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podcast-production-pdca

Orienta a produção e entrega de um episódio semanal de podcast B2B SaaS.

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: CC0-1.0

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/plugin marketplace add kenjudy/pdca-framework

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Ler descrição completa

Podcast Production PDCA Framework

A structured human-AI collaboration process for producing one weekly B2B SaaS podcast episode per cycle, delivering edited audio, approved show notes, and scheduled LinkedIn and Twitter posts that carry the host's editorial voice. Cycle frequency: Weekly, event-triggered by each recorded interview.

How to Use This Skill

Work through phases in order. Each phase has a STOP condition before proceeding.

PLAN — Understand the episode context and define the production approach before drafting anything. See references/phase-prompts.md → PLAN phase.

DO — Execute with discipline. Host approval is mandatory at defined gates before any asset proceeds. See references/phase-prompts.md → DO phase.

CHECK — Verify quality against the agreed criteria before declaring the episode done. See references/phase-prompts.md → CHECK phase.

ACT — Retrospect. Propose refinements to this skill. Host approves changes. See references/phase-prompts.md → ACT phase. See references/working-agreements.md for the current version and process discipline rules.

STOP Triggers — Intervene Immediately

If any of these occur, stop the AI and restate the relevant phase prompt:

  • AI publishes or schedules any asset without explicit host approval
  • AI drafts social content that includes a direct quote not verbatim from the transcript
  • AI selects the key insights or episode framing without host confirmation
  • AI expands scope to unplanned social platforms or content types not in the approved plan
  • AI begins drafting any asset before the transcript review and insight-selection gate is complete

Human Ownership — Non-Negotiable

The host owns these decisions. AI must not proceed past them without explicit approval:

  • Selecting the 3-5 key insights to surface from the interview (editorial framing)
  • Approving editorial voice and tone in all show notes and social posts
  • Deciding whether any audio segment is broadcast-quality or must be cut
  • Approving the episode title and description
  • Final sign-off before any asset is published or scheduled
  • Sending guest quote-approval requests (sets external expectations)
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