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minimax-image-understanding极小极大图像理解

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

11,048

周安装

465

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下载量

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:minimax-image-understanding(极小极大图像理解)
来源仓库:https://github.com/imsus/pi-extension-minimax-coding-plan-mcp
仓库路径:skills/minimax-image-understanding
安装命令:
npx skills add https://github.com/imsus/pi-extension-minimax-coding-plan-mcp --skill minimax-image-understanding
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/imsus/pi-extension-minimax-coding-plan-mcp --skill minimax-image-understanding

简介

该技能用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。

  • 适合让 Agent 根据文本生成图片、处理背景或整理视觉提示词。
  • 使用时需确认输入图片、版权来源、输出格式和模型限制。
  • 涉及人物、品牌、商品或公开展示素材时应额外核对授权、真实性和内容合规边界。
  • minimax-image-understanding 属于图像处理类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

MiniMax Image Understanding Skill

Use this skill when you need to analyze, describe, or extract information from images.

How to Use

Call the understand_image tool directly with a prompt and image URL:

understand_image({
  prompt: "Your question about the image",
  image_url: "https://example.com/image.png"
})

When to Use

Use understand_image when:

  • Screenshots: Error messages, UI issues, code in screenshots
  • Visual content: Photos, diagrams, charts, graphs
  • Documents: Extracting text from images (OCR), understanding layouts
  • UI/UX analysis: Evaluating designs, identifying components
  • Visual debugging: Understanding visual bugs or layout issues

When NOT to Use

Do NOT use understand_image when:

  • Image is already described in the conversation
  • The image is a simple icon or emoji you recognize
  • No image is provided or the image URL is inaccessible
  • Redundant with existing context (e.g., file contents already visible)

Usage

understand_image({
  prompt: "What do you see in this image?",
  image_url: "https://example.com/screenshot.png"
})

API Details

Endpoint: POST {api_host}/v1/coding_plan/vlm

Request Body:

{
  "prompt": "Your question about the image",
  "image_url": "data:image/jpeg;base64,/9j/4AAQ..."
}

Response Format:

{
  "content": "AI analysis of the image...",
  "base_resp": {
    "status_code": 0,
    "status_msg": "success"
  }
}

Image Processing

The tool automatically handles three types of image inputs:

  1. HTTP/HTTPS URLs: Downloads the image and converts to base64

- Example: https://example.com/image.jpg

  1. Local file paths: Reads local files and converts to base64

- Absolute: /Users/username/Documents/image.png - Relative: images/photo.png - Removes @ prefix if present

  1. Base64 data URLs: Passes through existing base64 data

- Example: data:image/png;base64,iVBORw0KGgo...

Image Formats

Supported:

  • JPEG (.jpg,.jpeg)
  • PNG (.png)
  • WebP (.webp)

Not supported:

  • PDF, GIF, PSD, SVG, and other formats

Crafting Effective Prompts

For Descriptions

  • "Describe what's in this image in detail"
  • "What is the main subject of this image?"
  • "Describe the visual style and composition"

For Code/Technical

  • "What code is shown in this screenshot?"
  • "Extract all text from this image"
  • "Identify the UI framework/components used"

For Analysis

  • "Analyze this UI design. What is working well and what could be improved?"
  • "What emotions or mood does this image convey?"
  • "Compare this design to Material Design principles"

For OCR/Text Extraction

  • "Extract all text from this image"
  • "Read the error message in this screenshot"
  • "What does the label say in this image?"

Examples

Error Analysis

understand_image({
  prompt: "What is the error message and where is it located in this screenshot?",
  image_url: "./error-screenshot.png"
})

Code Screenshot

understand_image({
  prompt: "What code is shown in this screenshot? Please transcribe it exactly.",
  image_url: "https://example.com/code.png"
})

Design Review

understand_image({
  prompt: "Analyze this UI design. What is working well and what could be improved?",
  image_url: "https://example.com/mockup.png"
})

OCR

understand_image({
  prompt: "Extract all text from this image",
  image_url: "/Users/username/Documents/scan.png"
})

Tips

  1. Be specific in your prompt about what you want to know
  2. Mention format if you need structured output (e.g., "list all elements")
  3. Include context if the image is part of a larger task
  4. For screenshots, specify if you need full-page or just a specific area
  5. Complex analysis may trigger a confirmation prompt (analyze, extract, describe, recognize, transcribe, read)

Error Handling

  • Status code 1004: Authentication error - check API key and region
  • Status code 2038: Real-name verification required
  • Invalid image: File doesn't exist or URL is inaccessible
  • Unsupported format: Image format not in JPEG, PNG, WebP

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.85%
按下载量换算1,387

Claude

29.55%
按下载量换算1,143

Cursor

18.29%
按下载量换算708

Gemini CLI

8.32%
按下载量换算322

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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