An intelligent utility that automatically generates optimized, multi-stage Dockerfiles based on your project's specific application type and language requirements.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dockerfile-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install dockerfile-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Dockerfile Generator?
The Dockerfile Generator is a specialized component within the Openclaw Skills ecosystem designed to eliminate the manual overhead of writing container configurations. It intelligently detects the programming language and framework of your project—whether it's Node.js, Python, Go, or Java—and produces a Dockerfile that adheres to industry best practices.
By focusing on performance and security, this skill ensures that your containers are built using the most efficient base images and optimized layering techniques. It serves as a bridge for developers who want to containerize their applications quickly without needing to master the intricacies of Docker syntax or multi-stage build optimization.
Dockerfile Generator Use Cases
- Rapidly containerizing a new or existing microservice for deployment.
- Implementing multi-stage builds to reduce image size for compiled languages like Go and Java.
- Standardizing Docker configurations across multiple development teams using Openclaw Skills.
- Migrating legacy applications to cloud-native environments with optimized container definitions.
How Dockerfile Generator Works
- The user triggers the skill using natural language commands like "containerize" or "generate Dockerfile".
- The skill analyzes the project directory to identify dependencies (e.g., package.json, requirements.txt, or go.mod).
- It selects a language-specific template optimized for production use.
- A multi-stage build process is applied where necessary to separate the build environment from the runtime environment.
- The final, optimized Dockerfile is generated and placed in the project root.
Dockerfile Generator Setup
To use the Dockerfile Generator, ensure your AI agent is configured with the Openclaw Skills repository. You can activate the generation process through simple CLI-style triggers or natural language prompts within your supported IDE environment. No additional external dependencies are required beyond the standard agent setup.
Dockerfile Generator Data Schema & Taxonomy
The skill processes project metadata to determine the build environment requirements. It organizes the output based on the following taxonomy:
| Attribute | Description |
|---|---|
| Language Support | Node.js, Python, Go, Java, and more |
| Build Strategy | Defaulting to Multi-stage builds for minimal image size |
| Image Base | Uses Alpine-based or Slim variants for security and speed |
| Metadata | Automatic EXPOSE port detection and CMD configuration |
Dockerfile Generator Advanced Features
- Support for complex multi-stage build logic to minimize production image footprint.
- Automatic injection of production-only dependency installation commands.
- Cross-language detection to handle polyglot project environments within Openclaw Skills.
- Performance tuning through optimized layer caching strategies.
SKILL.md
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