VLM

Analyze images and answer questions via multimodal chat with z-ai-web-dev-sdk.

26|15|Updated Dec 25, 2025
One-click install
npx skills add https://github.com/AnswerZhao/agent-skills --skill vlm-answerzhao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: VLM
Source: https://github.com/AnswerZhao/agent-skills/tree/main/glm-skills/VLM
Command: npx skills add https://github.com/AnswerZhao/agent-skills --skill vlm-answerzhao

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Vision-enabled image chat enables applications to understand visual content within conversational flows and provide accurate descriptions and insights.

Core Features & Use Cases

  • Multimodal conversations: analyze images and respond with contextual insights.
  • Backend-first integration: uses z-ai-web-dev-sdk for server-side processing.
  • Supports image_url and base64 inputs for flexible data sources.
  • Use cases include describing product images, extracting information from visuals, and accessibility improvements.

Quick Start

Install the z-ai-web-dev-sdk in your backend project. Initialize the SDK with ZAI.create(). Create a vision chat by sending a prompt and an image_url, then read the assistant's response.

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 a backend chat application?▼

To add image analysis to a backend chat application, use the z-ai-web-dev-sdk to send a prompt with an image_url or base64 input, receiving contextual visual insights and descriptions in the conversational response.

Can I use base64 image inputs for multimodal chat processing?▼

Yes, multimodal chat processing supports base64 image inputs. The integration accepts both image_url and base64 formats, allowing flexible data sources for server-side visual analysis using z-ai-web-dev-sdk.

What is vision-enabled image chat used for in software products?▼

Vision-enabled image chat is used for analyzing visual content within conversational workflows to provide accurate descriptions, extract information from product images, and improve application accessibility.

Does z-ai-web-dev-sdk support server-side image understanding workflows?▼

Yes, z-ai-web-dev-sdk supports server-side image understanding workflows. It enables backend-first integration by processing multimodal chat requests and returning image descriptions without client-side AI execution.

How do I create a multimodal chat experience with z-ai-web-dev-sdk?▼

To create a multimodal chat experience, initialize the SDK with ZAI.create(), send a prompt containing an image_url, and read the assistant's response to analyze images and answer questions contextually.

What are the limitations of backend image analysis for conversational workflows?▼

Backend image analysis for conversational workflows requires server-side processing via z-ai-web-dev-sdk and may not support real-time client-side visual processing, relying on provided image_url or base64 data inputs.