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Podcast Guest Research & Interview Brief Creator
Turn guest sources and links into sourced background briefs, interview arcs, and host prep sheets.
$5
Podcast Guest Research & Interview Brief Creator
Example session with this skill installed
I'm interviewing Dr. Sarah Chen about her new paper on 'Algorithmic Bias in Healthcare Diagnostics.' Here is her bio and the abstract. Make a brief for a 45-minute technical podcast.
- Read your context and instructions
- Compiled the podcast guest research
- Generated the document
I have reviewed the bio for Dr. Sarah Chen and the abstract for 'Algorithmic Bias in Healthcare Diagnostics.' I have structured a 45-minute technical brief focused on the intersection of machine learning ethics and clinical outcomes.
Episode Snapshot
- Guest: Dr. Sarah Chen, Lead Researcher at BioTech Ethics Lab.
- Show and audience: Technical podcast; audience includes data scientists and healthcare providers.
- Topic: Algorithmic bias in diagnostic tools.
- Length: 45 Minutes.
- Source pack: Provided bio and paper abstract.
Episode Angles
| Angle | Audience relevance | Source basis | Possible takeaway |
|---|---|---|---|
| The Data Gap | Explains why models fail on specific demographics. | Abstract section on training data skew. | Better data collection standards. |
| Clinical Accountability | Who is liable when the AI makes a biased call? | Bio entry on regulatory consulting. | Understanding the legal landscape. |
Interview Questions
Segment 2: The Mechanics of Bias (15-30 mins)
- Dr. Chen, your paper identifies "proxy variables" as a primary source of bias. Can you explain how a seemingly neutral variable like a zip code becomes a proxy for race in a diagnostic model?
- You mentioned that "cleaning the data" isn't enough. Why does the bias often persist even after removing sensitive attributes?
- Probe: Can you walk us through a specific case where a model passed validation but failed in a clinical setting?
Host Prep Sheet
Intro: "Today we're joined by Dr. Sarah Chen. She’s the lead researcher at BioTech Ethics Lab and author of a pivotal new study on why AI diagnostics often leave marginalized groups behind. Sarah, welcome to the show."
Key Facts: Sarah previously advised the FDA on AI regulation. The paper focused on skin cancer detection algorithms.
- Pronunciation: Chen (Ch-en).
Next steps
- Review the "Data Gap" questions to ensure they aren't too entry-level for your audience.
- Confirm if you want to include the "Regulatory" segment or stay strictly on the technical paper.
- Add any specific recent news links about healthcare AI you want included in the follow-up bank.
podcast-guest-research-interview-brief-c.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Researching podcast guests is a massive time sink that often results in surface-level conversations. This skill automates the labor-intensive process of vetting sources, synthesizing guest backgrounds, and drafting non-obvious interview questions. It transforms your raw source links, articles, and bios into a structured production brief designed to keep the host informed and the conversation flowing.
What it does
- Source synthesis audits provided articles, books, and transcripts to extract recurring themes and specific milestones.
- Angle development generates distinct narrative paths for the episode based on show audience and guest expertise.
- Interview architecture maps out a logical arc from introduction through core concepts to practical takeaways.
- Question drafting creates open-ended, non-repetitive questions and targeted follow-up probes.
- Host prep delivery produces a copy-ready introduction, transition notes, and a verification checklist for recording day.
How it works
- Provide the guest name, episode goals, and source materials like links or document excerpts.
- The skill audits the source pack to identify key claims, credentials, and potential gaps in the data.
- Review the generated background brief and choose from the suggested episode angles.
- Receive a full run-of-show including timed segments, main questions, and a bank of follow-up probes.
Frameworks & tools
This skill is platform-agnostic and works with any text-based input from research tools, PDF transcripts, or web clippings. It outputs GitHub-flavored Markdown optimized for Notion, Obsidian, or Google Docs.
Why this beats prompting it yourself
Generic prompts often result in "hallucinated" guest bios or generic questions that guests have answered a hundred times. This skill enforces strict grounding rules, ensuring every question is tied to a specific source and every fact is verified against your provided materials.
Use cases
- Preparing for a technical deep-dive with a founder or industry expert.
- Developing a structured narrative arc for a long-form biographical interview.
- Rapidly generating a backup bank of follow-up questions for high-stakes recordings.
- Creating a standardized production brief for guest-facing podcast teams.
Known limitations
Does not perform live web searching unless your agent has an active browsing tool. Requires the user to provide the initial source material for accurate results.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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