A professional-grade image generation skill that transforms text descriptions into high-fidelity visual assets using the MiniMax image-01 model.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install minimax-imagegen
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 minimax-imagegen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The MiniMax Image Generation skill is a specialized visual design engine for Openclaw Skills designed to act as a professional prompt engineer and designer. It bridges the gap between simple user requests and the complex requirements of high-end image models, ensuring that every output is contextually relevant, aesthetically polished, and technically precise. Whether you need a hero image for a developer portfolio or a vibrant app icon, this skill automates the heavy lifting of composition, lighting, and style selection.
By leveraging the MiniMax image-01 model, the skill provides expert-level control over photography styles, cinematic lighting, and modern tech aesthetics. It is particularly effective for developers and content creators who need consistent, high-quality imagery for web projects, marketing materials, and UI mockups without needing to manually tune every parameter.
To enable this skill, ensure your environment is configured with your MiniMax API credentials:
export MINIMAX_API_KEY='your_api_key_here'
The skill will automatically utilize this key to authenticate requests to the image-01 model within Openclaw Skills.
The skill organizes its output and tracking through the following structures:
| Data Component | Format | Description |
|---|---|---|
| Storage Path | ~/.openclaw/workspace/images/ |
Default directory for all generated .png or .jpg files |
| Model Parameters | JSON | Includes model, prompt, aspect_ratio, and n |
| Reference Links | URI/Base64 | Support for subject_reference to maintain character consistency |
| Prompt History | Markdown | Full history of engineered prompts and quality boosters provided for iteration |
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