cyangzhou/-2--project-yunshu-

Overview

This skill enables conversation driven by visual inputs, combining image understanding with natural-language prompts. It analyzes photos and figures out objects, scenes, relationships, and can compare multiple images for differences or similarities. The focus is practical multimodal interaction for tasks like description, analysis, and visual troubleshooting.

How this skill works

The skill inspects one or more images and extracts visual elements such as objects, scenes, spatial relationships, and salient attributes (color, pose, condition). It accepts a text prompt that frames the desired output (e.g., describe, compare, identify issues) and returns structured natural-language responses or comparison summaries. It also supports CLI-style commands to feed images and prompts together for automated workflows.

When to use it

• Generate descriptive captions or alt text for images
• Compare multiple images to highlight differences or confirm consistency
• Diagnose visual issues in photos or product images
• Enhance chatbots with image-aware responses for customer support
• Audit visual content for accessibility or basic content concerns

Best practices

• Provide a clear, task-focused prompt (e.g., “Describe damage to this item” vs. “What’s here?”)
• Use high-quality, well-lit images and include multiple angles for complex objects
• When comparing images, name or label each image in the prompt to avoid ambiguity
• Specify the desired output format (short caption, bullet list, or troubleshooting steps) to get actionable results
• Avoid sending private or sensitive images; redact personal data when possible

Example use cases

• Automated alt-text generation for accessibility workflows
• Customer support bot that inspects uploaded product photos and suggests return or repair steps
• Design review: compare two interface mockups and list visual differences
• E-commerce: verify product photos match listing descriptions and flag mismatches
• Field diagnostics: technician uploads images and receives likely causes and next steps