Coding

store-new-item-launch

Try it

Turn three named new-item stills into a launch board you can post, then turn the rest of the set into a matching pack. This store new item launch studio writes a new-item still set and launch poster from the facts you already have. Use it for cafe launches, retail restocks, and chain-store new-item boards.

What it does

Turn three named new-item stills into a launch board you can post, then turn the rest of the set into a matching pack. This store new item launch studio writes a new-item still set and launch poster from the facts you already have. Use it for cafe launches, retail restocks, and chain-store new-item boards.

The skill document

Store New Item Launch

Turn three named new-item stills into a labeled new-item board, then turn the rest of that set into a matching pack. The first delivery is three complete stills the store can post.

Scope and adjacent routes

Use this Skill when a cafe, retail shop, or chain store wants a new-item still set from facts they already have: listing stills, in-store launch posters, or a matching new-item board.

Route a restock talking clip to restock-drop-talking. Route a new-drop talking teaser to creator-drop-talking. Route a one-SKU marketplace gallery to ecommerce-listing-image-set. Do not animate a still or make a talking-head clip.

Collect the new item

Hard inputs are:

  • the store or brand;
  • the named new item;
  • the language the stills should print.

Reuse already-known destination, palette, and must-keeps. Ask only for a missing hard input. Do not invent an ingredient, price, or claim to finish a still.

A full still set is welcome. The first paid board is still three named stills. Remaining stills wait until those first three are accepted.

A product photo is a visual reference, not a source for missing ingredients, prices, or claims. File access is not consent. Inspect every optional still. Record MIME type, width, height, aspect ratio, byte size, and whether it has an alpha channel. For a local file, upload only through the bundled client after inspection (scripts/mcp_client.py / beatra.assets.upload). Keep the returned artifact id. Never pass a local path to beatra.images.generate or beatra.images.edit.

If they want a standard set and have not numbered stills, plan four named visual roles from facts already given: listing still, in-store poster, feature still, and one extra listing or poster still. A named set is typically four or more. Omit a printed line whose fact is missing and keep that gap on the plan.

Keep the same type, palette, and layout across the pack so the stills read as one new-item set.

Plan the free 3-still board

Write a labeled 3-still new-item board before any paid image. For each of the first three named stills record the printed lines, language, layout, canvas, and any optional reference role. Remaining named stills stay on the same plan as a later pack. That board is the free visible result. Planning is not approval.

Safe defaults:

  • one beatra.images.generate call per still;
  • model: "auto" and count: 1;
  • canvas {"type":"preset","tier":"2K","aspect":"1:1"} for listing. Change canvas only when the destination needs another ratio: 3:4 for Xiaohongshu, 9:16 for a story;
  • beatra.images.edit only after the store accepts a still and asks for a local correction, with that accepted image as images[0].

Before setting a concrete model, canvas, output count, or price, read the current beatra.models.list card for text_to_image.

Read Store new-item workflow when writing the payload or recovering a task.

Confirm the first three, then the set

Planning is free. Before any billable still, read the current beatra.models.list card for text_to_image. Show one current generate production card for the first three named stills and wait:

  1. Work — three new-item stills (or fewer if they named fewer), each a generate call (beatra.images.generate).
  2. Credits — the live text_to_image price just read, times the first-still count. Do not reuse a remembered number.
  3. Count — one paid call per first still. Do not batch the remaining named stills into this submit.
  4. Identity — one new opaque client_request_id per still. A changed prompt, fact line, file, model, or canvas mints a new ID.
  5. If we stop here — the labeled 3-still new-item board remains usable.
  6. If the balance is insufficient — relay the official message and its top-up URL exactly (https://console.beatra.ai/wallet?intent=buy). Translate the prose; keep the URL. Do not retry until the store says they have topped up. Do not recommend ¥198.

Submit once through bundled scripts/mcp_client.py. Poll beatra.tasks.get. Deliver actual bytes plus billing.net_charged_credits. Do not promise the prepaid estimate is the final charge.

After approval, submit each of those first stills once. Keep no more than two generation tasks in flight on one connection.

After those first three stills are accepted, remaining named stills are a new pack. Show a fresh six-field card for that frozen set and wait:

  1. Work — one new-item still per remaining named slot, each a generate call (beatra.images.generate).
  2. Credits — the live text_to_image price just read, times the remaining slot count. Do not reuse a remembered number.
  3. Count — one paid call per remaining slot. Do not batch slots into one submit.
  4. Identity — one new opaque client_request_id per slot. A changed prompt, fact line, file, model, or canvas mints a new ID for the changed slots.
  5. If we stop here — the first accepted stills and the remaining labeled board remain usable.
  6. If the balance is insufficient — relay the official message and https://console.beatra.ai/wallet?intent=buy exactly. Do not retry until the store says they have topped up. Do not recommend ¥198.

Do not treat acceptance of the first three stills as approval of the rest.

A later local correction is new paid work. Read the live image_edit card first:

{"capability": "image_edit"}

Show a separate six-field edit card. Use the accepted still as images[0] and a new client_request_id.

Review, deliver, and recover

Review printed lines against the confirmed fact list. Report only the text the host can actually see. Treat generated small type as a review item, not as a certified menu, price, or ingredient label.

Deliver the stills in named order, the labeled 3-still board, observed dimensions and formats, task IDs, resolved models, and returned billing.net_charged_credits.

After a returned task_id, poll that task. If the create response is lost, search with beatra.tasks.list and verify with beatra.tasks.get before replay. Reuse an ID only with byte-identical arguments. Cancel only when the store asks.

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.

python3 scripts/mcp_client.py call beatra.models.list
{"capability": "text_to_image"}
python3 scripts/mcp_client.py call beatra.models.list
{"capability": "image_edit"}
printf '%s' '{"prompt":"Create the approved store new-item still. Print only the confirmed item name and approved lines. Keep the shared pack look.","model":"auto","count":1,"canvas":{"type":"preset","tier":"2K","aspect":"1:1"},"client_request_id":"opaque-store-launch-01"}' | python3 scripts/mcp_client.py call beatra.images.generate

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

References by task

  • For the 3-still board, payloads, confirmation, polling, recovery, and review, read Store new-item 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

Related skills

Turn a confirmed new-drop script and authorized stills into one drop talking clip per still. This product drop video studio writes a speakable launch talking clip and new-drop announcement for each photo, then animates a 2 to 15s talking teaser. Use it for creator drop videos and talking teasers that stay one photo, one clip.

Turn seller-supplied product facts into a Shopify product-page image set for a single SKU. This Shopify PDP set studio lays out each named theme as a product detail image, keeping one image per theme so the listing gallery stays consistent. Use it for Shopify detail pages, listing galleries, and product detail images.

Turn a topic description, a product photo, or brand references into a scroll-stopping event poster, promotional banner, or social media graphic. This AI poster maker and design generator creates photo-rich posters with strong visual hierarchy, category-matched styling, and text-safe zones for event, music, movie, product launch, and sale campaigns. Use it as an AI flyer maker for sale flyers, an event poster design tool, a movie poster generator, a music festival poster creator, a banner design AI for product launch posters, or a graphic design poster studio. Start from a campaign topic, transform a product or scene photo with style references, or refine an accepted draft toward a print-ready or share-ready result.

Turn seller-supplied new-year store mood notes into one retail playlist of 8 to 15 instrumentals. This new year music studio writes a retail playlist and seasonal store BGM set for doors-open, browse, and close. Use it for new year music, retail playlists, and seasonal store BGM.

Transform a real product photo into a studio-quality ecommerce image, lifestyle scene, or marketplace-ready hero shot. This AI product photography tool replaces backgrounds, improves lighting, and stages scenes while using the source photo and confirmed product details as the visual anchor. Create clean white-background listings, contextual lifestyle compositions, and premium ad visuals from a single phone snap for Amazon, Taobao, Shopify, and social media. Start from one product photo, combine several references, or refine a selected draft toward a polished listing image.

Turn a written campaign and reward-tier plan into one gallery still per named slot. This crowdfunding gallery studio lays out each named reward-tier still and campaign scene as its own still. Use it for Indiegogo gallery stills, Kickstarter gallery frames, reward-tier tiles, and campaign gallery sets.