80 lines
2.4 KiB
Markdown
80 lines
2.4 KiB
Markdown
---
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name: image-inspector
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description: Inspect images to answer Yes/No questions about visual content. Use when asking "Is a <thing> visible in this image?" or checking for specific objects, people, colors, text, or other visual elements. Always arrives at a definitive Yes/No conclusion.
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---
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# Image Inspector
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Inspect images using the Qwen3-VL vision model to answer Yes/No questions about visual content.
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## When to Use
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Use this skill when you need to:
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- Check if a specific object is present in an image
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- Verify visual elements exist
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- Answer binary questions about image content
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- Confirm or deny the presence of things in images
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## How It Works
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1. You provide an image path and a Yes/No question
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2. You resize the image to be a max of 1MP
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3. Ask the @image-expert to examine the image, and return a Yes/No
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4. You receive a definitive Yes or No answer
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## Usage Pattern
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### Step 1: Read the Image
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Use the Read tool to load the image file. The Read tool can read image files and return them as attachments.
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### Step 3: Resize the image to 1MP
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Use imagemagick and resize to a maximum of 1MP, outputting to ./.tmp/
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### Step 3: Formulate the Question
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Ask @image-expert a clear Yes/No question about the image:
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- "Is a [object] visible in this image?"
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- "Does this image contain [element]?"
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- "Can you see [thing] in this scene?"
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### Step 3: Provide the Answer
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After analyzing the (smaller) image, provide:
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1. **The Answer**: Yes or No (always definitive)
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2. **Brief Justification**: 1-2 sentences explaining why
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## Example Questions
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- "Is a tree visible in this image?"
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- "Does this image contain a person wearing a hat?"
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- "Is there text visible in this image?"
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- "Can you see a water feature in this scene?"
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- "Is the sky visible in this image?"
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- "Does this image show an indoor scene?"
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## Response Format
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```
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**Answer:** Yes/No
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**Reasoning:** [1-2 sentences explaining what you see or don't see]
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```
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## Guidelines
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- Always provide a definitive Yes or No answer
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- Be specific about what you observe
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- If uncertain, describe what you see and make your best judgment
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- Don't hedge with "maybe" or "possibly" - commit to an answer
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- Focus only on the specific question asked
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## Limitations
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- The model can only analyze what's visually apparent
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- Small or partially obscured objects may be missed
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- The model cannot zoom or enhance the image
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- Text must be clearly legible to be detected
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