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Create, generate, or write Dockerfiles and multi-stage Docker images. Containerize apps.
Dockerfile Generator
Overview
This skill provides a comprehensive workflow for generating production-ready Dockerfiles with security, optimization, and best practices built-in. Generates multi-stage builds, security-hardened configurations, and optimized layer structures with automatic validation and iterative error fixing.
Key Features:
Multi-stage builds for optimal image size (50-85% reduction)
Security hardening (non-root users, minimal base images, no secrets)
references/language_specific_guides.md for language/framework runtime and package-manager patterns.
references/multistage_builds.md for advanced stage-splitting and artifact-copy patterns.
Dockerfile Generation Workflow
Follow this workflow when generating Dockerfiles. Adapt based on user needs:
Stage 1: Gather Requirements
Objective: Understand what needs to be containerized and gather all necessary information.
Information to Collect:
Application Details:
Programming language and version (Node.js 18/20, Python 3.11/3.12, Go 1.21+, Java 17/21, etc.)
Application type (web server, API, CLI tool, batch job, etc.)
Framework (Express, FastAPI, Spring Boot, etc.)
Entry point (main file, command to run)
Dependencies:
Package manager (npm/yarn/pnpm, pip/poetry, go mod, maven/gradle)
System dependencies (build tools, libraries, etc.)
Build-time vs runtime dependencies
Application Configuration:
Port(s) to expose
Environment variables needed
Configuration files
Health check endpoint (for web services)
Volume mounts (if any)
Build Requirements:
Build commands
Test commands (optional)
Compilation needs (for compiled languages)
Static asset generation
Production Requirements:
Expected image size constraints
Security requirements
Scaling needs
Resource constraints (CPU, memory)
Use AskUserQuestion if information is missing or unclear.
Example Questions:
- What programming language and version is your application using?
- What is the main entry point to run your application?
- Does your application expose any ports? If so, which ones?
- Do you need any system dependencies beyond the base language runtime?
- Does your application need a health check endpoint?
Objective: Research framework-specific containerization patterns and best practices.
When to Perform This Stage:
User mentions a specific framework (Next.js, Django, FastAPI, Spring Boot, etc.)
Application has complex build requirements
Need guidance on framework-specific optimization
Research Process (strict fallback chain):
Read local references first (required):
references/security_best_practices.md
references/optimization_patterns.md
references/language_specific_guides.md
Use Context7 docs lookup when local references are insufficient (preferred external source):
Use mcp__context7__resolve-library-id with the framework name
Then use mcp__context7__query-docs with query:
"docker deployment production build"
Use web search only if Context7 is unavailable or missing needed details:
"<framework>" "<version>" dockerfile production deployment best practices
If external lookup is unavailable (offline/tooling limits):
Continue with local references and language templates in this file.
State assumptions explicitly in the output.
Mark the lookup limitation in the final report.
Extract only actionable data:
Recommended base image + version policy
Build optimization techniques
Required runtime environment variables
Production vs development differences
Security requirements specific to the framework
Stage 3: Generate Dockerfile
Objective: Create a production-ready, multi-stage Dockerfile following best practices.
Core Principles:
Multi-Stage Builds (REQUIRED for compiled languages, RECOMMENDED for all):
Separate build stage from runtime stage
Keep build tools out of final image
Copy only necessary artifacts
Results in 50-85% smaller images
Security Hardening (REQUIRED):
Use specific version tags (NEVER use :latest)
Run as non-root user (create dedicated user)
Use minimal base images (alpine, distroless)
No hardcoded secrets
Scan base images for vulnerabilities
Layer Optimization (REQUIRED):
Order instructions from least to most frequently changing
Copy dependency files before application code
Combine related RUN commands with &&
Clean up package manager caches in same layer
Leverage build cache effectively
Production Readiness (REQUIRED):
Add HEALTHCHECK for services
Use exec form for ENTRYPOINT/CMD
Set WORKDIR to absolute paths
Document exposed ports with EXPOSE
Language-Specific Templates:
Node.js Multi-Stage Dockerfile
Build-stage dependency rule: If the application has a build step (TypeScript,
Vite, Webpack, etc.), install all dependencies in the builder stage (omit
--only=production) and prune dev deps after the build. Using
--only=production before a build step will cause npm run build to fail
because dev tools are not installed.
# syntax=docker/dockerfile:1
# Build stage — installs all deps so build tools (tsc, vite, etc.) are available,
# then prunes dev deps so the production stage only ships what is needed at runtime.
FROM node:20-alpine AS builder
WORKDIR /app
# Copy dependency files for caching
COPY package*.json ./
# Install ALL dependencies (including devDependencies required by the build step)
RUN npm ci && \
npm cache clean --force
# Copy application code
COPY . .
# Build application and prune dev dependencies
RUN npm run build && \
npm prune --production
# Production stage
FROM node:20-alpine AS production
WORKDIR /app
# Set production environment
ENV NODE_ENV=production
# Create non-root user
RUN addgroup -g 1001 -S nodejs && \
adduser -S nodejs -u 1001
# Copy pruned node_modules and built application from builder
COPY --from=builder --chown=nodejs:nodejs /app/node_modules ./node_modules
COPY --from=builder --chown=nodejs:nodejs /app .
# Switch to non-root user
USER nodejs
# Expose port
EXPOSE 3000
# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD node -e "require('http').get('http://localhost:3000/health', (r) => {process.exit(r.statusCode === 200 ? 0 : 1)})"
# Start application
CMD ["node", "index.js"]
Simple app (no build step): If there is no compilation or bundling, install
only production deps in the builder stage and copy source from the host context:
RUN npm ci --only=production && npm cache clean --force
...
COPY --from=builder --chown=nodejs:nodejs /app/node_modules ./node_modules
COPY --chown=nodejs:nodejs . .
Python Multi-Stage Dockerfile
# syntax=docker/dockerfile:1
# Build stage
FROM python:3.12-slim AS builder
WORKDIR /app
# Install build dependencies
# hadolint ignore=DL3008
RUN apt-get update && apt-get install -y --no-install-recommends \
gcc \
&& rm -rf /var/lib/apt/lists/*
# Copy dependency files
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir --user -r requirements.txt
# Production stage
FROM python:3.12-slim AS production
WORKDIR /app
# Create non-root user
RUN useradd -m -u 1001 appuser
# Copy dependencies from builder
COPY --from=builder /root/.local /home/appuser/.local
# Copy application code
COPY --chown=appuser:appuser . .
# Update PATH and set Python production env vars
# PYTHONUNBUFFERED=1 ensures stdout/stderr are flushed immediately (essential for container logs)
# PYTHONDONTWRITEBYTECODE=1 prevents writing .pyc files to disk
ENV PATH=/home/appuser/.local/bin:$PATH \
PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1
# Switch to non-root user
USER appuser
# Expose port
EXPOSE 8000
# Health check (adjust endpoint as needed)
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health').read()" || exit 1
# Start application
CMD ["python", "app.py"]
Go Multi-Stage Dockerfile
# syntax=docker/dockerfile:1
# Build stage
FROM golang:1.21-alpine AS builder
WORKDIR /app
# Copy go mod files
COPY go.mod go.sum ./
RUN go mod download
# Copy source code
COPY . .
# Build the application
RUN CGO_ENABLED=0 GOOS=linux go build -a -ldflags="-s -w" -o main .
# Production stage (using distroless for minimal image)
# gcr.io/distroless/static-debian12 IS a specific tag; hadolint DL3006 is a
# false positive for non-Docker-Hub registries.
# hadolint ignore=DL3006
FROM gcr.io/distroless/static-debian12 AS production
WORKDIR /
# Copy binary from builder
COPY --from=builder /app/main /main
# Expose port
EXPOSE 8080
# HEALTHCHECK is not supported in distroless images (no shell available)
# Switch to non-root user (distroless runs as nonroot by default)
USER nonroot:nonroot
# Start application
ENTRYPOINT ["/main"]
Java Multi-Stage Dockerfile
# syntax=docker/dockerfile:1
# Build stage
FROM eclipse-temurin:21-jdk-jammy AS builder
WORKDIR /app
# Copy Maven wrapper and pom.xml
COPY mvnw pom.xml ./
COPY .mvn .mvn
# Download dependencies (cached layer)
RUN ./mvnw dependency:go-offline
# Copy source code
COPY src ./src
# Build application
RUN ./mvnw clean package -DskipTests && \
mv target/*.jar target/app.jar
# Production stage (using JRE instead of JDK)
FROM eclipse-temurin:21-jre-jammy AS production
WORKDIR /app
# Install healthcheck dependency and create non-root user
# hadolint ignore=DL3008
RUN apt-get update && apt-get install -y --no-install-recommends curl && \
rm -rf /var/lib/apt/lists/* && \
useradd -m -u 1001 appuser
# Copy JAR from builder
COPY --from=builder --chown=appuser:appuser /app/target/app.jar ./app.jar
# Switch to non-root user
USER appuser
# Expose port
EXPOSE 8080
# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=40s --retries=3 \
CMD curl -f http://localhost:8080/actuator/health || exit 1
# Start application
ENTRYPOINT ["java", "-jar", "app.jar"]
Selection Logic:
Node.js: Use for JavaScript/TypeScript applications
Python: Use for Python applications (web, API, scripts)
Go: Use for Go applications (excellent for minimal images)
Java: Use for Spring Boot, Quarkus, or other Java frameworks
Generic: Create custom Dockerfile for other languages
Always Include:
Syntax directive: # syntax=docker/dockerfile:1
Multi-stage build (build + production stages)
Non-root user creation and usage
HEALTHCHECK for services (if applicable)
Proper WORKDIR settings
EXPOSE for documented ports
Clean package manager caches
exec form for CMD/ENTRYPOINT
Stage 4: Generate .dockerignore
Objective: Create comprehensive .dockerignore to reduce build context and prevent secret leaks.
Always create .dockerignore with generated Dockerfile.
Node.js: ~50-150MB with Alpine (vs ~1GB with full node image)
Python: ~150-250MB with slim (vs ~900MB with full python image)
Go: ~5-20MB with distroless/scratch (vs ~800MB with full golang image)
Java: ~200-350MB with JRE (vs ~500MB+ with JDK)
Next steps (required):
## Next Steps
- [ ] Test the build locally: `docker build -t myapp:1.0 .`
- [ ] Run and verify the container works as expected
- [ ] Update CI/CD pipeline to use the new Dockerfile
- [ ] Consider BuildKit cache mounts for faster builds (see references/optimization_patterns.md)
- [ ] Set up automated vulnerability scanning with `docker scout` or `trivy`
- [ ] Push to registry and deploy
Generation Scripts (Optional Reference)
The scripts/ directory contains standalone bash scripts for manual Dockerfile generation outside of this skill:
generate_nodejs.sh - CLI tool for Node.js Dockerfiles
generate_python.sh - CLI tool for Python Dockerfiles
generate_golang.sh - CLI tool for Go Dockerfiles
generate_java.sh - CLI tool for Java Dockerfiles
generate_dockerignore.sh - CLI tool for .dockerignore generation
Purpose: These scripts are reference implementations and manual tools for users who want to generate Dockerfiles via command line without using skill invocation. They demonstrate the same best practices embedded in this skill.
When using this skill: Codex generates Dockerfiles directly using the templates and patterns documented in this SKILL.md, rather than invoking these scripts. The templates in this document are the authoritative source.
# Bad
FROM node:alpine
# Good
FROM node:20-alpine
# Better (with digest for reproducibility)
FROM node:20-alpine@sha256:abc123...
Run as Non-Root:
# Create user
RUN addgroup -g 1001 -S appgroup && \
adduser -S appuser -u 1001 -G appgroup
# Switch to user before CMD
USER appuser
Use Minimal Base Images:
Alpine Linux (small, secure)
Distroless (no shell, minimal attack surface)
Specific runtime images (node:alpine vs node:latest)
Never Hardcode Secrets:
# Bad
ENV API_KEY=secret123
# Good - use build secrets
# docker build --secret id=api_key,src=.env
RUN --mount=type=secret,id=api_key \
API_KEY=$(cat /run/secrets/api_key) ./configure
Optimization Best Practices
Layer Caching:
# Copy dependency files first
COPY package.json package-lock.json ./
RUN npm ci
# Copy application code last
COPY . .
Combine RUN Commands:
# Bad (creates 3 layers)
RUN apt-get update
RUN apt-get install -y curl
RUN rm -rf /var/lib/apt/lists/*
# Good (creates 1 layer)
RUN apt-get update && \
apt-get install -y --no-install-recommends curl && \
rm -rf /var/lib/apt/lists/*
Multi-Stage Builds:
# Build stage - can be large
FROM node:20 AS builder
WORKDIR /app
COPY . .
RUN npm install && npm run build
# Production stage - minimal
FROM node:20-alpine
COPY --from=builder /app/dist ./dist
CMD ["node", "dist/index.js"]
# syntax=docker/dockerfile:1
FROM golang:1.21-alpine AS builder
WORKDIR /app
COPY go.* ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 go build -ldflags="-s -w" -o /bin/app
FROM scratch
COPY --from=builder /bin/app /app
ENTRYPOINT ["/app"]
Modern Docker Features (2025)
Multi-Platform Builds with BuildX
Use Case: Build images that work on both AMD64 and ARM64 architectures (e.g., x86 servers and Apple Silicon Macs).
Enable BuildX:
# BuildX is included in Docker Desktop by default# For Linux, ensure BuildX is installed
docker buildx version
Create Multi-Platform Images:
# Build for multiple platforms
docker buildx build \
--platform linux/amd64,linux/arm64 \
-t myapp:latest \
--push \
.
# Build and load for current platform (testing)
docker buildx build \
--platform linux/amd64 \
-t myapp:latest \
--load \
.
Dockerfile Considerations:
# Most Dockerfiles work across platforms automatically
# Use platform-specific base images when needed
FROM --platform=$BUILDPLATFORM node:20-alpine AS builder
# Access build arguments for platform info
ARG TARGETPLATFORM
ARG BUILDPLATFORM
RUN echo "Building on $BUILDPLATFORM for $TARGETPLATFORM"
When to Use:
Deploying to mixed infrastructure (x86 + ARM)
Supporting Apple Silicon Macs in development
Optimizing for AWS Graviton (ARM-based) instances
Building cross-platform CLI tools
Software Bill of Materials (SBOM)
Use Case: Generate SBOM for supply chain security and compliance (increasingly required in 2025).
Generate SBOM During Build:
# Generate SBOM with BuildKit (Docker 24.0+)
docker buildx build \
--sbom=true \
-t myapp:latest \
.
# SBOM is attached as attestation to the image# View SBOM
docker buildx imagetools inspect myapp:latest --format "{{ json .SBOM }}"
Generate SBOM from Existing Image:
# Using Syft
syft myapp:latest -o json > sbom.json
# Using Docker Scout
docker scout sbom myapp:latest
Use Case: Dramatically faster builds by persisting package manager caches across builds.
Already covered in detail in references/optimization_patterns.md.
Quick reference:
# syntax=docker/dockerfile:1
# NPM cache mount (30-50% faster builds)
RUN --mount=type=cache,target=/root/.npm \
npm ci
# Go module cache
RUN --mount=type=cache,target=/go/pkg/mod \
go mod download
# Pip cache
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r requirements.txt