minimax-image-understanding

安装量: 165
排名: #5235

安装

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