wechat-channels-product-video

Create a vertical WeChat Channels product-display video from a real product photo and confirmed product information. Shape a clear product opening, one detail or use moment, and a clean ending, then prepare the finished product video with a title and publishing copy for WeChat Channels product content, including a new-product showcase video.

beatra-ai@beatra-ai

Install

openclaw skills install @beatra-ai/wechat-channels-product-video

WeChat Channels Product Showcase Video

Turn one real, inspectable product photo into one concise vertical product-display video for WeChat Channels product content. The outcome combines a product-led opening, a clear product or use moment, a clean ending, and a WeChat Channels title with publishing copy. Keep the product—not a presenter—the visual centre.

This package is for a product photo plus a Video Channels display direction. A general-purpose product-video workflow belongs in product-video-studio; a creator-led Douyin advertisement belongs in douyin-ugc-ad-creator; editing or extending supplied footage belongs in beatra-ai-video-studio. When confirmed product information is missing, stop at a script or draft and do not pay to produce the clip.

Start with a product anchor

The hard input is one real product photo that the host can inspect and the user is entitled to use. Reuse any known product name, audience, use, confirmed product information, display angle, posting context, required packaging, label, colour, logo, and visual no-go areas. Ask only when the product photo is absent or when the intended product moment or visual direction would materially change the result.

Write factual claims only from the user's supplied information. Visible shape, colour, finish, and apparent use can guide visual direction. Price, specification, material grade, promotion, availability, certification, warranty, and performance result must come from the user. When they are missing, continue with a visual product story and describe a clear user-supplied fact as the smallest next input; do not invent it.

Before any generation, offer a free WeChat Channels product-display plan:

Product opening: the product is recognisable immediately, with safe composition for a product title.
Use or detail moment: a restrained motion that shows one supplied selling point, visible texture, or usage context.
Publishing handoff: a clean ending plus a title and caption direction the user can use when publishing.

The package prepares video and publishing materials. It never treats a user's publication action as a generated result.

Default and live capability check

Propose one silent, single-product, single-action vertical clip: 9:16, the lowest admitted resolution unless the user named a higher tier, and the shortest integer duration the selected live card admits, with a clear first frame, stable light, a gentle push or turn, and a clean finish. Keep model: "auto" and advanced controls at their defaults unless the user chooses a model, price, or control.

Those are a proposal, not an assumption. Before freezing a route, call beatra.models.list through the bundled client for the selected capability and use its current card as the authority for supported model, image or reference media, MIME type, byte limits, aspect ratio, resolution, duration, controls, input combination, and billing basis. The platform's generic automatic default can be horizontal, so never submit a vertical request merely because auto is available. If the live card cannot admit the requested 9:16, 720p, and 5-second plan together, show the card's supported choices, maximum cost, and call count, then let the user choose a revised paid plan.

Choose the visual route

Use the smallest route that preserves the user's product identity.

Clean vertical photo → strict first-frame animation. Upload the admitted photo with the bundled client. If the live image_to_video card accepts it, call beatra.videos.animate. Its image is the strict first frame: retain the product's shape, colour, label, logo, packaging, and any user must-keeps in the motion prompt.
Landscape, cluttered, or unsuitable photo → approved vertical first frame, then animation. First call beatra.images.transform with the product artifact in images[0], using a live-card-admitted 2K and 9:16 canvas. Present the returned first frame for acceptance before using it with beatra.videos.animate. A changed canvas invalidates the dependent paid first-frame route and needs a new confirmation.
Motion or atmosphere reference → reference video. When a supplied video is a reference rather than an exact opening frame, call beatra.videos.generate_from_references only after a reference_to_video card admits the ordered combination. Put the product image first, then each reference in real role order, and name every role in the prompt. This route treats references as inspiration; it does not establish the product photo as a strict first frame.
Strict opening and closing frame → interpolation. When the user requires two strict boundaries—such as package front to a confirmed use or rear view—call beatra.videos.interpolate with accepted first_frame and last_frame. If a last frame needs refinement, create it from the accepted first-frame artifact with beatra.images.edit; disclose it as a separate paid stage and confirm it before execution. Freeze explicit 9:16 and 720p controls only when the selected live card admits them; if it derives output from source frames, confirm both boundaries are approved 9:16 frames and disclose that source-derived output rule instead.

If a user requests both a strict product first frame and a supplied motion reference, explain the strict-frame and reference-video routes, their current capabilities and prices, and ask which goal has priority. Do not represent them as the same route. Do not silently trim reference media, split one coordinated request, crop or stretch a product photo, or switch to text-to-video. This package always needs a real product-photo anchor.

Paid confirmation

Planning, caption writing, title options, posting direction, and live-card comparison are free. Transform, edit, animation, reference-video, and interpolation requests 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:

the product must-keeps and the user-supplied facts permitted in the motion or copy;
every source and reference in exact order, its role, and the full visual or motion prompt;
the selected route and MCP tool name; strict first/last-frame handling where applicable;
the live-card-admitted model, controls, aspect_ratio, shortest admitted duration, lowest admitted resolution unless a higher tier was named, input and output media constraints, 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, comparison, or “make a product video” 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 reference route that contains video, identify both the live input_video_second and output_video_second billing bases. A transform plus animation, an edit plus interpolation, or any changed source needs a separate admission card.

After approval, submit each frozen payload exactly once through the bundled client. Any change to the photo, reference order or role, product must-keep, prompt, route, first or last frame, model, control, resolution, aspect ratio, duration, or input media is new paid work: form a new confirmation and create a new opaque ID.

Execute only through the bundled client

Invoke every remote Beatra operation through the bundled scripts/mcp_client.py. Pass JSON on standard input to call <tool> and upload local media only through its upload command; retain the resulting artifact reference and never send a local path in a remote payload.

text

printf '%s' '{"capability":"image_to_video"}' | 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. Do not use REST/OpenAPI as a fallback.

Track, recover, and cancel

For each paid stage, retain the frozen payload, approval, original create response, client_request_id, task ID, and terminal result. Poll only the original task with beatra.tasks.get until succeeded, failed, or canceled; queued and running are progress, not authorization to replace a chargeable request.

Replay only when the creation response is genuinely unknown, with byte-identical arguments and the same original ID. If the task ID is missing, first call beatra.tasks.list for the matching capability, then call beatra.tasks.get on plausible candidates and compare the stored prompt, media facts and order, model, canvas, duration, controls, and timing before deciding whether a replay is warranted. A slow response, network or authentication problem, update failure, 409 response, or partial result never authorizes a replacement paid request. 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 on the user's explicit request. Call beatra.tasks.cancel once; if it returns 409, continue polling the same original task. Report a cancellation only once its terminal state is canceled.

Deliver and review

Deliver only terminal task facts: the real video artifact URL or ID, resolved model, returned dimensions, duration, usage, and billing.net_charged_credits. When the host can view or play the artifact, compare the opening and ending frame, product shape, colour, label, logo, packaging, supplied must-keeps, product visibility, motion stability, and vertical fit against the approved plan. State plainly which properties could not be inspected. Then provide the aligned WeChat Channels title and publishing copy. At most one unexecuted focused revision may be suggested; a revision is new paid work.

References by task

Product facts, Video Channels post structure, title and caption direction: video-channel planning
Live-card admission, confirmations, route payloads, recovery, and result delivery: video workflow
First install or expired authorization: installation and authentication
Non-billable installation registration: installation registration
Task status, artifacts, and result fields: tasks and results
Balance, validation, and structured errors: billing, errors, and recovery
Bundled-client diagnostics: Bundled MCP Client diagnostics
Removing the package or shared credentials: 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 higher version is available, it installs automatically without separate confirmation. It uses only fixed official Beatra discovery and immutable CDN locations for this package, verifies package identity, archive size and SHA-256, manifest, and every package-owned file before replacement, and replaces only package-owned files. Redirects, downgrades, unexpected URLs, unsafe archives, identity mismatches, and files outside the owned destination are rejected.

Update checks, downloads, validation, replacement, and rollback fail open: the current installation remains usable and the original command continues. An update failure never authorizes a paid retry. This preference persists for the installation. See automatic updates and safety.