Vision Analysis

作者 minimax-ai60aaae52bb2aMIT13K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫5 個月前更新

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.

僅含說明AI & Agents
AI 產生的概覽

透過 MiniMax 視覺 MCP 工具分析影像,可描述、OCR、審閱介面、擷取圖表資料或辨識物件。

功能
此技能指示代理將影像路徑或 URL 傳送給 MiniMax_understand_image MCP 工具並回傳分析結果。它定義五種模式:一般描述、逐字文字擷取(OCR)、UI/UX 設計審閱、圖表資料擷取,以及物件、人物與活動辨識。依模式不同,結果以散文、保留的文字結構或結構化審閱形式呈現。它也包含在 OpenCode、Claude Code、Cursor 等工具中設定 MiniMax MCP 的安裝指引。
適用情境
當訊息包含影像檔案路徑或 URL,或要求分析、描述、解釋、審閱影像、截圖、示意圖、圖表、模型圖、線框圖或照片,或從中擷取文字時使用。它也適用於 UI 模型圖審閱、線框圖分析、設計審閱、圖表資料擷取以及物件或活動辨識。
執行需求
需要 MiniMax Token Plan 訂閱及有效的 MINIMAX_API_KEY,並設定 MiniMax MCP 以使 MiniMax_understand_image 工具可用,通常透過 minimax-coding-plan-mcp 套件實現。需要連線至 MiniMax API 主機的網路存取,本機檔案路徑要求 MCP 具備檔案存取權限。此技能不附帶指令碼,僅為說明文件。

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

來源與署名

來源:minimax-ai/skills位於skills/vision-analysis提交60aaae5

授權條款: MIT

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

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