Beatra Voice Clone Series Studio
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Please follow https://skillhub.cn/install/skillhub.md to install @beatra-ai/voice-clone-series-studio.
About this skill
Problem
For podcasts, courses, or creator series, a one-off voice clone is not enough. A team needs to turn a clean speaker sample into a reusable voice, then keep generating episode two, three, and later with the same voice_id, while keeping consent, billing, and task polling explicit.
How it works
The skill splits the workflow into clone preparation and series synthesis:
- Confirm hard inputs: clean single-speaker sample, clear consent, and the first episode script; ask only for missing fields.
- Clone gate: call
beatra.models.listwithvoice_clone, show the live price and estimate, and only callbeatra.voices.cloneafter the user confirms balance. - Freeze the series voice: record
display_name,consent_attested, model, andclient_request_id; submit the clone once, poll to completion, and pin the returnedvoice_id. - Synthesize episodes: split each script into blocks, call
beatra.speech.synthesize, poll each block separately, and deliver labeled audio with duration andbilling.net_charged_credits.
Boundaries
Use it for authorized, recurring multi-episode audio. Avoid it for one-off cloning, full audiobooks, multi-character scripts, or talking-avatar videos. If the sample, display name, or clone model changes, treat it as a new clone job.
Use Cases
- Produce weekly course episodes in one consistent voice, then verify duration and credits.
- Activate a consented speaker's voice from a clean sample, then synthesize later podcast episodes.
- Split episode three into TTS blocks, synthesize each, and poll task completion.
- Review pronunciation, ordering, and billing.net_charged_credits before delivery.
Best For
- Operations owners who need weekly course scripts in one consistent voice and billing checks
- Creator teams maintaining a fixed brand voice across recurring audio episodes
- Audio engineers handling TTS polling, pronunciation review, and usage reconciliation
- Product leads managing licensed voices and a repeatable series-voice workflow
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