Vision Analysis

---

name: vision-analysis
description: >
source: MiniMax-AI/skills
tags: [vision, image-analysis, ai, ocr, multimodal]
metadata: 
hermes: 

---

**Trigger**: Use when analyzing images with AI vision models — describe content, extract text (OCR), review UI mockups, or extract chart data.

# 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`:
```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**:
```bash
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:
```json
{
  "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

| Mode | When to use | Prompt strategy |
|---|---|---|
| `describe` | General image understanding | Ask for detailed description |
| `ocr` | Text extraction from screenshots, documents | Ask to extract all text verbatim |
| `ui-review` | UI mockups, wireframes, design files | Ask for design critique with suggestions |
| `chart-data` | Charts, graphs, data visualizations | Ask to extract data points and trends |
| `object-detect` | Identify objects, people, activities | Ask 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