Generate marketplace head images and detail pages from product and reference images.
npx skills add https://github.com/oldred-byte/ec-visual-skill --skill ec-visual
Please help me install this Agent Skill. Skill: ec-visual Source: https://github.com/oldred-byte/ec-visual-skill/tree/main Command: npx skills add https://github.com/oldred-byte/ec-visual-skill --skill ec-visual
This Skill solves the inconsistency and low conversion rates of e-commerce visuals by automating the planning and generation of marketplace-ready head images and detail pages. It ensures your product visuals are commercially accurate, consumer-focused, and visually coherent.
Use the ec-visual skill to generate a complete set of 5 head images and 10 detail pages for the uploaded product and reference images.
High-intent search queries and answers about installing and using this skill.
Generate professional e-commerce visuals by uploading product images and style references for automated planning of marketplace head images and detail pages, ensuring visual coherence and consumer-focused accuracy.
The best way to plan e-commerce product photography is using automated visual system planning to map technical specs into consumer-facing benefits, producing a structured set of head images and detail screens.
Translate technical product specs into high-converting retail images by applying consumer-angle mapping, which converts features into consumer-facing benefits that pass the "so what?" test for marketplace listings.
You can use reference images to maintain visual consistency by enforcing set-level diversity constraints and hard-rule validation, ensuring your e-commerce detail pages remain commercially accurate and visually coherent.
Automated image generation enforces e-commerce standards through hard-rule validation, applying strict rules like the "Picture Solo Test" and "No-Icon Rule" to ensure professional, high-quality marketplace output.
Limitations of automating e-commerce visual system planning include strict adherence to consumer-facing copy and visual proof grammar, requiring precise product and reference image inputs to avoid generating inconsistent retail visuals.
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