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Repurposing long content across platforms v1.0.0

Use this resource to turn long-form content into posts adapted to each platform

New

  • 533 downloads
  • 156 likes
  • 210 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install long-form-content-repurposing

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent extracts the core ideas of the content, chooses formats, then rewrites each idea for the target platform. You get an idea inventory, one package per platform and a posting order.

Mostly picked by

Updated November 2, 2026

Card for the “Repurposing long content across platforms” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: idea inventory and format choice
  • SKILL.md: publishing package and distribution order

Good fit for

  • You have a blog article to bring to social networks
  • A podcast should yield LinkedIn posts and X threads

Not for

    Tags

    • repurposing
    • content
    • multi-platform
    • distribution

    About

    You say

    “Turn this article into three LinkedIn posts, an X thread and a newsletter item.”

    Card for the “Repurposing long content across platforms” skill

    Skill published by sanky369 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to turn long-form content into posts adapted to each platform
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md8.5 KB

    Origin and licence

    Listed unmodified

    Author
    sanky369
    Source
    github.com/sanky369/vibe-building-skills/tree/e9714d8decbc9a76eaab3bd85866117b8010e9bc/skills/marketing/content-atomizer
    Licence
    MIT

    Notice

    « content-atomizer » (sanky369, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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