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name: docker-deployer description: | Automates Docker containerization and deployment for applications. This skill should be used when users want to containerize applications, set up CI/CD pipelines, or deploy to container platforms.

Docker Deployer

Automate containerization and deployment with production-grade Docker practices.

What This Skill Does

• Creates optimized Dockerfiles for different languages/frameworks
• Generates docker-compose for local development
• Sets up CI/CD pipeline configuration
• Deploys to container platforms (ECS, GKE, etc.)

What This Skill Does NOT Do

• Manage Kubernetes clusters (use k8s-specific tools)
• Handle secrets management (use Vault, AWS Secrets Manager)
• Monitor running containers (use observability tools)

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Before Implementation

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Required Clarifications

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Deployment Workflow

Copy1. Analyze → 2. Dockerfile → 3. Compose → 4. CI/CD → 5. Deploy Config

1. Analyze Application

Determine:

• Runtime requirements
• Build dependencies vs runtime dependencies
• Exposed ports
• Environment variables needed

2. Generate Dockerfile

Use multi-stage builds. Run scripts/generate_dockerfile.py.

See references/dockerfile-patterns.md for optimization.

3. Generate docker-compose

For local development with dependencies (database, cache).

4. CI/CD Pipeline

Generate based on platform:

• GitHub Actions: .github/workflows/deploy.yml
• GitLab CI: .gitlab-ci.yml

5. Platform Config

Generate deployment configuration for target platform.

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Pre-Delivery Checklist

• Multi-stage build used (smaller image)
• Non-root user configured
• .dockerignore created
• Health check defined
• No secrets in image
• CI/CD tests before deploy

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Reference Files