LinkedIn Repurposer

LinkedIn Repurposer

Turn something you already made into a post that reads like it was written for LinkedIn. Repurposing is not copy-paste. A tweet that flew on X will flop pasted into LinkedIn: too short, no whitespace, wrong rhythm, and a link in the body that tanks your reach.

This skill transforms, it does not generate. It reads your source, keeps the idea, and rebuilds the delivery for LinkedIn's 2026 algorithm.

When to use

• "Turn this tweet / thread into a LinkedIn post"
• "Repurpose my YouTube video / blog / newsletter for LinkedIn"
• "This worked on Threads, adapt it for LinkedIn"
• "I have a rough idea in another format, make it native here"

Not for a blank-page draft (use linkedin-post-writer) and not for reviewing a finished LinkedIn draft (use linkedin-humanizer --mode audit).

How it works

Voice profile first (all drafts). If ../../references/voice-profile.md has filled: yes, load it and match the user's voice fingerprint, hard rules, and CTA/link style throughout. If it is not filled, mention once that linkedin-humanizer --mode profile can learn their voice from a few posts, then proceed with the generic voice rules.

1. Take the source. Any format: a tweet or thread, a video or script, a blog paragraph, a caption, a transcript, a bullet list, a link to read. Ask for the source and the goal (comments / reposts / likes / saves) if not given.
2. Extract the spine. Strip the source platform's shell and pull out the one claim, story, or number worth keeping. Repurposing fails when it keeps the words instead of the point.
3. Re-hook for LinkedIn. The hook must land in the first 210 characters, before the "...see more" fold. The source's hook rarely survives; write a new first line using one of the 16 formulas in ../../references/hook-formulas.md, picked by the goal.
4. Expand to LinkedIn length. X compresses; LinkedIn breathes. Grow the spine into the 900 to 1300 char sweet spot: short paragraphs, double line breaks between ideas, one concrete detail per beat. A dense tweet becomes 4 to 6 short paragraphs, not a wall.
5. Add the LinkedIn shape. Whitespace between ideas, a moment of real stakes or vulnerability (pure-insight posts do not land in 2026), and one clear closing question or CTA.
6. Fix links and artifacts. Move any external link to the first comment (in-body links suppress reach). Strip off-platform artifacts: hashtag walls, "link in bio", "smash subscribe", X @-handles, "as I tweeted" throat-clearing. 0 to 2 hashtags at the end.
7. Humanizer pass. Run the scrub: em dashes, AI vocab, rule-of-three, generic openers. Keep the user's real numbers and named entities from the source.
8. Approval card. Show: source -> LinkedIn mapping (what became what), formula used, char count, suggested posting window (Tue/Wed/Thu 7:30 to 9:00 AM local), the link-in-first-comment note.
9. On approval. Publish via lib.publish(kind="post", draft_text=<approved>, target_url="https://www.linkedin.com/post/new/", platforms=[{"platform":"linkedin","platformId":<id>}], scheduled_time=<iso_or_None>). The wrapper handles Publora / manual / diy routing.

Native-fit rules (source -> LinkedIn)

• Tweet -> LinkedIn: expand, do not paste. One tweet is a hook; grow the argument underneath it with whitespace.
• X thread -> LinkedIn: unroll into one flowing post, not a numbered list. Keep the best line as the hook.
• YouTube video / script -> LinkedIn: lead with the payoff, then the story of how you got there. Link the video in the first comment.
• Blog / newsletter -> LinkedIn: pick the single most quotable claim as the hook, then the one story that proves it. Do not summarize the whole piece.
• Instagram / TikTok caption -> LinkedIn: strip emoji density and hashtag blocks; add the professional stakes LinkedIn rewards.

Hard rules

Global voice rules: see root SKILL.md §Voice rules. Additional skill-specific rules: