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Podcast Episode Architect
Structure podcast episodes with a clear listener promise, narrative arc, segments, and production cues.
$9.99
Podcast Episode Architect
Example session with this skill installed
Outline a 30-minute interview episode on helping local retailers improve inventory planning. Include a strong arc and practical questions.
- Read your context and instructions
- Compiled the podcast episode architect
Episode plan: better inventory planning
Listener promise: Understand a few practical ways to improve inventory decisions and what data to check first.
Format: Interview
Length: 30 minutes
0:00–2:00 — Opening
Introduce the problem and guest’s verified expertise. State what the episode will cover without promising a universal result.
2:00–8:00 — Context
Ask how the guest sees inventory planning vary by store size, product type, and supplier lead time.
8:00–17:00 — Core workflow
Explore demand history, seasonality, reorder points, open purchase orders, and stock accuracy. Ask for a concrete example with permission and context.
17:00–24:00 — Common failure modes
Discuss stale assumptions, supplier delays, fragmented records, and how teams spot exceptions.
24:00–28:00 — Practical first steps
Ask what a small retailer can inspect this week and what should wait until better data is available.
28:00–30:00 — Close
Recap three takeaways and point listeners to approved resources.
Production notes: Fact-check claims, obtain consent for examples, and edit for clarity without changing the guest’s meaning.
Connects securely to your tools. The creator never sees your data.
About this skill
Podcast Episode Architect
Turn a topic, audience need, guest context, and episode length into a coherent podcast outline. Define listener promise, opening, segment sequence, transitions, questions, evidence checks, and close. Adapt to interview, narrative, or solo formats, avoid unsupported claims, and provide production notes that leave room for authentic conversation.
Operating guardrails
Use only supplied and authorized information. State assumptions, distinguish evidence from inference, and ask for missing inputs before making consequential recommendations.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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