elastic Beanstalk, EC2, Lambda
- **GCP**: Cloud Run, App Engine, Compute Engine, Cloud Functions
- **Azure**: App Service, Container Instances, Functions

### 2. Select Template

Use the appropriate template from `assets/` based on cloud platform:
- `deploy-aws.yml` - AWS deployments (ECS, Elastic Beanstalk, Lambda)
- `deploy-gcp.yml` - GCP deployments (Cloud Run, App Engine)
- `deploy-azure.yml` - Azure deployments (App Service, Container Instances)

### 3. Configure Environments

Set up GitHub environment protection rules for staging and production:

**Staging environment**:
- Auto-deploy on merge to main/master
- No approval required
- Use staging secrets and variables

**Production environment**:
- Manual approval required
- Deploy on workflow_dispatch or tag push
- Use production secrets and variables
- Optional: Restrict to specific branches

### 4. Configure Secrets

Add required secrets to GitHub repository settings (Settings → Secrets and variables → Actions):

**AWS**:
- `AWS_ACCESS_KEY_ID`
- `AWS_SECRET_ACCESS_KEY`
- `AWS_REGION`

**GCP**:
- `GCP_PROJECT_ID`
- `GCP_SERVICE_ACCOUNT_KEY`

**Azure**:
- `AZURE_CREDENTIALS`
- `AZURE_SUBSCRIPTION_ID`

### 5. Customize Deployment Steps

Adapt the template to project-specific deployment needs:

**Build artifacts**: Add build steps before deployment
```yaml
- name: Build application
  run: npm run build  # or: python -m build, go build, cargo build
```

**Docker images**: Build and push container images
```yaml
- name: Build Docker image
  run: docker build -t $IMAGE_NAME:$TAG .

- name: Push to registry
  run: docker push $IMAGE_NAME:$TAG
```

**Database migrations**: Run migrations before deployment
```yaml
- name: Run migrations
  run: npm run migrate  # or: alembic upgrade head, rails db:migrate
```

**Health checks**: Verify deployment success
```yaml
- name: Health check
  run: curl -f https://$DEPLOYMENT_URL/health || exit 1
```

### 6. Set Deployment Triggers

Configure when deployments run:

**Staging**: Auto-deploy on push to main
```yaml
on:
  push:
    branches: [main]
```

**Production**: Manual trigger or tag-based
```yaml
on:
  workflow_dispatch:
  push:
    tags:
      - 'v*'
```

### 7. Place Workflow File

Create deployment workflow at `.github/workflows/deploy.yml`. If multiple deployment workflows are needed (e.g., separate staging and production), use descriptive names:
- `.github/workflows/deploy-staging.yml`
- `.github/workflows/deploy-production.yml`

## Template Features

All templates include:
- **Environment separation**: Distinct staging and production deployments
- **Approval gates**: Production deployments require manual approval
- **Secrets management**: Secure credential handling via GitHub secrets
- **Deployment status**: Clear success/failure reporting
- **Rollback support**: Easy revert to previous versions
- **Conditional execution**: Deploy only when tests pass

## Security Best Practices

- Never commit credentials or API keys to the repository
- Use GitHub environments to scope secrets appropriately
- Enable required reviewers for production deployments
- Use OIDC authentication instead of long-lived credentials when possible
- Implement deployment windows for production (e.g., business hours only)
- Add deployment notifications to Slack/email

## Customization Examples

**Add deployment notification**:
```yaml
- name: Notify deployment
  if: always()
  uses: 8398a7/action-slack@v3
  with:
    status: ${{ job.status }}
    text: 'Deployment to ${{ github.event.inputs.environment }} ${{ job.status }}'
  env:
    SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK }}
```

**Add rollback capability**:
```yaml
- name: Rollback on failure
  if: failure()
  run: |
    echo "Deployment failed, rolling back..."
    # Platform-specific rollback commands
```

**Restrict production deployment time**:
```yaml
- name: Check deployment window
  run: |
    HOUR=$(date +%H)
    if [ $HOUR -lt 9 ] || [ $HOUR -gt 17 ]; then
      echo "Deployments only allowed 9 AM - 5 PM"
      exit 1
    fi
```

## Tips

- Start with staging deployments to validate the workflow
- Use environment-specific configuration files (e.g., `config.staging.json`, `config.production.json`)
- Implement blue-green or canary deployments for zero-downtime updates
- Add deployment metrics and monitoring
- Document rollback procedures in the repository
- Test deployment workflows in a separate test environment first