
Docker Compose Orchestration
Orchestrate local full-stack stacks—app, database, cache, and workers—with declarative Docker Compose YAML your agent can extend.
Overview
docker-compose-orchestration is an agent skill most often used in Build (also Ship, Operate) that defines and runs multi-container apps with Docker Compose networking, volumes, and health checks.
Install
npx skills add https://github.com/manutej/luxor-claude-marketplace --skill docker-compose-orchestrationWhat is this skill?
- Declarative multi-container stacks in YAML with service abstraction and dependency order
- Networks, volumes, health checks, and reproducible dev/staging/production profiles
- Covers frontend, backend, database, caching, and microservice-style local testing
- Lifecycle operations: start, stop, rebuild, scale, and health monitoring
- Migration path from single-container apps to distributed local architectures
Adoption & trust: 1.6k installs on skills.sh; 58 GitHub stars; 1/3 security scanners passed (skills.sh audits).
What problem does it solve?
You have several containers to run together but no repeatable YAML stack for dependencies, networking, and persistence.
Who is it for?
Indie full-stack or API builders who want one declarative file for app, DB, cache, and workers on a single host or small cluster.
Skip if: Large Kubernetes-only estates or teams that need zero container orchestration and run everything on managed PaaS with no local parity.
When should I use this skill?
Building multi-container apps, local full-stack dev envs, service dependencies, networks, volumes, health checks, or compose lifecycle management.
What do I get? / Deliverables
You get production-oriented compose definitions and operational commands so the whole application starts reliably across dev and deployment targets.
- docker-compose.yml (and override files)
- Documented service topology with networks and volumes
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Builders first reach for Compose when standing up multi-service backends locally; the same files later support Ship prep and Operate-style lifecycle commands. Backend is the canonical shelf because the skill emphasizes service definitions, dependencies, volumes, and inter-service networking for application tiers.
Where it fits
Spin up API, Postgres, and Redis with named volumes for first local integration tests.
Add healthchecks and a staging profile before promoting the same compose file to a VPS.
Rebuild one service image and roll the stack without losing database volume data.
How it compares
Multi-service compose playbook, not a single Dockerfile generator or cloud-specific IaC module.
Common Questions / FAQ
Who is docker-compose-orchestration for?
Solo builders and tiny teams shipping containerized SaaS or APIs who want their agent to author and maintain Docker Compose stacks.
When should I use docker-compose-orchestration?
In Build when bootstrapping multi-service dev environments; in Ship when adding health checks and prod-like profiles; in Operate when rebuilding, scaling, or adjusting volumes on a running stack.
Is docker-compose-orchestration safe to install?
The skill may guide shell and filesystem changes for compose files and Docker commands; review the Security Audits panel on this Prism page before granting broad agent permissions.
SKILL.md
READMESKILL.md - Docker Compose Orchestration
# 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 ```yaml 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 ```yaml 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 ```yaml 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 ```yaml 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_isread