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Minimax Image Understanding

  • 558 installs
  • 15 repo stars
  • Updated June 20, 2026
  • imsus/pi-extension-minimax-coding-plan-mcp

minimax-image-understanding is a Claude skill that calls the MiniMax VLM understand_image tool on screenshots, diagrams, and UI photos when text context is missing or OCR-style extraction is needed.

About

minimax-image-understanding is a Claude Code skill for the MiniMax coding-plan MCP extension that analyzes images via the understand_image tool. Pass a natural-language prompt plus an image_url to describe screenshots, extract error messages, read code from photos, interpret charts, or review UI layouts. Use cases include debugging from error screenshots, OCR on document images, and UX analysis when only a PNG is available. Developers reach for minimax-image-understanding whenever visual context is required and the text transcript alone is incomplete.

  • Single understand_image tool: prompt plus image_url (HTTPS or data:image base64)
  • POST {api_host}/v1/coding_plan/vlm with JSON prompt and image_url
  • Documented use cases: error screenshots, UI/UX review, charts, OCR, visual debugging
  • Explicit anti-patterns: skip when image already described, simple icons, inaccessible URLs, or redundant file context

Minimax Image Understanding by the numbers

  • 558 all-time installs (skills.sh)
  • +1 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #1,652 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: HIGH risk (skills.sh audit)
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/imsus/pi-extension-minimax-coding-plan-mcp --skill minimax-image-understanding

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Listed on Skillselion
Installs558
repo stars15
Security audit1 / 3 scanners passed
Last updatedJune 20, 2026
Repositoryimsus/pi-extension-minimax-coding-plan-mcp

How do you analyze screenshots with a VLM API?

Call MiniMax VLM understand_image on screenshots, diagrams, and UI photos when text context is missing or you need OCR-style extraction.

Who is it for?

Developers using the MiniMax MCP extension who need VLM analysis of screenshots, diagrams, or document images.

Skip if: Batch image pipelines outside the MiniMax MCP tool or tasks solvable from plain text logs alone.

When should I use this skill?

The user shares a screenshot, diagram, chart, or UI photo and needs description, OCR, or visual debugging via understand_image.

What you get

Structured natural-language analysis of image content including OCR text, UI details, and diagram interpretations.

  • image analysis text
  • extracted OCR content

Files

SKILL.mdMarkdownGitHub ↗

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

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

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

3. 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

Related skills

How it compares

Use minimax-image-understanding when the MiniMax MCP understand_image endpoint is already configured instead of generic vision prompts without a URL-based tool.

FAQ

How do you call minimax-image-understanding?

minimax-image-understanding invokes understand_image with a prompt string and image_url, for example asking about an error screenshot at https://example.com/image.png.

What images does minimax-image-understanding handle?

minimax-image-understanding covers screenshots with errors or code, photos, diagrams, charts, graphs, and document images where OCR or layout understanding is required.

Is Minimax Image Understanding safe to install?

skills.sh reports 1 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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