Analyze images and answer visual questions via image URLs or base64 data.
npx skills add https://github.com/zakarooo/dataup --skill vlm
Please help me install this Agent Skill. Skill: VLM Source: https://github.com/zakarooo/dataup/tree/main/VLM Command: npx skills add https://github.com/zakarooo/dataup --skill vlm
This Skill enables vision-based AI chat, allowing teams to analyze and describe visual content through natural language within a backend-driven workflow.
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.
High-intent search queries and answers about installing and using this skill.
Vision-enabled AI chat analyzes images and answers questions about visual content. This Skill provides multimodal understanding for image URLs or base64 data, enabling your backend to describe, summarize, or answer questions about images within conversational workflows.
Yes. The Skill analyzes images and generates natural language descriptions, making it suitable for accessibility alt text generation, product image descriptions, and visual content summarization in backend-driven workflows.
The Skill accepts image_url and base64 image inputs for multimodal analysis. Support is determined by the z-ai-web-dev-sdk backend implementation, which handles both remote URLs and encoded image data.
The Skill uses z-ai-web-dev-sdk as its core dependency for backend-only operation. Review the scripts/vlm.ts reference implementation to understand the required setup and adapt it to your image sources and prompts.
Vision analysis depends on image quality and clarity for accurate results. The Skill operates as a backend component; ensure your implementation handles edge cases like corrupted images, unsupported formats, or large file sizes appropriately.
Multimodal AI processes both natural language prompts and visual input simultaneously, extracting meaning from images and responding to questions about them. This Skill enables conversational interfaces that combine text queries with image analysis in a single workflow.
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