taobao-main-video-maker

Create a Taobao product main-image video or Tmall product main-image video from product photos, selling points, and brand references. This AI product video maker builds a product-led opening, detail or use moment, and clean finish for Taobao product listings, Tmall product pages, ecommerce product listing videos, new-product launches, and seasonal campaigns.

beatra-ai@beatra-ai

Install

openclaw skills install @beatra-ai/taobao-main-video-maker

Taobao Product Main Image Video Maker

Turn real product photos and seller-supplied product facts into one concise product-first video for a Taobao or Tmall listing. Shape an immediate product opening, one detail or use moment, and a clean ending. Keep the product, packaging, label, colour, and other supplied must-keeps at the centre of every route.

Scope and adjacent routes

Use this Skill for a Taobao or Tmall product main-image video whose visual story starts from a real product photo and stays focused on the merchandise. It fits new listings, seasonal catalog refreshes, and detail-led products that benefit from a short product demonstration.

For a spoken, vertical commerce clip, use product-video-studio. For static listing images, use ecommerce-listing-image-set or product-photo-studio. For a WeChat Channels product showcase, use wechat-channels-product-video. For editorial work on an existing video, use beatra-ai-video-studio. Effect claims that lack evidence stay at a draft. Route work that needs live-action editing out.

Inputs and sensible defaults

The hard input is one real product photo that the host can inspect and that the user is entitled to use. Ask for it only when it is absent. Reuse product name, audience, confirmed selling points, packaging, logo, colour, visual references, and target Taobao or Tmall placement already present in the conversation.

Visible shape, colour, finish, and apparent use may guide the visual direction. Specifications, price, promotion, certifications, warranty, performance claims, and availability come from the seller. When only visual facts are available, continue with a product-led direction and request one seller-supplied fact only when it changes the product story.

Propose one silent, single-product, single-action clip as the default: 1:1, the lowest admitted resolution unless the user named a higher tier, and the shortest integer duration the selected live card admits, with a recognisable first frame, restrained motion, and a clean final product view. The current destination and live model card decide the final canvas, resolution, duration, and silent-output controls; name the accepted choices in the video admission card rather than treating the proposal as a platform guarantee.

Plan the product story first

Make a free plan before paid work:

Opening product view — show the real product clearly and preserve the supplied must-keeps.
Detail or use moment — show one seller-supplied selling point, visible finish, packaging detail, or simple use context.
Clean ending — return focus to the product with space for the seller's listing presentation.

Inspect the local photo's MIME type, byte size, dimensions, aspect ratio, transparency, and visible product condition. Read the live image_to_video card with beatra.models.list before selecting direct animation. Read image_to_image, reference_to_video, or frames_to_video only when that route is needed. The selected card is the authority for media, canvas, resolution, duration, controls, model, and current billing basis.

Choose the smallest product-preserving route

Clean product photo → strict first-frame motion. Upload the admitted photo and use beatra.videos.animate when its live image_to_video card admits the selected silent canvas, resolution, and duration. Its image is the strict first frame, so retain every product must-keep in the motion direction.
Photo needs a listing-ready first frame → transform, accept, then animate. Use beatra.images.transform with the product artifact first in images to create the selected canvas. Review the returned first frame when accessible, then use the accepted artifact in beatra.videos.animate.
Product photo plus a motion reference → reference video. Use beatra.videos.generate_from_references only after the live reference_to_video card admits the ordered combination. Put the product image first and identify every reference in its real order. This route uses the product photo and references as visual guidance; it does not make the product image a strict first frame.
Accepted first and last product frames → interpolation. Use beatra.videos.interpolate when both boundaries are required. If the ending frame needs a focused product adjustment, create it with beatra.images.edit from the accepted first-frame artifact before interpolation.

Choose a live-card route that supports silent output. Pass generate_audio: false only when the selected card supports that control, and never attach speech, driving_audio, an audio reference, or reference_voice to this silent product-display path. When a request combines a strict product opening with a separate motion-video reference, show the current strict-first-frame animation and reference-video choices, their live-card admission and prices, then let the user choose the priority. A changed photo, product must-keep, reference order, canvas, duration, model, or motion direction is new paid work.

Confirm each paid stage

Planning, listing copy direction, local-media inspection, upload, and live-card comparison are free. Image transform, focused image edit, animation, reference-video generation, and interpolation are paid.

Before each paid image stage, show that stage's own card. Before each beatra.videos.animate, beatra.videos.generate_from_references, or beatra.videos.interpolate call, show a video admission card that freezes:

product must-keeps and seller-supplied facts used in the direction;
every source and reference in exact order, with its role;
selected route, MCP tool name, prompt, first and last-frame handling where relevant;
live-card-admitted model, controls, canvas, shortest admitted duration, lowest admitted resolution unless a higher tier was named, silent-output setting, provisional live estimate, the fact that the 600-credit signup gift usually cannot start this video, the exact URL https://console.beatra.ai/topup, and starter ¥29 / 11,000 credits. Do not recommend ¥198.

Planning, listing copy, or “make the clip” is not approval. Do not create a video client_request_id or submit until the user confirms they have topped up or already have enough credits for this estimate. For a transformed first frame, confirm paid preparation before the transform. Then review the accessible returned frame and show a separate video admission card. Treat a changed approved artifact or frozen argument as new paid work with a new identifier and a new admission card.

Execute once through the bundled client

Invoke every remote Beatra operation only through the bundled scripts/mcp_client.py; pass tool arguments as JSON on standard input, and use its upload command with the detected MIME type for local media.

text

printf '%s' '{"capability":"image_to_video"}' | python3 scripts/mcp_client.py call beatra.models.list
printf '%s' '{"capability":"image_to_image"}' | python3 scripts/mcp_client.py call beatra.models.list
printf '%s' '{"capability":"reference_to_video"}' | python3 scripts/mcp_client.py call beatra.models.list
printf '%s' '{"capability":"frames_to_video"}' | python3 scripts/mcp_client.py call beatra.models.list
python3 scripts/mcp_client.py upload ./product.jpg --mime-type image/jpeg

Do not configure or call a host Beatra Connector, and do not use REST/OpenAPI as a fallback. Submit each frozen paid payload once with its stable ID, save the create response and task ID, and poll only that task with beatra.tasks.get until it reaches a terminal state.

Deliver, review, and recover

Deliver the terminal video artifact, resolved model, returned dimensions and duration, task identity, and billing.net_charged_credits. When the host can view the media, review product opening, shape, colour, label, packaging, must-keeps, motion stability, silent presentation, and final product view against the accepted plan. Clearly separate returned task facts from details the host could not inspect.

If a create response is genuinely unknown, first use beatra.tasks.list for the matching capability and inspect plausible candidates with beatra.tasks.get. Compare the retained payload, media order, model, canvas, duration, and timing against the local ledger. Replay only a byte-identical frozen payload with the same original ID when evidence supports an identical retry. A slow task or lost connection remains the original task. On insufficient_balance, relay the returned message, keep https://console.beatra.ai/topup exact, and retry the same frozen client_request_id only after the user says they have topped up.

Cancel only when the user asks to cancel. Call beatra.tasks.cancel once; if it returns 409, continue polling the original task and report its terminal state. A failed stage leaves successfully returned source artifacts available for a newly approved revision.

References by task

Use the Taobao main video workflow for payloads, route selection, confirmations, polling, delivery, and recovery.
Use installation and authentication for first install or an expired authorization.
Use installation registration for non-billable package registration.
Use tasks and results to interpret task status, artifacts, and terminal results.
Use billing, errors, and recovery for current balances and structured errors.
Use Bundled MCP Client diagnostics when the packaged client cannot connect.
Use automatic updates and safety for update guarantees and controls.
Use uninstall and disconnect to remove this package or shared credentials.

Runtime and safe automatic updates

The bundled client silently checks for a newer release at most once every 24 hours per installation. When a higher 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 file's size and checksum before replacement; and replaces only package-owned files. It rejects redirects, downgrades, mismatched package, channel, locale, or version data, unexpected URLs, unsafe archives, and files outside the owned destination.

Update checks, downloads, verification, replacement, and rollback fail open: the current installation stays usable and the original command continues. An update failure never authorizes a replacement paid request. The setting persists across later commands for this installation.