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linkedin-repurposer Checked

Repurpose existing content into a native LinkedIn post. Take a tweet, thread, YouTube video, blog…
✍️ Writing skills By sergebulaev Version v1.0.a2c536a Added 2026-09-15 Updated 2026-09-22 Source ↗
9.1Overall rating
2Views
13Downloads
2.4kStars

Installation

🤖 Install via AI

Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.

Install the "linkedin-repurposer" skill by following the instructions at https://skill123.me/install/linkedin-repurposer.
⌨️ Command line install

Run in your terminal — downloads and installs to ~/.claude/skills/.

curl -fsSL https://skill123.me/install/linkedin-repurposer.sh | bash
📦 Download ZIP

Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.

⬇ Download v1.0.a2c536a · 3 KB
📊 Static rating
9.1/10
Trigger
9.5
Structure
8.7
Workflow
8.4
Content
10.0
Engineering
9.0
Security
9.5

Six-dimension rubric with reviewer rationale.

View scorecard ↓
🛡 Dynamic test
—

Not live-tested yet — this skill is rated on static analysis only.

About this skill

Repurpose existing content into a native LinkedIn post. Take a tweet, thread, YouTube video, blog, or newsletter and rebuild it for LinkedIn: re-hook before the fold, expand to the 900 to 1300 char sweet spot, add whitespace and a CTA, move links to the first comment, run the humanizer, publish via Publora on approval. Not for writing from scratch (use linkedin-post-writer), not for auditing a draft (use linkedin-humanizer --mode audit).

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.

Documentation

Repurpose existing content into a native LinkedIn post. Take a tweet, thread, YouTube video, blog, or newsletter and rebuild it for LinkedIn: re-hook before the fold, expand to the 900 to 1300 char sweet spot, add whitespace and a CTA, move links to the first comment, run the humanizer, publish via Publora on approval. Not for writing from scratch (use linkedin-post-writer), not for auditing a draft (use linkedin-humanizer --mode audit).

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. If ../../references/story-bank.md has filled: yes, load it too and take concrete details (numbers, dates, named projects) from there instead of asking mid-draft. Never invent a figure that is not in it; if the bank has nothing that fits, ask the user or offer linkedin-interviewer.

View full documentation

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 20 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: 2026 AI vocab by density, em dashes above the cap (about one per 100 words), stacked rule-of-three triads, generic openers and reveal bridges. 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:

  • Keep the source's **claim and facts** intact. Repurposing changes the delivery, never the meaning or the numbers.
  • The hook must land in the first 210 characters, before the fold.
  • Never paste the source and trim. Rebuild the hook, length, and rhythm from the spine.
  • No external link in the post body. Offer to put it in the first comment.
  • Include at least one moment of real stakes or vulnerability. Keep the source's real numbers and named entities.
  • Do not name-drop the user's product as self-promo. One natural mention max.

Anti-patterns (skill will refuse)

  • Copy-pasting the source with light edits (that is not repurposing).
  • Keeping the source platform's artifacts ("link in bio", "smash subscribe", hashtag walls).
  • Shipping a tweet-length post with no whitespace or expansion.
  • All-caps first line ("THIS CHANGED EVERYTHING").
  • Em dashes above the cap (more than about one per 100 words), or an em dash swapped for a period.
  • Rule-of-three lists without receipts.
  • "leverage", "fundamentally", "game-changer", "deep dive".
  • External links in the body.
  • Meta throat-clearing ("I originally posted this on...").

Resources

  • ../../references/hook-formulas.md - the 20 formula skeletons to re-hook with
  • ../../references/algorithm-heuristics.md - 2026 posting rules (timing, format, length)

Related skills

  • linkedin-post-writer - write a fresh post from scratch
  • linkedin-humanizer - scrub AI tells, plus --mode audit to review the result
  • linkedin-hook-extractor - reverse-engineer a hook from a post you admire

Score breakdown

Trigger
9.5
Clear transform purpose with two explicit Not-For routings (post-writer, humanizer audit).
Structure
8.7
Single 75-line SKILL.md, appropriately minimal; depends on bundle-root references.
Workflow
8.4
Nine-step pipeline with per-source mapping rules, never-inject rule, approval card; source-URL fetching path undefined.
Content
10.0
Sharp writing with concrete per-platform rules and refusal anti-patterns.
Engineering
9.0
Correct frontmatter; bundle-root path references only; no scripts.
Security
9.5
Publish gated on approval; no scraping, credentials, or external endpoints of its own.
Clean single-file transform skill: extract spine, re-hook with 20 formulas, expand to 900-1300 chars, strip platform artifacts, humanize, approval card, routed publish. Per-source-type native-fit rules are concrete; no own references and no defined fetch path for source URLs.

Assessment methodology

🧪
AI-assessed
Evaluated by automated analysis across quality, usability, and security dimensions. This is not a substitute for your own review — always inspect a skill before installing it.

Version history

v1.0.a2c536a 2026-09-22
3 KB

— Refreshed from GitHub sergebulaev/linkedin-skills@a2c536a

v1.0.0 2026-09-15
3 KB

Imported from sergebulaev/linkedin-skills@main