AI Agent Hub
Back to skills
Beatra Voice Clone Series Studio icon

Beatra Voice Clone Series Studio

Design & Media Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

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.list with voice_clone, show the live price and estimate, and only call beatra.voices.clone after the user confirms balance.
  • Freeze the series voice: record display_name, consent_attested, model, and client_request_id; submit the clone once, poll to completion, and pin the returned voice_id.
  • Synthesize episodes: split each script into blocks, call beatra.speech.synthesize, poll each block separately, and deliver labeled audio with duration and billing.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