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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    Docker Production Pro

    1

    Generate ultra-lean (<100MB), secure multi-stage Dockerfiles and compose setups with optimized layer caching.

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    docker-production-pro

    docker-production-pro

    Example session with this skill installed

    Dockerize my Node.js Express API. I use pnpm and need to connect to a Postgres database. Make sure it is secure and small for production.

    • Read your context and instructions
    • Compiled the docker-production-pro

    I have analyzed your Node.js Express stack. I've implemented a multi-stage build using node:20-bookworm-slim to minimize size, configured pnpm with store pruning, and set up a non-root user for execution.

    Production Configuration

    
    # Stage 1: Builder
    FROM node:20-bookworm-slim AS builder
    ENV PNPM_HOME="/pnpm"
    ENV PATH="$PNPM_HOME:$PATH"
    RUN corepack enable
    WORKDIR /app
    COPY pnpm-lock.yaml package.json ./
    RUN --mount=type=cache,id=pnpm,target=/pnpm/store pnpm install --frozen-lockfile
    COPY . .
    RUN pnpm run build
    
    # Stage 2: Runtime
    FROM node:20-bookworm-slim
    RUN groupadd -g 10001 appgroup && \
        useradd -u 10001 -g appgroup -s /bin/sh -m appuser
    WORKDIR /app
    COPY --from=builder --chown=appuser:appgroup /app/dist ./dist
    COPY --from=builder --chown=appuser:appgroup /app/node_modules ./node_modules
    COPY --from=builder --chown=appuser:appgroup /app/package.json ./package.json
    
    USER appuser
    EXPOSE 3000
    HEALTHCHECK --interval=30s --timeout=3s \
      CMD node -e "fetch('http://localhost:3000/health').then(r => r.ok ? process.exit(0) : process.exit(1))"
    CMD ["node", "dist/index.js"]
    
    
    # docker-compose.yml
    version: '3.8'
    services:
      api:
        build: .
        restart: always
        environment:
          - DATABASE_URL=postgres://user:pass@db:5432/app
        depends_on:
          db:
            condition: service_healthy
        networks:
          - backend
        deploy:
          resources:
            limits:
              cpus: '0.5'
              memory: 512M
    
      db:
        image: postgres:16-alpine
        healthcheck:
          test: ["CMD-SHELL", "pg_isready -U user -d app"]
          interval: 10s
          timeout: 5s
          retries: 5
        networks:
          - backend
        volumes:
          - pgdata:/var/lib/postgresql/data
    
    networks:
      backend:
        driver: bridge
    
    volumes:
      pgdata:
    

    Next steps

    1. Create a .dockerignore file containing node_modules, .git, and .env.
    2. Run docker compose up --build -d to start the stack.
    3. Check the image size using docker images to verify the slim footprint.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The Problem

    AI coding agents frequently generate bloated, unoptimized, and insecure Dockerfiles. They typically result in 1.5GB+ container images, broken layer caching that forces 10-minute rebuilds, missing healthchecks, and dangerous root-user execution that exposes your infrastructure to vulnerabilities.

    What Docker Production Pro Does

    • Ultra-Lean Multi-Stage Builds: Generates minimal runtime images (often <100MB) using Alpine or Distroless bases, slashing deployment times and bandwidth costs.
    • Deterministic Layer Caching: Structures dependency installation and code copies perfectly so rebuilds take seconds instead of minutes.
    • Zero-Trust Security Hardening: Enforces non-root users, drops unnecessary Linux capabilities, and generates bulletproof .dockerignore files to prevent secret leakage.
    • Production-Ready Compose & Healthchecks: Crafts resilient docker-compose.yml configs with healthchecks, graceful shutdown handling, and resource limits.

    Supported Stacks

    Works flawlessly across Python (FastAPI, Django, Flask), Node.js / Bun / Next.js, Go, Rust, and PostgreSQL / Redis architectures in Claude Code, Cursor, and Codex.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Trust & safety

    Security scanned

    Verified clean 13 days ago

    • Passed all security checks, Safe to install

    Requires

    Python

    Listed17 days ago
    Updated13 days ago

    What's inside

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