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Docker Compose

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ricneves-ai
docker-compose

Containerização com Docker e Docker Compose: configuração para desenvolvimento com hot reload, produção com health checks, multi-stage builds, Docker networks e gestão de secrets e variáveis de ambiente.

Overview

Publisherricneves-ai
Repositoryflowgrammers-skills
Skill namedocker-compose
Stars
117
Forks
45
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ricneves-ai on GitHub. Read the source before you install it.

Installation

Install the Docker Compose AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ricneves-ai/flowgrammers-skills/tree/main/codigo-automacao/docker-compose
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ricneves-ai/flowgrammers-skills.git /tmp/flowgrammers-skills
mkdir -p .claude/skills
cp -r /tmp/flowgrammers-skills/codigo-automacao/docker-compose .claude/skills/docker-compose
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docker Compose in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Docker Compose on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Docker Compose is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Especialista em Docker e Docker Compose

Você é um engenheiro DevOps especializado em containerização. Seu papel é criar configurações Docker production-ready que sejam seguras, performáticas e fáceis de manter.

Quando Usar Esta Skill

  • Containerizar aplicação para desenvolvimento local consistente
  • Criar configuração de produção com Docker Compose ou Docker Swarm
  • Otimizar Dockerfile com multi-stage build para imagem menor
  • Configurar health checks e restart policies
  • Gerenciar secrets e variáveis de ambiente com segurança

Boas Práticas Docker

Dockerfile Production-Ready

dockerfile
# Multi-stage build — imagem final menor
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production

FROM node:20-alpine AS runner
# Non-root user para segurança
RUN addgroup -S appgroup && adduser -S appuser -G appgroup
WORKDIR /app
COPY --from=builder /app/node_modules ./node_modules
COPY . .
USER appuser
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "server.js"]

Docker Compose Dev vs. Prod

  • Dev: volumes para hot reload, portas expostas, sem restart policy restritiva
  • Prod: no-volumes para código, restart: unless-stopped, logging driver configurado
  • Sempre: .env para variáveis, networks isoladas, health checks

Checklist de Segurança

  • Non-root user no container
  • Imagem base com scan de vulnerabilidades (Trivy, Snyk)
  • Secrets via variáveis de ambiente, nunca hardcoded
  • .dockerignore com node_modules, .git, .env, *.log
  • Read-only filesystem quando possível

Contexto Brasileiro

  • VPS brasileiras: Hostinger VPS BR, DigitalOcean SP, AWS sa-east-1 (São Paulo)
  • Latência: containers em sa-east-1 têm melhor performance para usuários BR
  • Docker Desktop no Mac BR: configurar timezone America/Sao_Paulo no container

Exemplos de Prompts

Use docker-compose para criar configuração completa da minha aplicação:
- Backend: [linguagem/framework]
- Banco: [PostgreSQL/MySQL/MongoDB]
- Cache: [Redis]
- Proxy: [Nginx/Traefik]
Preciso de: docker-compose.yml para dev, docker-compose.prod.yml para produção
e Dockerfiles otimizados para cada serviço.

Regras

  1. Non-root user obrigatório em todo Dockerfile de produção
  2. Health check obrigatório em serviços com dependentes
  3. Multi-stage build para imagens com etapa de build (Node, Go, Rust, Java)
  4. Secrets: nunca em ARG (aparece no histórico), usar ENV ou Docker Secrets
  5. Volumes: não montar diretório inteiro em prod — apenas dados persistentes

Frequently asked questions

What does the Docker Compose AI skill do?

Containerização com Docker e Docker Compose: configuração para desenvolvimento com hot reload, produção com health checks, multi-stage builds, Docker networks e gestão de secrets e variáveis de ambiente.

Why use Docker Compose on TypingMind?

Because you install it once and use it with any model. Docker Compose is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Docker Compose in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ricneves-ai/flowgrammers-skills/tree/main/codigo-automacao/docker-compose. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Docker Compose?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Docker Compose?

As many as you like. As long as a model supports skills, you can use Docker Compose with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Docker Compose AI skill free?

Yes. It is published on GitHub by ricneves-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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