Can this skill help with AI image generation?

Yes, one of its primary functions is generating actionable recreation parameters and keywords specifically designed for use in tools like Midjourney, DALL-E, and Stable Diffusion.

What kind of output does Image Insight provide?

It returns a structured, pure JSON profile containing detailed analysis across categories like composition, lighting, and technical specs, specifically formatted for programmatic use without conversational filler.

How do I trigger the image analysis?

You can use the primary trigger 'image-insight' or natural language commands like 'analyze this image' or 'extract visual style' after uploading an image file to Claude.

Does it handle portrait images specifically?

Absolutely. It includes specialized 'critical area' rules for analyzing hair texture, hand positioning, and facial expressions to ensure high-fidelity recreation of human subjects.

Image Insight

Name: Image Insight
Author: GzuPark

byGzuPark

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Design Tools

Analyzes visual media to generate detailed JSON profiles for style extraction and AI image recreation.

About

Image Insight provides a deep technical breakdown of images, converting visual elements into structured data including composition, lighting, color profiles, and artistic style. By leveraging multi-category analysis, it captures nuanced details like hair texture, lighting directionality, and material specifics, making it an essential tool for developers and creators who need to reverse-engineer visual styles for AI prompt engineering or maintain consistent brand aesthetics across automated workflows.

Key Features

Specialized 'critical area' rules for high-fidelity portrait and background analysis
Structured JSON-only output for seamless integration with downstream tools
Detailed color profiling with hex codes, temperature, and role mapping
1 GitHub stars
Actionable generation parameters for Midjourney, DALL-E, and Stable Diffusion
Deep multi-category analysis including composition, lighting, and technical specs

Use Cases

Performing detailed visual audits of portraits to document lighting and subject positioning
Reverse-engineering visual styles to create consistent AI image generation prompts
Automating the technical cataloging and metadata extraction of image libraries

About

Key Features

Specialized 'critical area' rules for high-fidelity portrait and background analysis
Structured JSON-only output for seamless integration with downstream tools
Detailed color profiling with hex codes, temperature, and role mapping
1 GitHub stars
Actionable generation parameters for Midjourney, DALL-E, and Stable Diffusion
Deep multi-category analysis including composition, lighting, and technical specs

Use Cases

Performing detailed visual audits of portraits to document lighting and subject positioning
Reverse-engineering visual styles to create consistent AI image generation prompts
Automating the technical cataloging and metadata extraction of image libraries