skills.rest
marktantongco
marktantongcoCOMMUNITY
Explore all skills by this author →
GitHub

VLM

Analyze images via vision chat with URLs or base64 inputs.

2|Updated Mar 31, 2026
Search Tags:#ocr#multimodal#vision#chatbot#image-analysis#base64#z-ai-web-dev-sdk
One-click install
npx skills add https://github.com/marktantongco/promptc-os --skill vlm-marktantongco
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: VLM
Source: https://github.com/marktantongco/promptc-os/tree/main/skills/VLM
Command: npx skills add https://github.com/marktantongco/promptc-os --skill vlm-marktantongco

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill enables backend applications to understand and interact with images through natural language, removing the friction of building multimodal vision chat features and accelerating image analysis, OCR, classification, and visual Q&A workflows.

Core Features & Use Cases

  • Vision chat integration: Combine images and text in multi-turn conversations to ask questions about images or request analyses.
  • Flexible inputs: Accept image URLs and base64-encoded images, support multiple images, and handle image, video, and document attachments.
  • Practical use cases: Product image descriptions for e-commerce, OCR and receipt extraction, accessibility alt text generation, image comparison for QA, and visual search.

Quick Start

Ask the system to describe the image at https://example.com/photo.jpg and list the main objects and any text present.

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 and OCR to a backend application?▼

This Skill applies vision-based conversational analysis using z-ai-web-dev-sdk createVision calls to perform OCR, classify objects, and compare images via multi-turn chat or batch processing on your backend server.

Can I use base64-encoded images for multimodal vision chat?▼

Yes, you can use base64-encoded images for multimodal vision chat. The Skill accepts both image URLs and base64-encoded data, supporting multiple images, video, and document attachments for backend processing.

Does z-ai-web-dev-sdk support multi-turn chat with images and documents?▼

Yes, z-ai-web-dev-sdk supports multi-turn chat with images and documents. The Skill combines images and text in conversations to ask questions, request analyses, and perform visual Q&A workflows on your backend.

What is the best way to build a conversational image understanding backend?▼

The best way to build a conversational image understanding backend is to integrate server-side createVision calls with validation and error handling, allowing multi-turn chat questions about images and extracting OCR text instantly.

What are the limitations of server-side image analysis with z-ai-web-dev-sdk?▼

Server-side image analysis with z-ai-web-dev-sdk requires proper validation and error handling for image URLs and base64 inputs, and is designed exclusively for backend environments rather than direct client-side execution.

Related Skills

Explore More Software Engineering Skills→
7126112171261121

VLM

Create AI chat apps with vision capabilities using z-ai-web-dev-sdk.

Community
Intermediate
TietveTietve
1

ai-multimodal

Process audio, video, images, and documents via Google Gemini's multimodal API.

Community
Advanced
chicagopeabodydev-sudochicagopeabodydev-sudo

supabase-skill

Connect Supabase PostgreSQL and pgvector to store and query embeddings.

Community
Intermediate
Zhow01Zhow01
52

ocr-local

Extract Chinese and English text from images using on-device Tesseract.js OCR.

Community
Intermediate