Vision Analysis

作者 minimax-ai60aaae52bb2aMIT13K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库5个月前更新

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.

仅含说明AI & Agents
AI 生成的概览

通过 MiniMax 视觉 MCP 工具分析图像,可描述、OCR、评审界面、提取图表数据或识别物体。

功能
该技能指示智能体将图像路径或 URL 发送给 MiniMax_understand_image MCP 工具并返回分析结果。它定义了五种模式:通用描述、逐字文本提取(OCR)、UI/UX 设计评审、图表数据提取,以及物体、人物和活动识别。根据模式不同,结果以散文、保留的文本结构或结构化评审形式呈现。它还包含在 OpenCode、Claude Code、Cursor 等工具中配置 MiniMax MCP 的安装指引。
适用场景
当消息包含图像文件路径或 URL,或要求分析、描述、解释、评审图像、截图、示意图、图表、模型图、线框图或照片,或从中提取文本时使用。它也适用于 UI 模型图评审、线框图分析、设计评审、图表数据提取以及物体或活动识别。
运行要求
需要 MiniMax Token Plan 订阅及有效的 MINIMAX_API_KEY,并配置 MiniMax MCP 以使 MiniMax_understand_image 工具可用,通常通过 minimax-coding-plan-mcp 包实现。需要访问 MiniMax API 主机的网络连接,本地文件路径要求 MCP 具备文件访问权限。该技能不附带脚本,仅为说明文档。

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

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, alldata 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

来源与署名

来源:minimax-ai/skills位于skills/vision-analysis提交60aaae5

许可证: MIT

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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