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Cross platform repurposing

Skill social-media-skills/skills/skills/cross-platform-repurposing

106 social media skills for AI agents - strategy, writing, video, design, platform growth, publishing, and analytics. Works with Claude, Cursor, OpenClaw, Hermes & 40+ agents.

Install
npx -y skills add social-media-skills/skills --skill cross-platform-repurposing

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What its author says it does

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Use to turn one piece of content into multiple platform-native posts — adapt, never copy-paste. Run when the user says "repurpose this," "turn this into posts for every platform," "cross-post," "make this work on TikTok/LinkedIn/X too," "one idea into a week of content," "turn this blog/video/podcast into social posts," or wants to fan content out. Reads brand-profile and voice first, extracts the core idea, then re-natives it for each platform (different hook, format, length, mechanics, CTA) using the content skills, and hands the fan-out to scheduling-and-queue. This is the multiplier that makes a content operation sustainable — but every version must stand on its own and feel native, never duplicated.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Cross-Platform Repurposing

This skill turns one idea into many posts — the single biggest lever for producing content sustainably. One blog post becomes a week of social; one strong insight becomes five platform-native posts. It's how a small team posts like a big one.

The principle that makes it work — and the trap that ruins most attempts:

Repurposing is not reposting. Pasting the same caption onto every platform is the lazy version: it fits none of them natively, it looks like spam to anyone who follows you in two places, and several platforms quietly suppress obviously cross-posted content. The craft is atomize → adapt: extract the core idea, then rebuild it natively for each target — a different hook, format, length, and CTA, same truth and voice.

When to use this

  • Fan one post out across platforms (one → many).
  • Atomize a long piece (blog, video, podcast, newsletter) into many short posts (long → short).
  • Convert one format into others (a written insight → a carousel, a Reel, a thread).
  • Inside batch-content-plan, to stretch limited raw material into a full calendar.

When NOT to use it: when content is genuinely platform-specific (an in-joke, a platform-native trend, a reply) — forcing it elsewhere reads wrong. And when the audience overlaps almost entirely on two platforms, vary the angle, don't just relocate the post. Know when a piece shouldn't travel.

Step 0 — Read the foundation first

Load brand-profile.md and voice.md. Voice stays constant across platforms; register shifts per platform (use the voice tone-map — LinkedIn more formal, TikTok looser). Carry guardrails everywhere.

Step 1 — Atomize: find the core idea

Extract the reusable atom from the source — the point, the insight, the story, the stat, the moment. For a single post that's usually one atom; for long-form (a blog, a 20-minute video) it's several atoms, each strong enough to be its own post. Don't summarize a long piece into one weak post — pull its best 5–10 atoms. See references/repurposing-model.md.

Step 2 — Pick targets and direction

Decide the platforms and the direction of the repurpose (one→many, long→short, format→format, video↔text — see references/source-types.md). Direction determines the mechanics.

Step 3 — Re-native per platform (don't translate, rebuild)

For each target, rebuild the atom natively — composing the right skills:

  • A new hook per platform (hook-writer) — what hooks on a LinkedIn feed differs from a TikTok first frame.
  • The right format and length for that platform.
  • The copy (caption-writer), the script if video (reels-script), or the thread (thread-writer).
  • Native mechanics — hashtags, links (bio vs clickable vs comments), CTA.

What stays the same: the atom and the voice. What changes: hook, format, length, structure, CTA, mechanics, register. See references/platform-transforms.md.

Step 4 — Quality-check: does each stand alone and feel native?

Every version must pass two tests:

  1. Stands alone — someone who only sees this one post gets full value (no "as I said on LinkedIn…").
  2. Feels native — it looks built for this platform, not relocated. If you can tell it was copy-pasted, rebuild it.

If two platforms share most of the audience, change the angle between them, not just the formatting.

Step 5 — Hand off to scheduling

Pass the finished, per-platform versions to scheduling-and-queue to schedule/fan out (it confirms and validates first; WoopSocial applies per-platform fields). Space them out — don't fire the same idea everywhere at the same minute.

Quality bar — self-check

  • Did you atomize (extract the core idea) rather than translate the wrapper?
  • Is each version genuinely native — different hook, format, length, CTA — not copy-paste?
  • Does each stand on its own?
  • Is the voice constant with the register shifted per platform?
  • For long-form, did you pull multiple atoms, not one summary?
  • Did you recognize anything that shouldn't be repurposed?

If two versions are the same text with different hashtags, you reposted — go back to Step 3.

Edge cases

  • Heavy audience overlap across platforms → vary the angle/format between them so followers don't see the same post twice.
  • Platform-specific content (trends, replies, in-jokes) → don't force it elsewhere; say so.
  • Long-form with one idea → it's one atom; don't manufacture filler to hit a post count.
  • Video → text → pull the spoken insights/quotes as written atoms; don't just transcribe.
  • Text → video → hand the atom to reels-script to build it as a video, don't read the caption aloud.
  • Regulated/sensitive → carry compliance guardrails into every version.

Related skills

  • brand-profile, voice-builder — voice + register + guardrails.
  • hook-writer — a fresh hook for each platform.
  • caption-writer, reels-script, thread-writer — build each native version.
  • content-recycling — repurposing across time (refresh evergreen later).
  • captions-and-clipping, opus-clip — cutting clips from long video (podcasts, webinars) at depth.
  • batch-content-plan — uses this to stretch material into a calendar.
  • scheduling-and-queue — schedules/fans out the finished versions.

References

  • references/repurposing-model.md — atomize → adapt; what stays vs changes; the directions.
  • references/platform-transforms.md — how one idea becomes each platform's native post.
  • references/source-types.md — repurposing by source/direction (long-form, fan-out, cross-medium).
  • references/examples.md — one idea → five native versions, and a long-form atomization.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.