home / skills / partme-ai / full-stack-skills / docker-compose

docker-compose skill

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This skill helps you manage multi-container applications with Docker Compose by guiding service definitions, networking, and volumes.

npx playbooks add skill partme-ai/full-stack-skills --skill docker-compose

Review the files below or copy the command above to add this skill to your agents.

Files (2)

SKILL.md

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---
name: docker-compose
description: Provides comprehensive guidance for Docker Compose including multi-container applications, service definition, networking, and volumes. Use when the user asks about Docker Compose, needs to orchestrate multiple containers, define docker-compose services, or manage multi-container applications.
license: Complete terms in LICENSE.txt
---

## When to use this skill

Use this skill whenever the user wants to:
- [待完善：根据具体工具添加使用场景]

## How to use this skill

[待完善：根据具体工具添加使用指南]

## Best Practices

[待完善：根据具体工具添加最佳实践]

## Keywords

[待完善：根据具体工具添加关键词]

Overview

This skill provides practical, step-by-step guidance for using Docker Compose to define and run multi-container Docker applications. It covers service definitions, networking, volumes, environment configuration, and common orchestration patterns. The goal is to help you design reproducible, maintainable docker-compose.yml files and manage multi-container lifecycles efficiently.

How this skill works

The skill explains how to structure docker-compose.yml files including services, networks, and volumes, and how to override configuration with multiple compose files and environment files. It shows commands for lifecycle management (up, down, logs, exec), techniques for building and sharing images, and strategies for development versus production deployments. Troubleshooting tips and configuration examples make it easy to apply patterns to real projects.

When to use it

Orchestrating a local development environment with multiple dependent services (web, db, cache).
Defining container relationships, shared networks, and persistent volumes for an application stack.
Combining build-time image creation and runtime service composition in a single workflow.
Testing integration between services before deploying to Kubernetes or other orchestration systems.
Simplifying CI/CD steps that require starting multiple containers for tests or deployment previews.

Best practices

Keep docker-compose.yml readable: group related settings, use anchors or extension fields for repetition reduction.
Separate dev and prod configurations into multiple compose files and use docker-compose -f to combine them.
Use named volumes for persistent data and bind mounts for active development of source code.
Set explicit restart policies, resource limits, and healthchecks for production-like reliability.
Store secrets and credentials outside compose files using environment files, Docker secrets, or an external secrets manager.

Example use cases

Local development: launch a web app, database, and cache with a single docker-compose up command.
CI pipeline: start required services, run integration tests, then tear down containers automatically.
Migration: define services for a legacy stack and test data migration between containers using volumes.
Microservices sandbox: combine multiple small services with a shared network and simulate failure scenarios.
Build-and-deploy preview: build images locally and push them to a registry from a compose-driven workflow.

FAQ

Can Docker Compose be used in production?

Yes for simple production setups or small teams, but consider orchestrators like Kubernetes for large-scale, multi-host deployments.

How do I share environment-specific overrides?

Create separate override files (e.g., docker-compose.override.yml, docker-compose.prod.yml) and pass them with -f or use environment variables and .env files.

How do I persist database data?

Use named volumes in the compose file and avoid anonymous volumes; back up volumes regularly for production data safety.