VLM

Analyze images and generate natural language descriptions via image_url or base64 inputs.

Updated Jan 29, 2026
One-click install
npx skills add https://github.com/TIAN0517/iosboss --skill vlm-tian0517
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: VLM
Source: https://github.com/TIAN0517/iosboss/tree/main/temp_extract/99999999/skills/VLM
Command: npx skills add https://github.com/TIAN0517/iosboss --skill vlm-tian0517

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables developers to build multimodal AI experiences by analyzing images and generating natural language descriptions and insights within conversational flows.

Core Features & Use Cases

  • Vision-augmented chat: Combine image content with text prompts to produce contextual responses.
  • Image analysis for accessibility: Generate alt-text and descriptive summaries for images to improve accessibility.
  • Use Case: Build product enquiry bots that describe product images or explain diagrams in educational apps.

Quick Start

Use the vlm skill to describe an image from URL by providing the image URL and a prompt, for example: image_url "https://example.com/photo.jpg" with prompt "Describe this image in detail."

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 backend?

To add image analysis to an AI chat backend, you can integrate multimodal vision capabilities using the z-ai-web-dev-sdk to process image inputs alongside text prompts and generate natural language descriptions. This skill supports both image URLs and base64 inputs.

Can I use base64 image inputs for vision-augmented chat?

Yes, you can use base64 image inputs for vision-augmented chat. The skill processes base64 encoded images alongside text prompts within backend web services to generate contextual conversational responses and image insights.

What is the best way to generate alt text for images in web services?

The best way to generate alt text is by using multimodal AI image analysis. This skill analyzes images and produces natural language descriptive summaries, improving accessibility by integrating image understanding with conversational flows.

Does z-ai-web-dev-sdk support multimodal conversations with image URLs?

Yes, z-ai-web-dev-sdk supports multimodal conversations with image URLs. You provide an image URL and a text prompt, and the skill analyzes the image content to produce contextual natural language responses.

How do I build a backend bot that explains diagrams from images?

You can build a backend bot that explains diagrams by implementing vision-augmented chat. This skill combines image content analysis with text prompts to produce insightful natural language descriptions for educational or product enquiry applications.