Docker and Docker Compose patterns for local development, multi-service orchestration, and container security.
Works with
Covers multi-stage Dockerfiles with dev, build, and production targets; Docker Compose configuration for web app stacks with PostgreSQL, Redis, and Mailpit; and override files for environment-specific settings
Includes service discovery via container networking, custom network isolation, and volume strategies (named volumes, bind mounts, anonymous volumes) for data persistence
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondocker-patternsExecute the skills CLI command in your project's root directory to begin installation:
Fetches docker-patterns from affaan-m/everything-claude-code 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-patterns. Access via /docker-patterns 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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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Docker and Docker Compose best practices for containerized development.
# 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:
# 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 /app/node_modules ./node_modules
COPY . .
EXPOSE 3000
CMD ["npm", "run", "dev"]
# Stage: build
FROM node:22-alpine AS build
WORKDIR /app
COPY /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 /app/dist ./dist
COPY /app/node_modules ./node_modules
COPY /app/package.json ./
ENV NODE_ENV=production
EXPOSE 3000
HEALTHCHECK CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/server.js"]
# 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
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
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:
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
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
services:
app:
volumes:
- .:/app # Source code (bind mount for hot reload)
- /app/node_modules # Protect container's node_modules from host
- /app/.next # Protect build cache
db:
volumes:
- pgdata:/var/lib/postgresql/data # Persistent data
- ./scripts/init.sql:/docker-entrypoint-initdb.d/init.sql # Init scripts
# 1. Use specific tags (never :latest)
FROM node:22.12-alpine3.20
# 2. Run as non-root
Prerequisites
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.
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
Useful defaults in docker-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for docker-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: docker-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
docker-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: docker-patterns is focused, and the summary matches what you get after install.
Registry listing for docker-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
docker-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added docker-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: docker-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend docker-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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