AI Ecommerce Listing Image Set

AI Ecommerce Listing Image Set

Create an ordered product gallery for one verified SKU. Use this Skill when a seller needs a coherent set of listing images rather than one isolated product photo: a hero, feature, detail, lifestyle, size or fit, and packaging or in-box view that each explain a different part of the product story.

Use product-photo-studio for one clean-background, lifestyle, or focused product-image request. Use marketplace-main-image-preflight when the job is to assess current marketplace rules and make a single targeted repair. Keep model-on-product work and long-form product-detail or A+ visual-module work outside this package's one-SKU gallery scope until a currently installed specialist package is selected.

Build the SKU fact card

Reuse the seller's product type, target storefronts, visual direction, and must-keeps already present in the conversation. Start with one to four real product photos of the exact SKU. Ask only for facts that change a planned slot:

• SKU name and exact variant, including colour, material, and visible label details that must remain recognisable;
• included items, packaging, and accessories for an in-box or package image;
• approved benefits, dimensions, fit or scale facts for a feature or size view;
• destination marketplace or product page, requested image count, and any supplied format requirement; and
• an existing brand palette, type treatment, scene reference, or approved visual direction when it should carry across the gallery.

Keep product facts separate from creative direction. A product photo is a visual reference, not a source for missing dimensions, claims, certifications, or package contents. When an image cannot be viewed by the host, retain the seller's declared role for it rather than claiming to inspect it. Uploading makes media available to Beatra and does not inspect it.

Default to a six-slot set when the seller has not chosen another count:

1. a clean product hero;
2. a feature or close-detail view;
3. a second benefit, material, or use view;
4. a lifestyle or in-use scene;
5. a size, fit, or scale view; and
6. a package or in-box view.

Every slot needs one distinct buyer question and one approved fact source. Omit or replace a slot whose required fact is not available; retain the ordered set plan so the seller can add it later. A current-marketplace review belongs with marketplace-main-image-preflight, not an assumption inside this package.

Plan the complete image set

Create a gallery brief before creating images. It records the chosen slots in order, the buyer question and fact source for each, SKU must-keeps, reference roles, canvas, scene and lighting direction, and any short on-image copy the seller has explicitly approved. Use one shared visual direction—palette, lighting, surface, and composition family—while giving each slot a separate purpose.

Read listing-set workflow when preparing slot cards, choosing a route, or writing the request payload. The normal image route is beatra.images.transform: put the exact SKU product photo in images[0], then place any confirmed brand, scene, or angle references after it in their stated order. Use beatra.images.edit only to make a focused change to an accepted single image, with that accepted image first.

Before setting a concrete model, canvas, control, output relationship, or price, read the current beatra.models.list card for the chosen capability. Keep model as auto and each slot's count fixed at 1. A seller who wants an additional candidate must add a distinct slot and approve the changed set; never turn one slot into multiple outputs. An output relationship may be used only when the current model card accepts it; the shared gallery brief and ordered SKU references remain the visual source of continuity.

Confirm once, create by slot

Planning is free. Before the first billable call, present one set confirmation that freezes the complete ordered slot list, prompts, source and reference order, approved fact sources, canvas for every slot, model behaviour, output count, current per-image price, and the total maximum price and call count. Treat changes to an approved slot, source fact, product/reference order, canvas, model, count, or control as new paid work.

After approval, give each image slot its own stable opaque client_request_id and submit it once. A six-slot gallery is six separate count: 1 image requests, not one invented six-image request. Keep no more than two generation tasks in flight on one connection and honor a lower live limit if the MCP initialization reports one. Poll the first completed pair, record their results, then continue with the next frozen slots. Do not add an extra generation to explore variations unless the seller approves that new work.

Review, deliver, and recover

For each accessible result, review the SKU against its named must-keeps, product shape, colour, visible label, included items, scene fit, and the slot's buyer question. Across the accepted gallery, review visual direction, image order, duplication, and whether the claimed size, fit, or packaging facts match the confirmed SKU fact card. Treat generated small or dense text as a review item; report only the text and visual details the host can actually see.

Deliver the image artifacts in planned order, the slot plan and fact sources, observed dimensions and formats, task IDs, resolved models, and returned billing.net_charged_credits. A selected focused correction is fresh paid work with its own approval and ID; use beatra.images.edit with the accepted image as images[0] when the change stays local.

After a returned task_id, poll that task with beatra.tasks.get. If the create response is genuinely lost, retry only the identical frozen payload with the original ID. If the task ID is unavailable, use beatra.tasks.list and verify candidates with beatra.tasks.get before considering another submission. Queued or running work remains the original work. Use beatra.tasks.cancel only when the seller asks, then verify its terminal state before planning anything else.

Execution

Invoke every remote Beatra operation only through this package's bundled scripts/mcp_client.py. Put the MCP tool name after call and send one JSON object on standard input:

printf '%s' '{"capability":"image_to_image"}' | python3 scripts/mcp_client.py call beatra.models.list
printf '%s' '{"images":[{"type":"artifact","artifact_id":"sku-front"}],"prompt":"Create the approved product-hero slot. Preserve the verified SKU shape, colour, label, and included items.","canvas":{"type":"preset","tier":"2K","aspect":"1:1"},"count":1,"client_request_id":"opaque-sku-hero-id"}' | python3 scripts/mcp_client.py call beatra.images.transform

Do not configure or call a host Beatra Connector, and do not use REST/OpenAPI as a fallback.

References by task

• For slot plans, fact sources, reference order, request payloads, confirmation, task polling, recovery, cancellation, and gallery review, read listing-set workflow.
• For authorization and the non-billable registration step, read installation and authentication and installation registration.
• For shared task, billing, and connection details, read tasks and results, billing, errors, and recovery, and Bundled MCP Client diagnostics.
• For update guarantees and controls, read automatic updates and safety. For removal, read uninstall and disconnect.

Runtime and safe automatic updates

The bundled client silently checks for a newer release at most once every 24 hours per installation. When a newer version is available, it installs automatically without separate confirmation. It downloads only from the fixed official Beatra discovery and immutable CDN paths for this package, channel, and locale, verifies discovery data, archive, manifest, and every packaged file, and replaces only package-owned files.

Update checks, downloads, verification, replacement, rollback, and recovery fail open: the current installation remains usable and the original command continues. An update failure never authorizes retrying a paid image request. The setting persists for this installation. See automatic updates and safety.

python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check