Dockerfile Generate
Generate optimized Dockerfile with multi-stage builds
- Type
- Slash Command
- Repository
- jeremylongshore/tons-of-skills-marketplace
- GitHub stars
- 2.8k
- License
- MIT
- Repo last updated
- Sep 27, 2026
What Dockerfile Generate is
Dockerfile Generate is a slash command published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”
A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.
Dockerfile Generate gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.
How to install Dockerfile Generate
Claude Code
- Download dockerfile-generate.md from the repository.
- Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
- Run it by typing / followed by its name.
Claude Cowork
- Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
- In Customize → Skills, click +, then upload the ZIP.
- Run it from any task with / and the skill name.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from plugins/packages/devops-automation-pack/plugins/03-docker/commands/dockerfile-generate.md, shared under the repository's MIT license. Read the full file on GitHub.
Automatically generates production-ready Dockerfiles with multi-stage builds, security hardening, and optimizations based on your project type.
When to Use This
- Starting new project containerization
- Existing image is bloated (>500MB for simple app)
- Want production-ready Docker setup
- Need security best practices (non-root user)
- Complex multi-service setup (use /docker-compose-create instead)
How It Works
You are a Docker expert. When user runs /dockerfile-generate or /dg:
- Detect project type:
# Check for language-specific files
package.json → Node.js
requirements.txt → Python
go.mod → Go
pom.xml → Java
Gemfile → Ruby
Cargo.toml → Rust- Ask key questions:
- Application entry point? (main.js, app.py, etc.)
- Exposed port? (default: 3000, 8000, 8080)
- Build step required? (TypeScript, compiled languages)
- Health check endpoint? (e.g., /health, /api/health)
- Generate optimized Dockerfile:
- Multi-stage build (if applicable)
- Minimal base image (alpine, slim, distroless)
- Non-root user
- Proper layer caching
- Health check
- Security best practices
- Create .dockerignore:
- Exclude node_modules, venv, build artifacts
- Exclude .git, .env, secrets
- Reduce build context size
- Provide build instructions:
- How to build image
- How to run container
- How to verify optimization
Output Format
# Dockerfile
[Complete optimized Dockerfile with comments]# .dockerignore
[Complete file]## Build Instructions
### Build:docker build -t app-name:latest .
### Run:docker run -p 3000:3000 app-name:latest
### Verify size:docker images app-name:latest
## Expected Results
- Image Size: ~150-200MB (Node.js/Python)
- Image Size: ~10-50MB (Go/Rust)
- Build Time: <2 minutes
- Security: Non-root user, minimal baseExamples
Example 1: Node.js Express API
User: /dg (in Node.js project with package.json)
Questions:
- Entry point? → src/index.js
- Port? → 3000
- Build step? → Yes, TypeScript compilation
- Health endpoint? → /health
Output:
# Multi-stage Dockerfile for Node.js Express API
# Optimized for production: ~150MB final image
# Stage 1: Build environment
FROM node:20-alpine AS builder
WORKDIR /app
# Copy dependency files first (better caching)
COPY package*.json ./
# Install all dependencies (including dev deps for build)
RUN npm ci
# Copy source code
COPY . .
# Build TypeScript
…# .dockerignore
node_modules
dist
build
npm-debug.log
.env
.env.local
.git
.gitignore
*.md
.vscode
.idea
.DS_Store
coverage
.nyc_outputExample 2: Python Flask API
User: /dg (in Python project with requirements.txt)
Questions:
- Entry point? → app.py
- Port? → 8000
- Build step? → No
- Health endpoint? → /api/health
Output:
# Optimized Dockerfile for Python Flask API
# Production-ready: ~120MB final image
FROM python:3.11-slim AS production
# Prevent Python from buffering stdout/stderr
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1
# Create non-root user
RUN groupadd -g 1001 appuser && \
useradd -r -u 1001 -g appuser appuser
WORKDIR /app
# Install system dependencies (if needed)
# RUN apt-get update && apt-get install -y --no-install-recommends \
# gcc \
…# .dockerignore
__pycache__
*.pyc
*.pyo
*.pyd
.Python
env
venv
.venv
.env
.git
.gitignore
*.md
.vscode
.pytest_cache
.coverage
htmlcovExample 3: Go API (Static Binary)
User: /dg (in Go project with go.mod)
Questions:
- Entry point? → cmd/api/main.go
- Port? → 8080
- Build step? → Yes, Go compilation
- Health endpoint? → /health
Output:
# Multi-stage Dockerfile for Go API
# Produces tiny static binary: ~10-15MB
# Stage 1: Build environment
FROM golang:1.21-alpine AS builder
WORKDIR /app
# Copy go mod files first (better caching)
COPY go.mod go.sum ./
RUN go mod download
# Copy source code
COPY . .
# Build static binary
RUN CGO_ENABLED=0 GOOS=linux go build -a -installsuffix cgo -o api ./cmd/api
… Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Dockerfile Generate?
Dockerfile Generate is a slash command for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Generate optimized Dockerfile with multi-stage builds
How do I install Dockerfile Generate in Claude Code?
Download dockerfile-generate.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name.
Can I use Dockerfile Generate in Claude Cowork?
Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.
Is Dockerfile Generate safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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