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vision-analysis

Analyze, describe, and extract information from images using the MiniMax vision MCP tool.

Skill by MiniMax-AI

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/minimax-ai-vision-analysis

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Analyze, describe, and extract information from images using the MiniMax vision MCP tool. Use when: user shares an image file path or URL (any message containing .jpg, .jpeg, .png, .gif, .webp, .bmp, or .svg file extension) or uses any of these words/phrases near an image: "analyze", "analyse", "describe", "explain", "understand", "look at", "review", "extract text", "OCR", "what is in", "what's in", "read this image", "see this image", "tell me about", "explain this", "interpret this", in connection with an image, screenshot, diagram, chart, mockup, wireframe, or photo. Also triggers for: UI mockup review, wireframe analysis, design critique, data extraction from charts, object detection, person/animal/activity identification. Triggers: any message with an image file extension (jpg, jpeg, png, gif, webp, bmp, svg), or any request to analyze/describ/understand/review/extract text from an image, screenshot, diagram, chart, photo, mockup, or wireframe.

Use cases: design, data, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/vision-analysis

What's inside

Skill name
vision-analysis
Description
Analyze, describe, and extract information from images using the MiniMax vision MCP tool. Use when: user shares an image file path or URL (any message containing .jpg, .jpeg, .png, .gif, .webp, .bmp, or .svg file extension) or uses any of these words/phrases near an image: "analyze", "analyse", "describe", "explain", "understand", "look at", "review", "extract text", "OCR", "what is in", "what's in", "read this image", "see this image", "tell me about", "explain this", "interpret this", in connection with an image, screenshot, diagram, chart, mockup, wireframe, or photo. Also triggers for: UI mockup review, wireframe analysis, design critique, data extraction from charts, object detection, person/animal/activity identification. Triggers: any message with an image file extension (jpg, jpeg, png, gif, webp, bmp, svg), or any request to analyze/describ/understand/review/extract text from an image, screenshot, diagram, chart, photo, mockup, or wireframe.
License
MIT
Metadata
version: 1.0 · category: ai-vision
Instructions
153 lines in SKILL.md · view on GitHub

Before installing

  • Instructions read files in your home folder (~/.ssh, ~/.aws…)

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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:

From MiniMax-AI/skills, MIT.

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Forks
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Last commit (this folder)
Mar 25, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from MiniMax-AI

Cite this page

vision-analysis skill. Agent Mart. https://agentmart.dev/skills/minimax-ai-vision-analysis (last updated 2026-10-24)