ElasticFlow
AI SkillRepurposeMarketingby Gooseworks

Content Repurposer — one asset becomes ten

Runs on
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Turn one long-form asset into 10+ derivative pieces

  • Takes a long-form asset and produces 10+ derivative pieces
  • Generates LinkedIn posts, X threads, and email snippets
  • Creates short-form hooks and pull-quotes per asset
  • Pure reasoning skill — no scraping or scripts
  • Works with blog posts, webinars, podcasts, and articles

Who this is for

Content Marketer

You plan content calendars, write for SEO, and measure what works. These skills handle strategy, copywriting, editing, and social distribution.

See skills for this role

What it does

Maximize content investment

Get 10x distribution per blog post without writing each variant from scratch.

Founder content engine

Founders post one long-form thought and get a week's worth of social copy out of it.

Podcast episode amplification

Turn every podcast into LinkedIn posts, threads, pull-quotes, and email snippets.

How it works

1

Take a long-form asset as input (blog, transcript, article)

2

Identify the core ideas and most quotable moments

3

Generate format-specific variants for each channel

4

Adjust tone per channel (casual for X, formal for LinkedIn)

5

Output a complete distribution kit

Metrics this improves

Engagement
More social engagement from distributing one asset across many channels in native formats
Marketing
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In the same department: Marketing (67 skills total)
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Content Repurposer

Pure reasoning skill. Takes one long-form asset and fans it out into 10+ channel-specific derivative pieces — all aligned to the author's brand voice.

When to Use

  • "Turn this blog post into LinkedIn content"
  • "Repurpose this webinar into tweets and an email"
  • "I have a podcast episode, help me get more mileage from it"
  • "Turn this into posts I can schedule for the next two weeks"

Phase 0: Intake

Ask all questions at once, organized clearly. Keep it fast — this skill should feel frictionless.

Source Content

  1. Paste the content OR share the URL (blog post, LinkedIn article, transcript, etc.)
  2. What is the core insight or argument of this piece? (Summarize in 1-2 sentences)

Author Context

  1. Who is the author? (Title, company, area of expertise)
  2. What is their tone? (Casual/direct, professional, storytelling, data-driven — or share a sample post)
  3. Who is the audience? (ICP title, industry, stage)

Output Preferences

  1. Which channels do you want output for? (LinkedIn, Twitter/X, email snippet, or all three — default: all)
  2. Any specific hooks, stats, or quotes from the piece that must be included?

Phase 1: Extract Source Intelligence

Before writing any variants, extract the following from the source content:

  • Core thesis — The single most important claim or insight
  • Top 3 supporting points — Evidence, examples, or sub-arguments
  • Best data/stats — Numbers, percentages, benchmarks
  • Best quotes — 2-3 pull-quote candidates
  • Contrarian angle — What conventional wisdom does this challenge?
  • Specific examples — Named companies, people, tools, events
  • Emotional hook — The frustration, aspiration, or fear this piece speaks to

Phase 2: Generate Derivative Pieces

LinkedIn Posts (generate 4-5 variants)

TypeStructureLength
Insight postHook → 3 supporting points → CTA150-300 words
ListicleHook → numbered list (5-10 items) → close200-350 words
Contrarian takeUnpopular opinion → why → evidence → implication100-200 words
Personal storySituation → problem → turning point → lesson150-250 words
Data postStat hook → context → implication → question80-150 words

LinkedIn formatting rules:

  • First line must hook without finishing the sentence (forces "see more")
  • Use line breaks liberally — one idea per line for scanability
  • No bullet points in first 3 lines
  • End with a question or call to reflect — not a CTA to buy
  • Emojis optional — match the author's existing style

Twitter/X Thread (generate 1-2 threads)

  • Thread length: 5-8 tweets
  • Tweet 1: The payoff, not the setup. State the insight directly.
  • Tweets 2-6: One supporting point per tweet. Short, punchy.
  • Tweet 7: Callback to tweet 1 with reframed conclusion
  • Tweet 8 (optional): Soft CTA — "I wrote about this in depth: [link]"

Each tweet: max 240 chars. No jargon. End threads with the strongest line.

Email Snippet (generate 1-2 variants)

Format for use in newsletters, nurture sequences, or cold outreach PS lines.

TypeLengthUse Case
Newsletter blurb80-120 wordsWeekly digest, newsletter intro
PS line20-40 wordsCold email personalization layer

Short-Form Hooks (generate 5-8 standalone hooks)

One-liner openings that work across contexts. Can be used to A/B test posts or as standalone comments.

Examples of good hooks:

  • "Most [role]s get [topic] completely backwards."
  • "The [thing everyone does] is why [bad outcome]."
  • "[Number] years ago, [company/person] did [thing]. Here's what happened."
  • "Unpopular opinion: [claim]."
  • "The real reason [common problem] happens isn't [assumed cause]."

Pull-Quotes (generate 3-5)

Shareable quotes formatted for screenshots or image posts. Should stand alone without needing context.

Phase 3: Review & Deliver

Present outputs organized by channel:

## Source Summary
Core thesis: [1 sentence]
Top 3 points: [bullets]

## LinkedIn Posts
### Post 1 — [Type]
[Full post text]

### Post 2 — [Type]
[Full post text]

...

## Twitter/X Thread
Tweet 1: [text]
Tweet 2: [text]
...

## Email Snippets
### Newsletter Blurb
[text]

### PS Line Options
- [option 1]
- [option 2]

## Short-Form Hooks
1. [hook]
2. [hook]
...

## Pull-Quotes
> "[quote]"
> "[quote]"

Iteration Rules

  • User picks their 2-3 favorite variants → refine only those
  • Max 2 rounds of revision per channel
  • If the author has existing posts to match, ask them to paste 1-2 examples before generating

Tools Required

None. Pure reasoning. Works with any LLM agent.