Orchestrate multi-container applications with declarative YAML configuration, networking, volumes, and production-ready deployments.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondocker-compose-orchestrationExecute the skills CLI command in your project's root directory to begin installation:
Fetches docker-compose-orchestration from manutej/luxor-claude-marketplace and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate docker-compose-orchestration. Access via /docker-compose-orchestration in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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.
Use this skill when:
Docker Compose simplifies multi-container application management through:
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
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
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"
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
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
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:
- frontePrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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docker-compose-orchestration has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added docker-compose-orchestration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: docker-compose-orchestration is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for docker-compose-orchestration matched our evaluation — installs cleanly and behaves as described in the markdown.
docker-compose-orchestration reduced setup friction for our internal harness; good balance of opinion and flexibility.
docker-compose-orchestration fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
docker-compose-orchestration has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in docker-compose-orchestration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added docker-compose-orchestration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
docker-compose-orchestration is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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