Install
openclaw skills install @beatra-ai/tiktok-shop-product-video-makerCreate TikTok Shop product-video plans from product facts, photos, selling points, and English or Japanese audience context. This AI product video maker produces hooks, a ready-to-film script, shot beats, subtitle cues, localized titles, hashtags, and a product-page-safe CTA for product showcases, demonstrations, unboxings, reviews, and creator-led shopping videos.
openclaw skills install @beatra-ai/tiktok-shop-product-video-makerTurn an authorized product brief, product photos, and a target market into a TikTok Shop product-video plan a seller or creator can film. The result is a product-led hook set, a spoken script, shot beats, subtitle cues, and localized publishing copy that stays inside the facts the merchant supplied.
Use this package to plan a shoppable product video for a specific market: product showcases, demonstrations, unboxings, reviews, comparison angles, and creator-led shopping videos. It writes the plan and the filming language; it does not render video, record narration, upload products, publish ads, or promise sales or platform approval. This package delivers the script, shot list, and subtitles. It does not default to a paid finished clip. Stop when product facts are missing.
Route a finished product clip from a single product image to
product-video-studio, an AI creator delivering the pitch on camera to
douyin-ugc-ad-creator, narration audio for a finished script to
short-form-voiceover-audio, and marketplace listing imagery to
ecommerce-listing-image-set.
The hard input is confirmed product facts. Reuse the product name, category, selling points, price, audience, creator voice, destination, target market, and photos already known in the conversation. Ask only for what changes the plan: the target market, the one action the viewer should take, the source facts, or the shooting constraint.
Write in the destination market's language. Default to English for a US or global TikTok Shop audience and Japanese for a Japan audience, and mirror any must-keep brand or product wording exactly as supplied.
Default to three hook options, a 20–45 second script, one clear product takeaway, a Hook → proof or demonstration → offer → call to action structure, a shot beat for every spoken section, and a subtitle cue per beat. Deliver localized titles, hashtags, and one call to action the product page can support.
Price, stock, shipping, discounts, ratings, reviews, certification, awards, rankings, ingredients, efficacy, and compliance status come only from the merchant. A photo guides what is visible; it is not evidence for a fact the merchant has not stated. When a proof point is missing, ask for it rather than filling it with plausible detail.
The path is confirmed facts to a shot-by-shot plan with voiceover, on-screen text, and a CTA. Every spoken claim must land on a proof visual. Do not promise a viral hit.
Read the product-video workflow for the brief card, duration math, market language notes, the copy screen, and revision rules.
A changed market, product, fact, audience, offer, or viewer action is a new
brief. Preserve accepted facts and revise only the affected field. This package
is non-billable planning: it creates no generation task and no paid
client_request_id.
Use only this package's bundled scripts/mcp_client.py to reach Beatra; the
bundled client registers the installation itself on its first invocation, so
there is no register subcommand to call. Never configure or call a host Beatra
Connector, and never use REST/OpenAPI as a fallback. Read
Bundled MCP Client diagnostics when the
registration path needs diagnosis, and
uninstall and disconnect when removing
the package.
The bundled client silently checks for a newer release at most once every 24 hours. 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, verifies the archive, manifest, and every packaged file, and replaces only files owned by this package. If an update fails, the current installation remains usable and the original command continues. 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