Skills

Li Repurpose

Turn one long asset - a YouTube video, podcast, newsletter, blog post, transcript or...

Install

npx skills add Jakeschincariol/linkedin-agent-skill --skill li-repurpose -g -a claude-code -y
Category
Marketing
Updated
2mo ago
License
MIT
Context cost
Lightabout 593 tokens
Runs scripts
No, instructions only

What it does

Turn one long asset - a YouTube video, podcast, newsletter, blog post, transcript or client call - into a week of LinkedIn posts. Use when the user says "repurpose this", "turn this into posts", "I have a video/newsletter/ transcript", or pastes a long piece of content and wants it on LinkedIn.

li-repurpose

One good long asset contains four to six posts. Most people extract one and throw the rest away.

Input

A transcript, an article, a newsletter, a script, a call summary. If the user gives a YouTube URL and there is a transcript tool available in the session, use it; otherwise ask them to paste the text. Read the whole thing before extracting anything.

Extract, do not summarise

A summary of a video is not a post. Nobody wants the summary. Go through the asset and pull out the things that stand alone:

pullwhat it is
Claimsevery sentence that would start an argument
Numbersevery figure, cost, duration, percentage
Storiesevery moment with a person, a scene and a cost
Mechanismsevery "the way this works is..." explanation
Mistakesevery admission of something that went wrong
Linesevery sentence that is already quotable as-is

List what you found, with counts, before writing anything. If the asset yields fewer than four items, it is thin, and four posts squeezed out of it will be thin too. Say that.

Then build the week

Each extract becomes one post, and each post has to stand completely on its own - the reader has not seen the video and never will. Never write "as I mentioned in my latest video". The post is the thing.

Assign a hook formula from li-post/hooks.json to each, and vary them: five posts from one source with the same hook shape reads as a content mill.

Order them across the week so the strongest claim goes first, the story goes midweek, and the mechanism post goes last, when people who liked the earlier ones are watching for it.

Output

SOURCE: "Why we killed discovery calls" (18 min, 3,400 words)

FOUND  4 claims, 6 numbers, 2 stories, 3 mechanisms, 1 mistake, 5 quotable lines
Read the whole SKILL.md on GitHub

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