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containerize-application — Claude Code command: Docker

A slash command that writes the Docker setup for your project: Dockerfile, .dockerignore, docker-compose and Kubernetes manifests.

Install into Claude Code · claude-code-templates All methods and platforms ↓
npx claude-code-templates@latest --command deployment/containerize-application
Open on GitHub

What containerize-application does

containerize-application walks an application through containerization in Claude. It starts by reading the project — package.json, setup.py, go.mod or pom.xml reveal the runtime, and it also looks for dependency files and port settings. From there the agent writes a multi-stage Dockerfile, picks a minimal base image and sets up layer caching.

Ten steps sit behind the command: architecture analysis, image build, .dockerignore, runtime with health checks and graceful shutdown, hardening as a non-root user, a docker-compose.yml for local development, Kubernetes manifests, metrics and logging, CI/CD integration, and a build validation pass. Its toolset is narrow — Read, Write, Edit, Bash — so it stays inside the repo.

You can name the stack yourself: --node, --python, --java, --go or --multi-stage. Leave the argument out and the agent detects the runtime from project files. One catch: the build and validation steps need Docker on the machine, so install it before running the command.

What it helps with

  • write a multi-stage Dockerfile for a specific runtime
  • run the app as a non-root user inside a container
  • describe services and volumes in docker-compose for local work
  • prepare Kubernetes manifests for deployment
  • add a health check and graceful shutdown to the container

Example prompts for the agent

  • /containerize-application --node
  • /containerize-application --python
  • /containerize-application --multi-stage

How to install containerize-application

1claude-code-templates

npx claude-code-templates@latest --command deployment/containerize-application

2Manually: put the files in place

.claude/commands/containerize-application.md

Call it with /containerize-application. For all projects use ~/.claude/commands/

Questions about containerize-application

How do I install containerize-application in Claude?

Use the templates package: npx claude-code-templates@latest --command deployment/containerize-application. The command file then lives at .claude/commands/containerize-application.md.

What does containerize-application do?

It analyzes the project and produces a multi-stage Dockerfile, a .dockerignore, a docker-compose.yml, Kubernetes manifests and monitoring configuration.

What arguments does the command take?

--node, --python, --java, --go or --multi-stage. You can also pass the application type positionally; without an argument the agent detects the runtime from files like package.json or go.mod.

Source text

containerize-application.md · MIT
---
allowed-tools: Read, Write, Edit, Bash
argument-hint: "[application-type] | --node | --python | --java | --go | --multi-stage"
description: Containerize application with optimized Docker configuration, security, and multi-stage builds
---

# Application Containerization

Containerize application for deployment: $ARGUMENTS

## Current Application Analysis

- Application type: @package.json or @setup.py or @go.mod or @pom.xml (detect runtime)
- Existing Docker: @Dockerfile or @docker-compose.yml (if exists)
- Dependencies: !`find . -name "*requirements*.txt" -o -name "package*.json" -o -name "go.mod" | head -3`
- Port configuration: !`grep -r "PORT\|listen\|bind" src/ 2>/dev/null | head -3 || echo "Port detection needed"`
- Build tools: @Makefile or build scripts detection

## Task

Implement production-ready containerization strategy:

1. **Application Analysis and Containerization Strategy**
   - Analyze application architecture and runtime requirements
   - Identify application dependencies and external services
   - Determine optimal base image and runtime environment
   - Plan multi-stage build strategy for optimization
   - Assess security requirements and compliance needs

2. **Dockerfile Creation and Optimization**
   - Create comprehensive Dockerfile with multi-stage builds
   - Select minimal base images (Alpine, distroless, or slim variants)
   - Configure proper layer caching and build optimization
   - Implement security best practices (non-root user, minimal attack surface)
   - Set up proper file permissions and ownership

3. **Build Process Configuration**
   - Configure .dockerignore file to exclude unnecessary files
   - Set up build arguments and environment variables
   - Implement build-time dependency installation and cleanup
   - Configure application bundling and asset optimization
   - Set up proper build context and file structure

4. **Runtime Configuration**
   - Configure application startup and health checks
   - Set up proper signal handling and graceful shutdown
   - Configure logging and output redirection
   - Set up environment-specific configuration management
   - Configure resource limits and performance tuning

5. **Security Hardening**
   - Run application as non-root user with minimal privileges
   - Configure security scanning and vulnerability assessment
   - Implement secrets management and secure credential handling
   - Set up network security and firewall rules
   - Configure security policies and access controls

6. **Docker Compose Configuration**
   - Create docker-compose.yml for local development
   - Configure service dependencies and networking
   - Set up volume mounting and data persistence
   - Configure environment variables and secrets
   - Set up development vs production configurations

7. **Container Orchestration Preparation**
   - Prepare configurations for Kubernetes deployment
   - Create deployment manifests and service definitions
   - Configure ingress and load balancing
   - Set up persistent volumes and storage classes
   - Configure auto-scaling and resource management

8. **Monitoring and Observability**
   - Configure application metrics and health endpoints
   - Set up logging aggregation and centralized logging
   - Configure distributed tracing and monitoring
   - Set up alerting and notification systems
   - Configure performance monitoring and profiling

9. **CI/CD Integration**
   - Configure automated Docker image building
   - Set up image scanning and security validation
   - Configure image registry and artifact management
   - Set up automated deployment pipelines
   - Configure rollback and blue-green deployment strategies

10. **Testing and Validation**
    - Test container builds and functionality
    - Validate security configurations and compliance
    - Test deployment in different environments
    - Validate performance and resource utilization
    - Test backup and disaster recovery procedures
    - Create documentation for container deployment and management

© davila7 · MIT · davila7/claude-code-templates

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