npx skills add https://www.modelscope.cn/skills/@dicklesworthstone/minimax-image-understanding
imsus/pi-extension-minimax-coding-plan-mcp
minimax-image-understanding
Analyze images using AI with the understand_image tool
Installation
npx skills add imsus/pi-extension-minimax-coding-plan-mcp --skill minimax-image-understanding
Similar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Phase quiz for AI Engineering from Scratch. Trigger with "quiz me", "test phase", "check my und…
2.4K installs火山视频理解 - 使用火山方舟视频理解 API 分析视频内容。通过 Files API 上传视频(推荐),支持大文…
564 installsUse this skill to orient an agent to the RevenueCat Android SDK (10.x) architecture. Covers how…
10 installsTeaches Claude about Tauri's core architecture, including the Rust backend, webview integration…
289 installsTeaches the assistant about Tauri IPC (Inter-Process Communication) patterns including brownfie…
155 installsExplains the Tauri process model architecture including the Core process, WebView process, inte…
144 installsAlso in this package
Other skills from imsus/pi-extension-minimax-coding-plan-mcp.
npx skills add imsus/pi-extension-minimax-coding-plan-mcp
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Also listed on
Alternate registries and mirrors of this skill.
Repository health
main
Package contents
Files included with this skill beyond the listing page.
-
skill md
SKILL.md4,301 B -
docs
SUMMARY.md89 B
History
- First seen on skills.sh
- First recorded snapshot · 558 installs
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 {apihost}/v1/codingplan/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:
- HTTP/HTTPS URLs: Downloads the image and converts to base64
- Example: https://example.com/image.jpg
- Local file paths: Reads local files and converts to base64
- Absolute: /Users/username/Documents/image.png - Relative: images/photo.png - Removes @ prefix if present
- 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
- Be specific in your prompt about what you want to know
- Mention format if you need structured output (e.g., "list all elements")
- Include context if the image is part of a larger task
- For screenshots, specify if you need full-page or just a specific area
- 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