VLM

Analyze images, videos, and documents via the createVision API.

28|1|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/XJTLUmedia/Modernblog --skill vlm-xjtlumedia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: VLM
Source: https://github.com/XJTLUmedia/Modernblog/tree/main/skills/VLM
Command: npx skills add https://github.com/XJTLUmedia/Modernblog --skill vlm-xjtlumedia

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the need to manually analyze visual content, extract information from images, or build custom integrations for vision-based AI, saving developers significant time and reducing implementation complexity for applications that need to understand visual data.

Core Features & Use Cases

  • Multimodal Vision Analysis: Process images, videos, and documents to extract text, identify objects, describe scenes, and answer questions about visual content.
  • Flexible Input Support: Accept image URLs, local file paths, or base64 encoded media for seamless integration into existing workflows.
  • Use Case Example: A content moderation team can use this Skill to automatically scan user-uploaded images for policy-violating content, or an e-commerce platform can generate accurate alt text for product images to improve accessibility.

Quick Start

Use the VLM skill to analyze the image at https://example.com/product.jpg and list all visible defects and key product details.

Frequently Asked Questions about VLM

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

FAQPage Schema
How do I extract text from images using visual content analysis?

Image text extraction is handled by processing base64 or URL-based media inputs via the createVision API. This enables OCR text extraction from images, videos, and documents to automate visual data interpretation.

Can I use z-ai-web-dev-sdk to generate image descriptions for my application?

Yes, the z-ai-web-dev-sdk backend package processes image URLs, local file paths, or base64 encoded media to generate descriptions. This allows you to automatically identify objects and describe scenes for visual content.

Does multimodal chat support analyzing images and videos together?

Multimodal chat supports analyzing images, videos, and documents within conversational AI workflows. It processes base64 or URL-based media inputs to answer questions about the visual content provided.

What is the best way to automate image moderation for user-uploaded content?

Automated visual content moderation is achieved by passing user-uploaded base64 or URL-based media to the vision analysis API. This scans images to identify policy-violating content without manual review.

Do I need the z-ai-web-dev-sdk backend package to perform object detection?

Yes, the z-ai-web-dev-sdk backend package is required to process visual content and perform object detection. It handles the API requests needed to interpret base64 or URL-based media inputs.

Are there limitations when processing local file paths for visual content analysis?

Visual content analysis accepts local file paths, URLs, and base64 encoded media, but requires the z-ai-web-dev-sdk backend to process these inputs. Media must be properly encoded to ensure successful extraction.