A multimodal AI tool that analyzes images, charts, and screenshots to generate precise business-oriented descriptions using leading vision models.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install minimax-image-understanding
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-image-understanding using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
MiniMax Image Understanding is a specialized component within the Openclaw Skills ecosystem designed to bridge the gap between visual data and actionable business intelligence. It utilizes state-of-the-art multimodal large language models (VLM) to interpret the contents of images, such as screenshots, complex charts, and document photos. Unlike basic OCR tools, this skill focuses on the underlying business logic and semantic meaning of the visual input.
By integrating this skill into your workflow, you can automate the interpretation of visual assets. It supports a variety of backends including MiniMax VLM, OpenAI GPT-4V, and Claude Vision, ensuring flexibility and high accuracy for different use cases. As a core part of your Openclaw Skills library, it provides a standardized way to feed visual context into your AI agents.
To use this skill, you must configure at least one API key for the supported models. Set your environment variables as follows:
# For MiniMax (Default, recommended for Chinese language content)
export MINIMAX_API_KEY="your-minimax-key"
export MINIMAX_API_HOST="https://api.minimaxi.com"
# For OpenAI GPT-4V
export OPENAI_API_KEY="your-openai-key"
# For Anthropic Claude Vision
export ANTHROPIC_API_KEY="your-anthropic-key"
Execute the skill via the command line:
python3 ~/.openclaw/workspace/skills/minimax-image-understanding/scripts/understand_image.py <image_path> [model] [prompt]
The skill handles diverse visual inputs and produces standardized text outputs for easy integration within Openclaw Skills pipelines.
| Input Component | Details |
|---|---|
| Supported Formats | PNG, JPG, JPEG, GIF, WebP |
| Model Options | minimax, openai, anthropic |
| Output Format | Plain text / Markdown business description |
| Metadata | Focuses on data trends and logical content |
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