Reconstruct image generation prompts from commercial reference images.
npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-image-prompt
Please help me install this Agent Skill. Skill: lyt-image-prompt Source: https://github.com/YYYYYZhao/Lytskill/tree/main/skills/lyt-image-prompt Command: npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-image-prompt
This Skill helps you reverse-engineer an e-commerce or commercial reference image into a practical, editable generation prompt, and replace the original product with your own product when needed.
Upload a reference commercial image and, if needed, your own product photo, then ask the Skill to extract the visual structure and generate a usable prompt in your preferred style and tool.
High-intent search queries and answers about installing and using this skill.
Reverse engineering an image prompt involves deconstructing a commercial reference image into structured visual facts like subject, composition, lighting, and color. This Skill breaks down visible elements into an editable generation prompt while preserving only confirmed visual details.
Product replacement in an ecommerce image requires separating the reference composition from your product identity. This Skill merges a user-provided product photo into the visual style and structure of a reference ad, preserving the original scene while swapping the item.
Yes, you can extract a usable generation prompt from a white-background product listing. This Skill reconstructs editable prompt specs from single-image product ads and white-background listings by analyzing visible subject, lighting, and commercial messaging.
Yes, prompt reverse engineering applies to scene compositions and feature graphics. This Skill reconstructs usable image generation prompts from various commercial reference images, carefully handling style selection and tool adaptation for different visual formats.
A key limitation of reconstructing prompts from commercial imagery is the strict separation of reference composition from user product identity. This Skill only preserves visible visual facts and requires clear handling of unconfirmed details to avoid generating inaccurate elements.
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