docker-patterns
Enables your agent to use Docker and Docker Compose patterns for development and orchestration. It's useful for creating or reviewing Dockerfiles, services, and ensuring container security.
What it does
This resource provides ready-to-use examples and configurations for Docker and Docker Compose. It helps organize and run containerized applications, simplifying local development and deployment.
When to use it
- ✓When starting a new project that will use containers.
- ✓When setting up a local development environment with multiple services (like a database and web server).
- ✓When reviewing or optimizing how your application is packaged into a container.
Example of what to ask your AI
“Show me an example of how to set up a PostgreSQL database and a Node.js application to run together using Docker Compose.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It works by offering configuration file templates (like `docker-compose.yml` and `Dockerfile`) that you can adapt. These templates demonstrate best practices for different parts of your project, such as networking, data storage, and security.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill docker-patternsOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/pi/core/skills/docker-patterns/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Docker Patterns
Docker and Docker Compose best practices for containerized development.
Docker Compose for Local Development
Standard Web App Stack
# docker-compose.yml
services:
app:
build:
context: .
target: dev # Use dev stage of multi-stage Dockerfile
ports:
- "3000:3000"
volumes:
- .:/app # Bind mount for hot reload
- /app/node_modules # Anonymous volume -- preserves container deps
environment:
- DATABASE_URL=postgres://postgres:postgres@db:5432/app_dev
- REDIS_URL=redis://redis:6379/0
- NODE_ENV=development
depends_on:
db:
condition: service_healthy
redis:
condition: service_started
command: npm run dev
db:
image: postgres:16-alpine
ports:
- "5432:5432"
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: app_dev
volumes:
- pgdata:/var/lib/postgresql/data
- ./scripts/init-db.sql:/docker-entrypoint-initdb.d/init.sql
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 5s
timeout: 3s
retries: 5
redis:
image: redis:7-alpine
ports:
- "6379:6379"
volumes:
- redisdata:/data
mailpit: # Local email testing
image: axllent/mailpit
ports:
- "8025:8025" # Web UI
- "1025:1025" # SMTP
volumes:
pgdata:
redisdata:
Development vs Production Dockerfile
# Stage: dependencies
FROM node:22-alpine AS deps
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci
# Stage: dev (hot reload, debug tools)
FROM node:22-alpine AS dev
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
EXPOSE 3000
CMD ["npm", "run", "dev"]
# Stage: build
FROM node:22-alpine AS build
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN npm run build && npm prune --production
# Stage: production (minimal image)
FROM node:22-alpine AS production
WORKDIR /app
RUN addgroup -g 1001 -S appgroup && adduser -S appuser -u 1001
USER appuser
COPY --from=build --chown=appuser:appgroup /app/dist ./dist
COPY --from=build --chown=appuser:appgroup /app/node_modules ./node_modules
COPY --from=build --chown=appuser:appgroup /app/package.json ./
ENV NODE_ENV=production
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/server.js"]
Override Files
# docker-compose.override.yml (auto-loaded, dev-only settings)
services:
app:
environment:
- DEBUG=app:*
- LOG_LEVEL=debug
ports:
- "9229:9229" # Node.js debugger
# docker-compose.prod.yml (explicit for production)
services:
app:
build:
target: production
restart: always
deploy:
resources:
limits:
cpus: "1.0"
memory: 512M
# Development (auto-loads override)
docker compose up
# Production
docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d
Networking
Service Discovery
Services in the same Compose network resolve by service name:
# From "app" container:
postgres://postgres:postgres@db:5432/app_dev # "db" resolves to the db container
redis://redis:6379/0 # "redis" resolves to the redis container
Custom Networks
services:
frontend:
networks:
- frontend-net
api:
networks:
- frontend-net
- backend-net
db:
networks:
- backend-net # Only reachable from api, not frontend
networks:
frontend-net:
backend-net:
Exposing Only What's Needed
services:
db:
ports:
- "127.0.0.1:5432:5432" # Only accessible from host, not network
# Omit ports entirely in production -- accessible only within Docker network
Volume Strategies
volumes:
# Named volume: persists across container restarts, managed by Docker
pgdata:
# Bind mount: maps host directory into container (for development)
# - ./src:/app/src
# Anonymous volume: preserves container-generated content from bind mount override
# - /app/node_modules
Common Patterns
services:
app:
volumes:
- .:/app # Source code (bind mount for hot reload)
…
FAQ
What are Docker and Docker Compose?
Docker is a technology that packages applications into isolated 'containers'. Docker Compose is a tool for defining and running multi-container applications.
Why use `target: dev` in a Dockerfile?
This allows you to use a specific part of the Dockerfile optimized for development, such as enabling automatic code reloading (hot reload) and debugging tools, without including all of that in the final application version.
What are volumes in Docker?
Volumes are used to persist data generated by containers. They ensure that important information (like database data) is not lost when the container is restarted or removed.
Details
Original description by the author
Docker and Docker Compose patterns for local development, hardened CLI installer harnesses, container security, networking, volumes, and multi-service orchestration. Use when creating or reviewing Dockerfiles and Compose services, testing installers across Linux distributions, or planning accurate native macOS and Windows validation.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #48
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
accessibility
Helps your agent create interfaces that everyone can use. Ensures websites and apps work well for people with disabilities, like those who are blind or have reduced mobility.
affaan-m/ECC
agent-architecture-audit
Makes your agent check if everything is working correctly. It finds and fixes problems in AI systems, ensuring they perform as expected.
affaan-m/ECC
agent-eval
Helps your agent compare different AI coding tools. It measures which one is faster, cheaper, and more reliable for specific tasks.
affaan-m/ECC
agent-harness-construction
Makes your agent better understand how to perform tasks. It optimizes the tools and instructions the agent uses to increase its chances of success.
affaan-m/ECC
Similar skills
git-workflow-and-versioning
Organizes code work using Git. Helps save progress, manage different versions, and avoid conflicts when working in a team.
addyosmani/agent-skills
observability-and-instrumentation
Adds tools to monitor what the code does in production. Helps understand if something went wrong and why, making fixes easier.
addyosmani/agent-skills
github-pr-workflow
Prepares GitHub pull requests, ensuring code quality and documentation.
paperclipai/paperclip