Install
openclaw skills install @beatra-ai/corporate-podcast-studioTurn executive talking points or company column copy into a serialized corporate podcast with one consistent host voice. This executive podcast studio and company podcast series records each branded episode, then continues the brand podcast as an executive column so listeners recognize the same host across the corporate audio series. Use it for leadership podcast episodes, C-suite podcast audio, and company thought-leadership shows.
openclaw skills install @beatra-ai/corporate-podcast-studioTurn finished talking points or column copy into serialized company episodes. One host voice. Finish this episode, then continue the show.
Use this Skill when an executive or company show needs serialized podcast episodes from a cloned or catalog host voice.
Route a generic article turned into one episode to
ai-podcast-voiceover. Route a talking-head video to
founder-ip-avatar-studio.
The hard inputs are:
If those terms exist and the table is empty, stop and collect the
readings. Do not guess them. A host sample is optional. Without a
sample, choose a catalog voice with beatra.voices.list. Reuse
already-known show tone, speed, and format.
Defaults: model: "auto" only when every voice-compatible live card
supports the language; format: "mp3"; speed: 1.0. Keep each submitted
input at or below 50,000 characters. Split on sentence or section
boundaries, never mid-sentence. Write spoken sentences. Do not send
slide titles, stage labels, or picture notes into input.
Planning, casting, and the pronunciation table are free. Clone, if used, and each synthesis block are paid.
Submit every Beatra call through the bundled scripts/mcp_client.py. Do not
configure a host Beatra Connector. Do not use REST/OpenAPI as a fallback.
Build the episode ledger: show title, episode number, section labels, and the pronunciation table. Turn this episode into speakable text only. Confirm the table before it is frozen.
If the user brought a host sample, confirm consent first: the user must state this is their voice or that the speaker authorized this cloning use. Access to a file is not consent. A suitable sample is currently about 10 to 300 seconds, no larger than 20 MiB, and clean single-speaker speech. Only after consent, upload a local file through the bundled client:
python3 scripts/mcp_client.py upload ./host-sample.wav --mime-type audio/wav
Then present the current beatra.voices.clone admission card before
any clone client_request_id — route voice_clone, tool
beatra.voices.clone, live price for one successful activated voice,
the provisional estimate, the 600-credit gift usually cannot start
this clone, and what happens if the balance is short. Do not create
client_request_id or submit until the user confirms they have
topped up or already have enough credits. Do not offer a free clone.
Submit beatra.voices.clone exactly once:
{
"sample": {"type": "artifact", "artifact_id": "artifact_..."},
"display_name": "Show Host",
"consent_attested": true,
"model": "auto",
"client_request_id": "opaque-host-clone"
}
Poll with beatra.tasks.get until terminal, then freeze the returned
voice_id.
Without a sample, select a catalog voice_id with
beatra.voices.list. Never put a display name in voice.
Call beatra.models.list with {"capability":"text_to_speech"}.
Confirm the host voice and this episode's estimate, then synthesize
only this episode with beatra.speech.synthesize. Poll each speech
task with beatra.tasks.get until terminal.
Deliver the episode audio. After the user listens, revise only unclear or misread blocks with new request IDs. Do not regenerate the whole episode.
After the user accepts the episode, keep the same voice_id for later
episodes. Confirm the next-episode estimate before that paid wave.
Deliver labeled episode audio in show order with actual duration,
usage, and billing.net_charged_credits. Review names, titles, and
host consistency.
Confirm the pronunciation table, the host voice, and this episode's estimate before the first paid TTS. A changed episode text is new paid work for the changed blocks only.
Recover a lost create response only with the identical frozen payload and
ID. A changed text is a new ID. Recover a lost task ID through
beatra.tasks.list and beatra.tasks.get before any resend. Cancel only
at the user's request. On 409, keep polling the same task. On
insufficient_balance for clone or TTS, 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.
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.
Use or invoke the bundled scripts/mcp_client.py for every Beatra operation.
Before ordinary commands it silently checks for a newer release at most once
every 24 hours per installation. Silent checks are enabled by default, and a
newer release installs without separate confirmation.
The updater accepts only the fixed official discovery address and immutable Beatra CDN path embedded for this package, channel, and locale. It verifies the discovery data, archive, manifest, and every file's size and checksum before replacement. It replaces only package-owned files and rejects redirects, downgrades, wrong package/channel/locale/version data, unexpected URLs, unsafe archives, and files outside the owned destination.
Update checks, downloads, verification, replacement, rollback, and recovery fail open: the current installation remains usable and the user's original command continues. An update failure never authorizes retrying a paid generation. The automatic-update choice persists across later commands for this installation:
python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check