Repurpose source content into Threads-ready posts or threads for founders, creators, and consultants. Use when the user wants to turn a blog post, transcript...
设计与多媒体
Cross Platform Repurposing
试用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 post...
它能做什么
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.
技能文档
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:
- Stands alone — someone who only sees this one post gets full value (no "as I said on LinkedIn…").
- 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-scriptto 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.
相关技能
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