docker-workflowlisted

# Docker Workflow (source: AutumnsGrove) ## Overview Docker containerization streamlines development, testing, and deployment by packaging applications with their dependencies into portable, reproducible containers. This skill guides you through professional Docker workflows from development to production. ## Core Capabilities - **Multi-stage builds**: Separate build and runtime dependencies for optimal image size - **Docker Compose orchestration**: Manage multi-container applications with networking and dependencies - **Image optimization**: Reduce image size by 50-90% through best practices - **Development workflows**: Hot-reload, volume mounting, and environment-specific configs - **Debugging tools**: Container inspection, health checks, and troubleshooting utilities - **Production readiness**: Security hardening, health checks, and deployment strategies ## When to Use This Skill Activate when: - Containerizing a new application - Setting up development environments with Docker - Creating production-ready Docker images - Orchestrating multi-container applications - Debugging container issues - Optimizing Docker builds and images ## Workflow Phases ### Phase 1: Initial Setup #### Create .dockerignore Exclude unnecessary files from build context: ```dockerignore node_modules/ __pycache__/ *.pyc .git/ .env *.log dist/ build/ coverage/ ``` See `examples/.dockerignore` for comprehensive template. **Key principles**: - Exclude build artifacts and dependencies - Excl