Linkedin Repurposer

LinkedIn Repurposer

One good asset is a week of content. This skill mines a single source for the five strongest ideas and shapes each into something the buyer reads.

Inputs

• The source asset (a call transcript, a doc, a win, a long post): $ARGUMENTS
• The brief (lanes, voice profile, offer, pains) loads automatically.

Do this

1. Read the source. Pull the 5 strongest ideas: the ones that prove a competence the buyer pays for, not the ones that are merely interesting.
2. Map each idea to a content lane from the brief and a hook formula (contrarian take, before/after, list, story open loop, hard number).
3. Draft a post stub for each: lane, hook, one-line angle. Stub only, not the full post.
4. Pull the single best idea into a carousel outline (title slide plus 5 to 7 slide lines).
5. Pull one idea into a short DM nudge that opens a conversation off the back of the asset.
6. Anonymise as you go: keep the real numbers and outcomes, drop every name (people, companies, clients). A number stays "a client" or "an operator".

Output

• Five post stubs, each labelled with its lane, hook formula, and angle.
• One carousel outline (title plus slide lines).
• One DM nudge (two short lines).

End with a one-line note: run /linkedin-humanizer on any stub before drafting it full, and hand the DM nudge to /linkedin-first-dm if it targets a specific prospect.

Rules

• Anonymise everything. No real person, company, or client names. Keep the numbers, drop the source.
• Every piece must prove a competence the buyer buys. Cut the interesting-but-unsellable.
• Stubs and outlines only. Claude drafts, the operator approves and posts.
• No em-dashes.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: styfinity
• Source: styfinity/linkedin-engine
• License: MIT
• Homepage: https://styfinity.com

Install and usage instructions live in the source repository linked above.