VLM
CommunityEmpower AI with vision-aware chat for images.
System Documentation
What problem does it solve?
This Skill enables vision-based AI chat, allowing teams to analyze and describe visual content through natural language within a backend-driven workflow.
Core Features & Use Cases
- Vision chat with image_url and base64 image support for multimodal analysis.
- Build conversational interfaces that describe, summarize, or answer questions about images.
- Use cases include product image descriptions, accessibility alt text generation, and visual QA in apps.
Quick Start
Open the skill's script at skills/VLM/scripts/vlm.ts and run it with a sample image URL to see a basic vision analysis flow. Example CLI usage for testing: z-ai vision --prompt "Describe this image" --image "https://example.com/photo.jpg" You can adapt the script to your own image sources and prompts; ensure backend usage of the z-ai-web-dev-sdk as shown in the examples.
Dependency Matrix
Required Modules
Components
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: VLM Download link: https://github.com/zakarooo/dataup/archive/main.zip#vlm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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