Analyze and describe images via URL or base64 input.
npx skills add https://github.com/Enztun/enztronic.com --skill vlm-enztun
Please help me install this Agent Skill. Skill: VLM Source: https://github.com/Enztun/enztronic.com/tree/main/apps/meteora-lp/skills/VLM Command: npx skills add https://github.com/Enztun/enztronic.com --skill vlm-enztun
This Skill solves the problem of analyzing images and engaging in vision-based AI chat, allowing users to process and interact with images using conversational AI.
Use the VLM skill to analyze an image and describe it with the prompt 'What is in this photo?' by providing the image file 'example.jpg'.
High-intent search queries and answers about installing and using this skill.
Vision-based AI chat analyzes and interacts with images by processing text prompts alongside image URLs or base64 encoded images to describe and classify visual content using conversational AI.
To classify and extract information from an image, you provide the image file and a text prompt like 'What is in this photo?' to the vision chat interface to generate descriptive visual content analysis.
Yes, the z-ai-web-dev-sdk package is required for backend operations to handle multimodal interactions and process base64 encoded images and image URLs for visual content classification.
The best way to build multimodal interactions for e-commerce product analysis is using vision chat to combine image understanding with conversational AI for classifying and describing visual content.
Yes, you can use base64 encoded images and image URLs with vision chat to perform content moderation by analyzing and classifying visual content through conversational AI text prompts.
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