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vision-analysis

vision-analysis

github.com/minimax-aiCreative & media13.7k2.7k installsUpdated 28w ago
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About vision-analysis

vision-analysis is a skill that analyzes images through MiniMax's image-understanding tool. It supports descriptions, OCR, UI reviews, chart extraction, and object detection, and guides setup of the required MiniMax MCP configuration.

Key features

  1. 01Offers five image analysis modes
  2. 02Extracts text from screenshots and documents
  3. 03Reviews interface mockups with suggestions
  4. 04Retrieves chart data and trends
  5. 05Provides MCP setup guidance by environment

Use cases

  1. 01Describing image content and composition
  2. 02Transcribing text from screenshots or documents
  3. 03Finding usability issues in interface mockups
  4. 04Summarizing chart data and trends

MCP support

The skill calls MiniMax MCP's `MiniMax_understand_image` tool to analyze images. It requires MiniMax MCP configuration and a valid Token Plan API key.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/minimax-ai/skills --skill vision-analysis

After installing, type/vision-analysisin Claude Code to confirm it loaded.

Details

From the project README

Vision Analysis

Analyze images using the MiniMax MiniMax_understand_image MCP tool available in the MiniMax Token Plan.

Prerequisites

  • MiniMax Token Plan subscription with valid MINIMAX_API_KEY
  • MiniMax MCP configured (MiniMax_understand_image tool available)
If MCP tool is not configured

Step 1: The agent should fetch setup instructions from: https://platform.minimaxi.com/docs/token-plan/mcp-guide

Step 2: Detect the user's environment (OpenCode, Cursor, Claude Code, etc.) and output the exact commands needed. Common examples:

OpenCode — add to ~/.config/opencode/opencode.json or package.json:

{
  "mcp": {
    "MiniMax": {
      "type": "local",
      "command": ["uvx", "minimax-coding-plan-mcp", "-y"],
      "environment": {
        "MINIMAX_API_KEY": "YOUR_TOKEN_PLAN_KEY",
        "MINIMAX_API_HOST": "https://api.minimaxi.com"
      },
      "enabled": true
    }
  }
}

Claude Code:

claude mcp add -s user MiniMax --env MINIMAX_API_KEY=your-key --env MINIMAX_API_HOST=https://api.minimaxi.com -- uvx minimax-coding-plan-mcp -y

Cursor — add to MCP settings:

{
  "mcpServers": {
    "MiniMax": {
      "command": "uvx",
      "args": ["minimax-coding-plan-mcp"],
      "env": {
        "MINIMAX_API_KEY": "your-key",
        "MINIMAX_API_HOST": "https://api.minimaxi.com"
      }
    }
  }
}

Step 3: After configuration, tell the user to restart their app and verify with /mcp.

Important: If the user does not have a MiniMax Token Plan subscription, inform them that the understand_image tool requires one — it cannot be used with free or other tier API keys.

Analysis Modes

ModeWhen to usePrompt strategy
describeGeneral image understandingAsk for detailed description
ocrText extraction from screenshots, documentsAsk to extract all text verbatim
ui-reviewUI mockups, wireframes, design filesAsk for design critique with suggestions
chart-dataCharts, graphs, data visualizationsAsk to extract data points and trends
object-detectIdentify objects, people, activitiesAsk to list and locate all elements

Workflow

Step 1: Auto-detect image

The skill triggers automatically when a message contains an image file path or URL with extensions: .jpg, .jpeg, .png, .gif, .webp, .bmp, .svg

Extract the image path from the message.

Step 2: Select analysis mode and call MCP tool

Use the MiniMax_understand_image tool with a mode-specific prompt:

describe:

Provide a detailed description of this image. Include: main subject, setting/background,
colors/style, any text visible, notable objects, and overall composition.

ocr:

Extract all text visible in this image verbatim. Preserve structure and formatting
(headers, lists, columns). If no text is found, say so.

ui-review:

You are a UI/UX design reviewer. Analyze this interface mockup or design. Provide:
(1) Strengths — what works well, (2) Issues — usability or design problems,
(3) Specific, actionable suggestions for improvement. Be constructive and detailed.

chart-data:

Extract all data from this chart or graph. List: chart title, axis labels, all
data points/series with values if readable, and a brief summary of the trend.

object-detect:

List all distinct objects, people, and activities you can identify. For each,
describe what it is and its approximate location in the image.
Step 3: Present results

Return the analysis clearly. For describe, use readable prose. For ocr, preserve structure. For ui-review, use a structured critique format.

Output Format Example

For describe mode:

## Image Description

[Detailed description of the image contents...]

For ocr mode:

## Extracted Text

[Preserved text structure from the image]

For ui-review mode:

## UI Design Review

### Strengths
- ...

### Issues
- ...

### Suggestions
- ...

Notes

  • Images up to 20MB supported (JPEG, PNG, GIF, WebP)
  • Local file paths work if MiniMax MCP is configured with file access
  • The MiniMax_understand_image tool is provided by the minimax-coding-plan-mcp package

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