repurpose-talk

name	repurpose-talk
description	Use when the user just gave a talk, panel, fireside chat, keynote, workshop, podcast, or webinar and wants content made from it — triggers like "I just gave a talk", "the panel is done", "just finished speaking", "turn my talk into LinkedIn posts", "repurpose this recording/transcript into posts, notes, or clips", or /repurpose-talk. Works from a recording, transcript, slides, or a from-memory brain-dump.
trigger	/repurpose-talk
version	1.0.0

Repurpose Talk

Turn a single speaking engagement into maximum content leverage. Run this after any talk, panel, fireside chat, or workshop.

Trigger

/repurpose-talk or when the user says "I just gave a talk", "the panel is done", "just finished speaking"

Input

Ask for (in this order, skip any they don't have):

1. Recording - video/audio file path or link
2. Transcript - if available (check meeting note tools, Google Docs, or manual notes)
3. Slides - if used
4. If none of the above: ask them to brain-dump the key points, best audience reactions, and any quotes they remember

Process

Phase 1: Extract (from whatever input is available)

Pull out:

• 3-5 key insights they shared (the things that made people nod or take notes)
• 1-2 stories they told (personal anecdotes are the highest-performing content)
• Best one-liners (quotable sentences, these become standalone posts)
• Audience questions that came up (each question is a content seed)
• The main thesis of the talk in one sentence

Phase 1.5: Score clip candidates against the virality framework

For each candidate moment (one-liner, story beat, question, insight), tag which virality category it hits. Cherry-picked from SamurAIGPT/Generative-Media-Skills ai-clipping SKILL.md (MIT) — 8 categories that explain WHY short-form clips travel:

• Hook moments — strong opening line that stops the scroll
• Emotional peaks — laughter, anger, vulnerability, awe
• Opinion bombs — spicy, contrarian, debate-bait takes
• Revelation moments — "wait, what?" reframes
• Conflict — disagreement, tension, callouts
• Quotable lines — tight, screenshot-worthy phrasing
• Story peaks — climax of a narrative arc
• Practical value — actionable insight a viewer will save

A clip that hits 2+ categories is a stronger pick than one that hits 1. A clip that hits 0 isn't worth packaging — drop it.

The taxonomy is FOR RANKING + EXPLAINING, not for inventing content. Every clip still has to come from the actual talk; never confabulate a "spicy take" the speaker didn't make.

Phase 2: Generate Content Package

Create all of the following:

LinkedIn Posts (3-5)

• Each post: 150-300 words, first-person, starts with a hook line
• One post per key insight
• No AI-sounding language. Run through humanizer principles if available.
• End each with a question to drive comments
• Format: hook line, story/context, insight, question

Short-Form Notes (5-8)

• Short-form (1-5 sentences each)
• Mix of: one-liners, micro-stories, questions, frameworks
• If using Substack: append to the Substack Notes drafts file
• If using another platform: save to a drafts file in the vault

Article Seed (1)

• If the talk contains enough for a full essay, create an article seed
• Title + 2-3 paragraph draft expanding the talk's core thesis

Video Clip Plan (if recording exists)

• Timestamp markers for the 3-5 best 30-60 second clips
• Suggested caption for each clip
• Which platform each clip is best for (LinkedIn, Instagram Reels, TikTok)

Phase 3: Schedule

• Suggest a 2-week posting calendar: which piece goes out when
• Rule: never post more than 1 LinkedIn post per day, 2 short-form notes per day
• Space the content to maximize reach (don't dump everything day 1)

Phase 4: Cross-pollinate

• Identify any business angles (if the talk was about their industry/product)
• Flag any investor-relevant soundbites for fundraising narrative
• Note any audience members worth following up with (add to CRM if names given)

Output

Save the full content package to the Writing folder: Talk Repurpose - [Event Name] - YYYY-MM-DD.md Append short-form notes directly to the drafts file. Open the main file in Obsidian when done (if Local REST API is available).

Rules

• Use the user's actual voice. Read 2-3 of their published posts first to calibrate tone.
• No em dashes anywhere.
• Run humanizer principles on every piece if the humanizer skill is available.
• If the talk was in a non-English language, create content in BOTH languages (primary + secondary audience).
• Every LinkedIn post must be standalone (someone who didn't attend the talk should understand it).