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corporate-podcast-studio

基于最终文稿与集数,通过捆绑的 MCP 客户端调用 Beatra 语音服务:确认发音表与主播音色,可选上传授权样本克隆声线,分块合成并轮询任务,交付单集音频并在后续集复用同一 voice_id;含计费确认、错误恢复与自动更新控制。

beatra-ai
beatra-ai
热度 19.29
最近更新 2026-09-06 21:26:13
分类:创作依赖:代码执行 / 第三方 API / MCP 服务 / 读写文件应用场景:故事创作 / 品牌素材

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add corporate-podcast-studio
Metadata
name
corporate-podcast-studio
description
Turn 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.

Corporate Podcast Studio

Turn finished talking points or column copy into serialized company episodes. One host voice. Finish this episode, then continue the show.

Scope and adjacent routes

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.

Inputs and defaults

The hard inputs are:

  • final readable text or talking points for at least this episode;
  • the episode number or air date in the series;
  • the target language;
  • a pronunciation table whenever the episode contains recurring names, titles, or product terms.

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.

Golden path

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.

  1. 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.

  2. 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.

  3. Without a sample, select a catalog voice_id with beatra.voices.list. Never put a display name in voice.

  4. 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.

  5. Deliver the episode audio. After the user listens, revise only unclear or misread blocks with new request IDs. Do not regenerate the whole episode.

  6. After the user accepts the episode, keep the same voice_id for later episodes. Confirm the next-episode estimate before that paid wave.

  7. Deliver labeled episode audio in show order with actual duration, usage, and billing.net_charged_credits. Review names, titles, and host consistency.

Decisions that require confirmation

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.

Recovery

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.

Account balance

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.

References by task

Runtime and safe automatic updates

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