
Minimax Image Understanding
This hooks up MiniMax's vision API to analyze images through a simple understand_image call. You pass it a prompt and image URL (supports HTTP links, local paths, or base64), and it handles the conversion and API work. Best for screenshots with error messages, extracting code or text from images, analyzing UI designs, or general OCR tasks. It supports JPEG, PNG, and WebP. The skill is straightforward about when not to use it, like when you already have the context or for simple icons. One nice touch is it auto-converts images to base64 regardless of input format, so you don't need to think about encoding.
- skills.sh installs
- 556
- GitHub stars
- 15
- last updated
- Aug 21, 2026
Install
$ npx -y skills add imsus/pi-extension-minimax-coding-plan-mcp --skill minimax-image-understanding --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
Details
- Repository
- github.com/imsus/pi-extension-minimax-coding-plan-mcp
- Categories
- AI & Agent Building, Productivity & Planning
- First seen
- Jun 3, 2026