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.