A comprehensive utility for AI agents to automate Dockerfile generation, multi-container orchestration, and image optimization.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install docker-helper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install docker-helper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Docker Helper is a specialized toolset designed to empower AI coding agents with deep containerization capabilities. As an essential addition to Openclaw Skills, it simplifies the creation and management of Docker environments by providing structured commands for configuration, debugging, and optimization. It is particularly effective for developers who need to move quickly from source code to a production-ready containerized state.
This skill bridges the gap between high-level application logic and low-level container configuration. By leveraging Docker Helper within Openclaw Skills, users can ensure their containers are built following modern security and performance standards, including optimized layer management and multi-stage build processes.
To integrate this capability into your workflow, ensure your environment supports Openclaw Skills. You can test the installation with the following commands:
# Display help and available subcommands
docker-helper help
# Initialize the helper for your current project
docker-helper run
Docker Helper manages data through a structured set of commands and configuration templates. The output typically includes:
| Data Type | Description |
|---|---|
| Configuration | Generates Dockerfile, docker-compose.yml, and .dockerignore files. |
| Commands | Provides specific CLI strings for build, debug, and registry operations. |
| Diagnostics | Returns structured logs and error analysis during the debug phase. |
| Optimization Reports | Suggestions for reducing layer count and image footprint. |
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