Install
openclaw skills install @beatra-ai/blackboard-one-shotTurn authorized blackboard photos and teacher-supplied facts into one blackboard one-shot clip per photo. This one-shot blackboard studio makes a silent 2-15s blackboard clip from each photo, so every board photo clip opens on the board exactly as captured. Use it for classroom blackboard video and lesson-board clip sets that stay one photo one clip.
openclaw skills install @beatra-ai/blackboard-one-shotTurn authorized blackboard photos and teacher-supplied facts into one short clip per photo. Deliver the clips in photo order. Do not stitch them.
Use this Skill when a teacher wants one short motion clip for each blackboard photo they already captured.
Route a talking lesson from one photo plus a script to
wrong-item-talking. Route assembly stills to
assembly-one-step-clip. Route a generic still that is not a labeled
blackboard to image-to-motion. Route enterprise tool photos to
tool-demo-clip. Do not look up public posts for missing board text.
The hard inputs are:
Do not invent missing board text, a formula, a ranking, or a spoken line. A photo is not a source for unstated wording. Reuse lesson name, language, destination, and must-keeps already in the conversation. Ask only for a missing hard input.
Default to one beatra.videos.animate call per photo, model: "auto",
the photo as the strict first frame, no driving_audio, and a
source-derived aspect ratio. Choose a supported integer duration in
the 2-15s range with the user; if they do not pick, use 5s.
Inspect every photo. 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. Never pass a local path to a remote tool.
Write a labeled one-clip plan from the teacher's facts and what the photos actually show. Keep capture order. Leave a photo whose fact is missing on the plan. That plan is the free visible result. Planning is not approval.
Call beatra.models.list with {"capability":"image_to_video"}.
Admit each photo against a current card that accepts a first-frame
image without driving audio. Compare every image fact and the
chosen duration with advertised constraints. If any required media
fact is unavailable or incompatible, stop before video.
Show one current production card and wait before any video
client_request_id or beatra.videos.animate call:
beatra.videos.animate).image_to_video price just read. Do not reuse
a remembered number.client_request_id per photo. A
changed prompt, photo, duration, model, or control mints a new
ID.Do not submit until the user confirms they have topped up or already have enough credits.
Submit beatra.videos.animate exactly once per admitted photo
through bundled scripts/mcp_client.py. Do not configure a host
Beatra Connector. Do not use REST/OpenAPI as a fallback. Poll each
video task with beatra.tasks.get until terminal.
Deliver the clips in photo order with actual dimensions, duration,
usage, and billing.net_charged_credits. Review board identity,
motion, and must-keep drift. Never invent a stitch, concat, or
editor tool.
Planning and live price quotes are free. They are not approval. Video animate needs the six-field card above. File access is not consent to reuse a photo outside this board set.
Each paid photo has its own frozen payload and ID. Recover a lost
create response only with that photo's identical payload. Recover a
lost task ID through beatra.tasks.list and beatra.tasks.get. Call
beatra.tasks.cancel only when the user asks to cancel that photo; on
409 keep polling. On insufficient_balance, keep the top-up URL
inside the balance error exact and retry the same frozen ID only after
the user says they have topped up. If a create returns no task_id,
do not poll; reconcile before minting a new ID. A changed photo,
prompt, duration, or model is new work and a new card.
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": "image_to_video"}
Do not configure or call a host Beatra Connector, and do not use REST/OpenAPI as a fallback.
If the tool returns insufficient credits: give the user the tool message in full. Do not change the URL. You may translate the other words. Do not replace it with your own top-up copy. Point the user to pay using that message.
When the user asks how many credits remain or whether a live estimate fits,
call beatra.wallet.get. When they ask what was charged, call
beatra.wallet.ledger. Both are read-only. Do not invent an account-balance or
top-up tool. Do not make wallet.get a required step before every paid submit.
When a model card comes back carrying a top_up block, relay its tiers as the
card lists them and in that order. Do not rank them, do not talk one down, and
do not pick one for the user. Which tier suits them is their call, made on
the wallet page with the whole list in front of them. Never quote a tier from
memory.
This Skill runs only the files installed with it and leaves them unchanged while it runs; it never downloads or executes other code. It talks to Beatra's official services over HTTPS, and a file you choose to upload goes only to the one-time upload address Beatra issues for it.
Once a day at most, the bundled client reads Beatra's public version list. When the store or tool you installed from has a newer version, it prints one line with the command that updates it there. Updating stays your choice, through that store or tool. See updates and security.