VLM

Name: VLM
Availability: InStock
Author: C-Jay

Extract structured information and answer questions from images, videos, and documents.

Updated Jan 22, 2026

Search Tags:#ocr #visual content #vision ai #image analysis #backend integration #multimodal chat #z-ai sdk

Ready to run

npx skills add https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH --skill vlm-c-jay69

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: VLM
Source: https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH/tree/main/skills/VLM
Command: npx skills add https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH --skill vlm-c-jay69

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 for manual visual content analysis, enabling users to extract information, describe images, and have natural language conversations about visual media without specialized expertise.

Core Features & Use Cases

Multimodal Input Support: Analyze images, videos, and documents via URL or base64 encoding for flexible integration into workflows.
Conversational Vision Capabilities: Support multi-turn conversations about visual content for follow-up questions and deeper context extraction.
Use Case: E-commerce teams can automatically generate product descriptions and alt text from product images, while content teams can extract text from infographics and charts for social media assets.

Quick Start

Use the VLM skill to analyze the image at https://example.com/product.jpg, describe its contents in detail, and list all visible objects and text.

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 AI?▼

You can perform OCR and extract text from images by passing the visual media via URL or base64 encoding to the VLM skill. It processes multimodal inputs to provide descriptive content, structured information, and question answering for documents and infographics.

Can I use multimodal chat to ask follow-up questions about an image?▼

Yes, the VLM skill supports multi-turn conversational workflows for visual content. You can ask follow-up questions and extract deeper context from images, videos, or documents using chain-of-thought reasoning capabilities.

Do I need a backend SDK to analyze images via URL or base64?▼

Yes, you need the z-ai-web-dev-sdk backend package to analyze images via URL or base64. This dependency processes multimodal inputs and enables chain-of-thought reasoning for visual content analysis.

What is the best way to generate e-commerce product descriptions from images?▼

The best way to generate product descriptions is using the VLM skill to analyze product images. It automatically extracts visual information and generates descriptive content and alt text suitable for e-commerce catalogs.

Does the z-ai-web-dev-sdk support document OCR and accessibility alt text generation?▼

Yes, the z-ai-web-dev-sdk supports document OCR and accessibility alt text generation through the VLM skill. It extracts text from infographics and charts, and generates descriptive content for visual media accessibility.