VLM

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

Updated Dec 14, 2025

Search Tags:#multimodal #vision #computer vision #AI chat #image analysis #z-ai-web-dev-sdk

Ready to run

npx skills add https://github.com/71261121/auto-jarvis- --skill vlm-71261121

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: VLM
Source: https://github.com/71261121/auto-jarvis-/tree/main/skills/VLM
Command: npx skills add https://github.com/71261121/auto-jarvis- --skill vlm-71261121

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables AI models to understand and respond to images combined with text prompts, allowing for visual analysis and conversational AI applications that interpret visual content.

Core Features & Use Cases

Image Analysis: Describe images, identify objects, and answer questions about visual content.
Multimodal Input: Supports image URLs, local file paths, and base64 encoded images.
Use Case: Upload a photo of a product and ask the AI to describe its features, or provide a chart image and ask for a summary of the data presented.

Quick Start

Use the VLM skill to describe the image located at https://example.com/photo.jpg.

Frequently Asked Questions about VLM

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

FAQPage Schema

How do I implement image analysis and description in an AI chat application?▼

To implement image analysis in an AI chat application, use a vision-based AI approach that processes visual content and text prompts together to generate descriptions and answer questions about images.

Can I use base64 encoded images for multimodal AI interactions?▼

Yes, you can use base64 encoded images for multimodal AI interactions. This approach also supports image URLs and local file paths as valid inputs for conversational AI applications.

Do I need the z-ai-web-dev-sdk package to build computer vision chatbots?▼

Yes, the z-ai-web-dev-sdk package is required as a backend dependency to implement vision-based AI chat capabilities and process multimodal inputs for your conversational applications.

What's the best way to analyze product photos and extract visual features using AI?▼

The best way to analyze product photos is using multimodal AI that combines image understanding with conversational AI, allowing you to upload a photo and ask the AI to describe its visual features.

How does multimodal AI handle data extraction from uploaded chart images?▼

Multimodal AI handles data extraction from chart images by interpreting visual content through combined image and text inputs, enabling the AI to summarize the data presented in the visual chart.

Are there limitations when using local file paths for image analysis in AI chat applications?▼

When using local file paths for image analysis, ensure your backend environment can access the specified directory structure to properly load and encode the visual content for AI processing.