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VLM

Implement vision-based AI chat with image URLs and base64 images.

25|17|Updated Feb 14, 2026
Search Tags:#sdk#multimodal#vision#ai chat#image analysis#vlm
One-click install
npx skills add https://github.com/QvvvvvvQ/skills_leaks --skill vlm-qvvvvvvq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: VLM
Source: https://github.com/QvvvvvvQ/skills_leaks/tree/main/GLM/skills/VLM
Command: npx skills add https://github.com/QvvvvvvQ/skills_leaks --skill vlm-qvvvvvvq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables AI applications to understand and respond to visual content, bridging the gap between images and conversational AI.

Core Features & Use Cases

  • Image Analysis: Describe visual content, identify objects, and extract information from images.
  • Multimodal Interaction: Combine text prompts with image inputs for rich, context-aware responses.
  • Use Case: Upload a photo of a product and ask the AI to describe its features, materials, and potential uses.

Quick Start

Use the VLM skill to describe the image located at https://example.com/product.jpg.

Frequently Asked Questions about VLM

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add image analysis to an AI chat application?▼

VLM enables vision-based AI chat by processing image URLs and base64 encoded images through the z-ai-web-dev-sdk. It bridges images and conversational AI by extracting visual information to generate context-aware text responses.

What is the best way to process base64 encoded images for multimodal AI interactions?▼

Processing base64 encoded images for multimodal AI interactions requires passing the base64 string and text prompt to a vision-language model. The VLM skill uses the z-ai-web-dev-sdk to handle base64 image inputs for visual content analysis.

Can I use the z-ai-web-dev-sdk to extract information from image URLs?▼

Yes, the z-ai-web-dev-sdk supports extracting information from image URLs by passing them to a vision-language model. The VLM skill implements this to analyze visual content and describe images dynamically in conversational AI applications.

Does multimodal AI interaction work with both image URLs and base64 encoded images?▼

Yes, multimodal AI interaction supports both image URLs and base64 encoded images. The VLM skill uses the z-ai-web-dev-sdk to accept either format, enabling dynamic image understanding and analysis within conversational applications.

How do I describe visual content from an uploaded photo in a conversational AI backend?▼

To describe visual content in a conversational AI backend, integrate a vision-language model using the z-ai-web-dev-sdk. The VLM skill processes image inputs to identify objects and extract information, generating descriptive text responses.

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