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.
Installs into .claude/skills of the current project.
Are you the author of Corporate Podcast Studio?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/beatra-ai-corporate-podcast-studio)
---
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:
```text
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:
```json
{
"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
- Read [Corporate podcast workflow](references/workflow.md) for ledgers,
payloads, and review.
- Read [Installation and authentication](references/installation-and-auth.md)
only when authorization needs attention.
- Read [Installation registration](references/installation-registration.md)
for first-use registration.
- Read [Tasks and results](references/tasks-and-results.md) and
[Billing, errors, and recovery](references/billing-errors-and-recovery.md)
for task and billing facts.
- Read [Bundled MCP Client diagnostics](references/mcp-connection.md) when
the bundled client cannot connect.
- Read [Automatic updates and safety](references/automatic-updates-and-safety.md)
for update controls.
- Read [Uninstall and disconnect](references/uninstall-and-disconnect.md)
only when the user asks to remove the package.
## 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:
```text
python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check
```