MiniMax Image Understanding for Openclaw

A multimodal AI tool that analyzes images, charts, and screenshots to generate precise business-oriented descriptions using leading vision models.

aidescend
v1.0.0
Mar 8, 2026
0
1.7k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install minimax-image-understanding

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is MiniMax Image Understanding?

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.

MiniMax Image Understanding Use Cases

  • Automated analysis of business dashboards and data charts to extract performance trends.
  • Interpreting screenshots of software interfaces for automated QA and documentation.
  • Converting visual document photographs into structured business descriptions.
  • Enhancing AI agent context by providing visual understanding of the current environment or UI state.

How MiniMax Image Understanding Works

  1. The user provides a local path to an image file (PNG, JPG, WebP, etc.) and optionally specifies a model and custom prompt.
  2. The skill identifies the target multimodal provider based on the provided arguments or defaults to MiniMax.
  3. The image is processed and sent to the respective AI model endpoint (MiniMax, OpenAI, or Anthropic).
  4. The model analyzes the visual elements, focusing on business context rather than just spatial coordinates.
  5. The skill returns a concise, logic-driven textual description that can be used by other agents in the Openclaw Skills workflow.

MiniMax Image Understanding Setup

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]

MiniMax Image Understanding Data Schema & Taxonomy

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

MiniMax Image Understanding Advanced Features

  • Multi-Model Fallback: Choose between MiniMax, GPT-4V, or Claude Vision based on specific visual complexity.
  • Custom Prompting: Pass specific instructions to the VLM to focus on particular data points or UI elements.
  • Local File Processing: Securely handles local image paths within the Openclaw Skills workspace.
  • Business Logic Focus: Optimized to ignore irrelevant UI clutter and focus on high-value data interpretation.

SKILL.md


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