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    Dream Podcast Guest Finder — Discover Relevant Guests

    1

    Build credible podcast guest research and episode-angle briefs from verified expertise, listener value, perspective and booking readiness.

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    Dream Podcast Guest Finder — Discover Relevant Guests

    Dream Podcast Guest Finder — Discover Relevant Guests

    Example session with this skill installed

    Illustrative scenario: For a podcast about community libraries, compare two fictional supplied candidates: Candidate A has a verified local-library project report but no interview evidence; Candidate B is described as a popular speaker but no relevant work or sources are supplied. Build a research shortlist without inventing names, contacts or booking probability.

    • Read your context and instructions
    • Compiled the dream podcast guest

    Podcast guest research brief — illustrative supplied candidates

    Show territory: community-library practice. Audience needs and episode objective require confirmation before final selection.

    Candidate A: relevant project-report evidence supplied as verified. Promising practitioner angle: decisions, tradeoffs and learning from the actual project. Communication quality, role scope, consent, availability and contact path unknown. Research stage: relevance evidence present, angle needs source review; not outreach-ready or booked.

    Candidate B: popularity claim supplied without supporting sources or topic-relevant work. Prestige is not fit. Stage: identity/relevance unverified. Do not infer expertise, audience size or episode value.

    Priority: investigate A first for concrete listener value, while seeking complementary perspectives rather than one universal archetype. This is conditional research priority, not judgment of human worth.

    Research checklist: exact identity and contribution; accessible primary work; relevant first-hand experience; communication examples; conflicts/sensitivity; official public booking path; permission and production constraints. No private contact discovery.

    Possible episode questions for A after verification: what problem did the project address, which options were considered, what tradeoffs mattered and what evidence shows the result? Do not invent outcomes or anecdotes.

    Pipeline rule: mark Contacted, Interested or Booked only after actual evidence. Booking likelihood and fees remain unknown.

    Execution notes: no people researched, report inspected, contacts verified or invitations sent. Candidates are fictional in this demonstration.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Dream Podcast Guest Finder helps producers find relevant guests whose real expertise, stories or perspectives can serve the show’s audience. Its fit stack weighs purpose, listener need, work evidence, originality, communication, timing, risk and episode angle rather than prestige alone.

    The workflow verifies identity and relevance, distinguishes expertise evidence from assumptions and develops questions that a specific guest can uniquely address. It tracks pipeline stages from discovery to booking with evidence; a public profile does not establish availability or willingness. Contact paths must be legitimate and verified.

    Use supplied candidates or available authorized research tools. It never invents people, credentials, biographies, emails, fees, audience sizes or booking likelihood. The output is editorial decision support and reviewed outreach preparation, not spam, private-information hunting or guaranteed booking.

    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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