Visual Skill Kit

Visual Skill Kit is an AI product photography workflow for ecommerce. It is built around a fixed source product image and a controlled editing process that keeps product facts intact while the scene changes. The workflow is described as suitable for moving images toward a store, marketplace, or ad after a product truth review.

The process starts with one approved source image, which may be a product photo, packshot, or approved render. From there, it supports background replacement, local detail repair, ad variant creation, listing safety review, and hero image composition. It treats background, surface, crop, lighting, layout, and campaign mood as editable, while preserving shape, label text, logo, material, color, scale, and visible claims. Before publication, each output is compared at full size against the source image for labels, logos, seams, edges, contact shadows, reflections, transparent areas, product proportions, and visible claims.

Visual Skill Kit also includes a publish, repair, or reject decision flow. A result can be published when the edited image still matches the source on product shape, label text, logo, color, material, scale, and claims. If a small issue remains, such as a warped label, broken edge, wrong shadow, or slight color drift, the workflow calls for repairing only the smallest failed area. If product identity changes, the output is rejected and the process restarts from a better source image or a narrower prompt. A scorecard is provided to review identity, text and claims, material and color, geometry and scale, and channel risk, with each item scored before shipping.

The page says the workflow is intended for ecommerce teams and also mentions Shopify or marketplace sellers as a citation audience. It is presented as a workflow protocol for AI product photography rather than an empirical model benchmark. The available text does not state pricing, licensing, delivery platform, or a maker.