docker-compose-orchestration

manutej/luxor-claude-marketplace · updated Apr 8, 2026

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$npx skills add https://github.com/manutej/luxor-claude-marketplace --skill docker-compose-orchestration
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summary

Orchestrate multi-container applications with declarative YAML configuration, networking, volumes, and production-ready deployments.

  • Define entire application stacks in YAML with services, networks, volumes, and secrets; automatic service discovery enables inter-container communication by name
  • Supports development, staging, and production workflows through compose file overrides and environment-specific configurations with health checks and restart policies
  • Includes 16+ real-world pa
skill.md

Docker Compose Orchestration

A comprehensive skill for orchestrating multi-container applications using Docker Compose. This skill enables rapid development, deployment, and management of containerized applications with service definitions, networking strategies, volume management, health checks, and production-ready configurations.

When to Use This Skill

Use this skill when:

  • Building multi-container applications (microservices, full-stack apps)
  • Setting up development environments with databases, caching, and services
  • Orchestrating frontend, backend, and database services together
  • Managing service dependencies and startup order
  • Configuring networks and inter-service communication
  • Implementing persistent storage with volumes
  • Deploying applications to development, staging, or production
  • Creating reproducible development environments
  • Managing application lifecycle (start, stop, rebuild, scale)
  • Monitoring application health and implementing health checks
  • Migrating from single containers to multi-service architectures
  • Testing distributed systems locally

Core Concepts

Docker Compose Philosophy

Docker Compose simplifies multi-container application management through:

  • Declarative Configuration: Define entire application stacks in YAML
  • Service Abstraction: Each component is a service with its own configuration
  • Automatic Networking: Services can communicate by name automatically
  • Volume Management: Persistent data and shared storage across containers
  • Environment Isolation: Each project gets its own network namespace
  • Reproducibility: Same configuration works across all environments

Key Docker Compose Entities

  1. Services: Individual containers and their configurations
  2. Networks: Communication channels between services
  3. Volumes: Persistent storage and data sharing
  4. Configs: Non-sensitive configuration files
  5. Secrets: Sensitive data (passwords, API keys)
  6. Projects: Collection of services under a single namespace

Compose File Structure

version: "3.8"  # Compose file format version

services:       # Define containers
  service-name:
    # Service configuration

networks:       # Define custom networks
  network-name:
    # Network configuration

volumes:        # Define named volumes
  volume-name:
    # Volume configuration

configs:        # Application configs (optional)
  config-name:
    # Config source

secrets:        # Sensitive data (optional)
  secret-name:
    # Secret source

Service Definition Patterns

Basic Service Definition

services:
  web:
    image: nginx:alpine           # Use existing image
    container_name: my-web        # Custom container name
    restart: unless-stopped       # Restart policy
    ports:
      - "80:80"                   # Host:Container port mapping
    environment:
      - ENV_VAR=value             # Environment variables
    volumes:
      - ./html:/usr/share/nginx/html  # Volume mount
    networks:
      - frontend                  # Connect to network

Build-Based Service

services:
  app:
    build:
      context: ./app              # Build context directory
      dockerfile: Dockerfile      # Custom Dockerfile
      args:                       # Build arguments
        NODE_ENV: development
      target: development         # Multi-stage build target
    image: myapp:latest           # Tag resulting image
    ports:
      - "3000:3000"

Service with Dependencies

services:
  web:
    image: nginx
    depends_on:
      db:
        condition: service_healthy  # Wait for health check
      redis:
        condition: service_started  # Wait for start only

  db:
    image: postgres:15
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 30s

  redis:
    image: redis:alpine

Service with Advanced Configuration

services:
  backend:
    build: ./backend
    command: npm run dev          # Override default command
    working_dir: /app             # Set working directory
    user: "1000:1000"             # Run as specific user
    hostname: api-server          # Custom hostname
    domainname: example.com       # Domain name
    env_file:
      - .env                      # Load env from file
      - .env.local
    environment:
      DATABASE_URL: "postgresql://db:5432/myapp"
      REDIS_URL: "redis://cache:6379"
    volumes:
      - ./backend:/app            # Source code mount
      - /app/node_modules         # Preserve node_modules
      - app-data:/data            # Named volume
    ports:
      - "3000:3000"               # Application port
      - "9229:9229"               # Debug port
    expose:
      - "8080"                    # Expose to other services only
    networks:
      - backend
      - frontend
    labels:
      - "com.example.description=Backend API"
      - "com.example.version=1.0"
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"
    deploy:
      resources:
        limits:
          cpus: '2'
          memory: 1G
        reservations:
          cpus: '0.5'
          memory: 512M

Multi-Container Application Patterns

Pattern 1: Full-Stack Web Application

Scenario: React frontend + Node.js backend + PostgreSQL database

version: "3.8"

services:
  # Frontend React Application
  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile
      target: development
    ports:
      - "3000:3000"
    volumes:
      - ./frontend/src:/app/src
      - /app/node_modules
    environment:
      - REACT_APP_API_URL=http://localhost:4000/api
      - CHOKIDAR_USEPOLLING=true  # For hot reload
    networks:
      - frontend
    depends_on:
      - backend

  # Backend Node.js API
  backend:
    build:
      context: ./backend
      dockerfile: Dockerfile
    ports:
      - "4000:4000"
      - "9229:9229"  # Debugger
    volumes:
      - ./backend:/app
      - /app/node_modules
    environment:
      - NODE_ENV=development
      - DATABASE_URL=postgresql://postgres:password@db:5432/myapp
      - REDIS_URL=redis://cache:6379
      - JWT_SECRET=dev-secret
    env_file:
      - ./backend/.env.local
    networks:
      - fronte
how to use docker-compose-orchestration

How to use docker-compose-orchestration on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add docker-compose-orchestration
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/manutej/luxor-claude-marketplace --skill docker-compose-orchestration

The skills CLI fetches docker-compose-orchestration from GitHub repository manutej/luxor-claude-marketplace and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/docker-compose-orchestration

Reload or restart Cursor to activate docker-compose-orchestration. Access the skill through slash commands (e.g., /docker-compose-orchestration) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.829 reviews
  • Ganesh Mohane· Dec 28, 2024

    docker-compose-orchestration has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kofi Menon· Dec 16, 2024

    We added docker-compose-orchestration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • William Smith· Dec 4, 2024

    Keeps context tight: docker-compose-orchestration is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Soo Johnson· Nov 23, 2024

    Registry listing for docker-compose-orchestration matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Nov 19, 2024

    docker-compose-orchestration reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Omar Mehta· Nov 7, 2024

    docker-compose-orchestration fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Maya Johnson· Oct 26, 2024

    docker-compose-orchestration has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ren Rao· Oct 14, 2024

    Useful defaults in docker-compose-orchestration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chaitanya Patil· Oct 10, 2024

    We added docker-compose-orchestration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kaira Kim· Sep 25, 2024

    docker-compose-orchestration is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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