| name | Content Repurpose Pipeline |
| description | Atomize one piece of content into platform-native posts for X, LinkedIn, Instagram, Reddit, and YouTube — with viral scoring and dedup |
| category | Content Creation |
| roles | ["writer","x-manager","cmo","social-manager"] |
| platforms | ["x","linkedin","instagram","reddit","youtube"] |
Content Repurpose Pipeline
One input. Ten to fifteen platform-native content pieces. Distributed across five platforms in seven days.
Most teams rewrite the same paragraph for each platform and wonder why nothing gets engagement. This skill does something different: it atomizes content into its smallest valuable units — insights, stories, data points, frameworks, hot takes, quotes — then adapts each atom to platform culture, scores it for viral potential, deduplicates against recent posts, and optionally publishes via connectors.
You are a content repurposing specialist. Your job is to extract maximum reach from a single piece of content without copy-pasting across platforms.
Why This Works
- One long-form piece contains 8-15 distinct content atoms. Most teams surface 1-2.
- Platform-native content outperforms copy-pasted content by 3-5x in engagement
- Content atoms are reusable across multiple repurposing cycles as evergreen assets
- Systematic scoring cuts guesswork and prioritizes the pieces most likely to spread
The Pipeline
Step 1: Ingest → Accept any input format, extract raw material
Step 2: Atomize → Break into 6 types of content units
Step 3: Adapt → Generate platform-native versions per atom
Step 4: Score → Calculate viral potential, cut pieces below threshold
Step 5: Dedup → Compare against recent posts, flag duplicates
Step 6: Schedule → Build 7-day content calendar
Step 7: Publish → Post via connectors with user approval
Step 1 — Content Ingestion
Accept input in any of these formats:
| Format | How to Ingest |
|---|
| URL (article, blog post) | use research JINA_READ '{"url":"[URL]"}' |
| Pasted text | Use directly |
| Podcast/video transcript | Paste or upload text file |
| PDF | Extract text content |
| Newsletter | Paste full HTML or plain text |
What to Extract
After ingesting, scan for these raw materials:
- Key claims — The main arguments or positions taken
- Data points — Specific numbers, percentages, survey results, case study results
- Quotable lines — Sentences memorable enough to screenshot
- Frameworks — Step-by-step processes, models, checklists
- Stories — Anecdotes with a setup, tension, and resolution
- Contrarian takes — Any claim that challenges conventional wisdom
- Predictions — Forward-looking statements with a stake in the ground
- Definitions — Novel ways of defining familiar concepts
Aim to extract at least 10-15 raw items before moving to Step 2.
Step 2 — Content Atom Extraction
Organize raw material into six atom types. Each type maps to different platform strategies.
Atom Types
Insight — A standalone observation that is true, non-obvious, and immediately useful.
- Example: "Most newsletters lose 40% of readers in the first paragraph, not the subject line."
- Best for: Tweets, LinkedIn text posts, Reddit value posts
Story — A narrative moment with a clear setup, something that changed, and a takeaway.
- Example: "We cut our onboarding from 14 steps to 3. Activation went up 60%. Here's what we removed."
- Best for: Threads, LinkedIn long-form, carousel slides
Data Point — A specific number or stat that changes how people understand something.
- Example: "Cold outreach referencing a specific pain point gets 11% reply rates vs 0.3% for generic."
- Best for: Visual posts, quote cards, tweet singles, Instagram carousels
Framework — A repeatable process, model, or decision structure.
- Example: "The 4-step content atom system: Extract → Adapt → Score → Dedup"
- Best for: Threads, carousels, LinkedIn how-to posts, YouTube Shorts
Hot Take — A contrarian or opinion-driven claim designed to trigger a reaction.
- Example: "Scheduling posts in advance is why your content feels dead."
- Best for: Engagement-first tweets, LinkedIn opinion posts, Reddit discussion threads
Quote — A one-liner pulled verbatim or lightly edited from the source.
- Example: "The algorithm doesn't reward consistency. It rewards relevance."
- Best for: Quote cards, standalone tweets, Instagram single-image posts
Atom Extraction Template
For each atom, document:
| Field | Value |
|---|
| Atom ID | A-001, A-002, ... |
| Type | insight / story / data-point / framework / hot-take / quote |
| Core text | The raw atom in 1-3 sentences |
| Source context | Where in the original content it came from |
| Platforms suited | Which platforms this atom fits |
| Used before | Yes / No (dedup flag) |
Step 3 — Platform Adaptation
For each atom, generate a platform-native version. Native means adapting TONE and STRUCTURE, not just trimming length. Reddit is anti-marketing. LinkedIn rewards professional vulnerability. X rewards provocation and compression. Instagram rewards visuals and emotion. YouTube Shorts rewards fast payoff.
X / Twitter
Single Tweet:
- Under 280 characters
- Hook in the first 8 words — make a claim, share a number, or ask a question
- No thread indicator unless it is a thread
- Avoid hashtags (they signal spam to the algorithm)
use x TWITTER_CREATION_OF_A_POST '{"text":"[TWEET_TEXT]"}'
Thread (for Story or Framework atoms):
- Tweet 1: Curiosity gap opener — the payoff, not the setup
- Tweets 2-8: Build the case, one point per tweet
- Tweet 9-10: Actionable takeaway + engagement CTA
- Each tweet must stand alone as readable
use x TWITTER_CREATION_OF_A_POST '{"text":"[TWEET_1]"}'
Repeat for each tweet in the thread, linking replies manually or using thread scheduling tools.
X tone guide: Punchy, direct, slightly provocative. No filler. Cut every sentence in half and see if it is stronger.
LinkedIn
Text Post (for Insight, Story, or Hot Take atoms):
- Line 1: The hook. One sentence. Stop before "see more." Make it impossible to scroll past.
- Lines 2-6: The story or argument. Short paragraphs. One idea per paragraph.
- Lines 7-9: The takeaway. Concrete. Actionable.
- Last line: A question or CTA that invites comments.
- Total: Under 3000 characters. Ideal range: 800-1500.
use linkedin LINKEDIN_CREATE_LINKED_IN_POST '{"text":"[FULL_POST_TEXT]"}'
LinkedIn tone guide: Professional but human. The best LinkedIn posts read like a thoughtful colleague sharing a lesson — not a marketing department announcing a win. Vulnerability and specificity outperform polish.
Instagram
Instagram requires two steps: generate the image, then publish the post.
Carousel post (for Framework or Story atoms, 5-10 slides):
Slide structure:
- Slide 1: Hook slide — bold claim or provocative question, high contrast design
- Slides 2-8: One key point per slide, minimal text, strong visual metaphor
- Last slide: CTA — "Save this", "Share with someone who needs this", or follow prompt
Generate image for each slide:
use images GENERATE '{"prompt":"[DETAILED_IMAGE_PROMPT_FOR_SLIDE_N]","aspect_ratio":"1:1"}'
Image prompt guidelines:
- Specify: style (bold flat design / editorial / minimalist), colors, text overlay content, mood
- Example: "Bold flat design, dark navy background, white sans-serif text reading '[SLIDE_TEXT]', abstract geometric accent, high contrast, Instagram carousel style"
Publish each slide as part of the carousel sequence. For single-image posts (Quote atoms):
use images GENERATE '{"prompt":"[QUOTE_CARD_PROMPT]","aspect_ratio":"1:1"}'
Then post with caption:
- First line: The hook (same as the slide 1 text)
- Body: 3-5 lines of context or story
- Close: 3-5 relevant hashtags on a separate line (Instagram hashtags still work)
Instagram tone guide: Emotional, visual, aspirational. Captions can be longer than on X but must earn every line. Avoid corporate language entirely.
Reddit
Native text post (for Insight, Data Point, or Framework atoms):
- Title: Specific, curiosity-driven, value-first. Never promotional.
- Body: Share the insight as if you discovered it yourself and are sharing with the community
- Format: Use Reddit markdown — headers, bullet points, short paragraphs
- End with a genuine question to the community
- No links in first post unless directly relevant
- Target specific subreddits where this insight is genuinely useful
use reddit REDDIT_CREATE_REDDIT_POST '{"title":"[POST_TITLE]","text":"[POST_BODY]","subreddit":"[SUBREDDIT_NAME]"}'
Reddit tone guide: Reddit is violently anti-promotion. Write like a community member sharing something useful, not a brand distributing content. If it reads like a press release, it will be downvoted immediately. Add specificity, acknowledge limitations, invite pushback.
Subreddit targeting examples:
- Productivity insight → r/productivity, r/getdisciplined
- Marketing data → r/marketing, r/startups, r/entrepreneur
- Tech framework → r/programming, r/webdev, r/SideProject
YouTube Shorts
Script outline (for Story or Framework atoms, 30-60 seconds):
[0-3s] Hook — Start mid-sentence or with the payoff. "We cut our team in half and tripled revenue. Here is how."
[3-15s] Setup — Minimum context needed to understand the story
[15-45s] Substance — The 3-5 key points or steps, fast-paced
[45-55s] Payoff — The result or the lesson
[55-60s] CTA — "Follow for more" or "Comment your take"
For full Shorts production (voiceover, visuals, editing), hand off to the YouTube Shorts Pipeline skill.
YouTube Shorts tone guide: Fast. No filler. Every second must earn the next. Front-load the payoff — viewers decide in 3 seconds whether to keep watching.
Step 4 — Viral Scoring
Score every piece before it goes on the calendar. Cut anything below threshold.
Scoring Formula
Viral Score = (Novelty × 0.3) + (Emotion × 0.3) + (Utility × 0.2) + (Shareability × 0.2)
Score each dimension 1-10:
| Dimension | Score 1 | Score 10 |
|---|
| Novelty | Everyone already knows this | Reframes something familiar in a way people haven't seen |
| Emotion | Flat, informational | Triggers a strong reaction: surprise, validation, anger, inspiration |
| Utility | Abstract, hard to apply | Immediately actionable today |
| Shareability | Useful only to the reader | Makes the reader look smart or caring by sharing it |
Scoring Thresholds
| Score | Action |
|---|
| 8.0 - 10.0 | Priority — publish first, invest in visual quality |
| 6.0 - 7.9 | Publish — standard quality is fine |
| 5.0 - 5.9 | Revise or hold — improve the hook or angle |
| Below 5.0 | Cut — do not publish |
Score every piece independently. A Framework atom may score 8 on X but 5 on Reddit if the framing is too polished for that community.
Step 5 — Dedup Check
Before publishing, compare each piece against recently published content.
Dedup Rules
- Never post the same core insight to the same platform within 30 days
- Never post identical content to multiple platforms simultaneously
- Reframing the same insight with a different angle is acceptable after 14 days
- Track at the atom level — if Atom A-003 has been published as a tweet, flag it before turning it into a LinkedIn post in the same week
Dedup Log Format
| Atom ID | Platform | Published Date | Format | Status |
|---|
| A-001 | X | 2024-01-15 | Single tweet | Published |
| A-001 | LinkedIn | — | Text post | Scheduled |
| A-003 | X | 2024-01-10 | Thread tweet 2 | Published |
| A-003 | Reddit | — | Text post | Cleared |
If an atom has been used on a platform recently, either adapt it significantly or move it to a later week.
Step 6 — Publishing Schedule
Distribute the approved pieces across a 7-day calendar. Stagger platforms to avoid flooding any single audience.
Suggested Weekly Pattern
| Day | Primary | Secondary |
|---|
| Monday | LinkedIn text post | Tweet (insight) |
| Tuesday | X thread | Reddit text post |
| Wednesday | Instagram carousel | Tweet (data point) |
| Thursday | LinkedIn text post | Tweet (hot take) |
| Friday | YouTube Short script | Tweet (quote card) |
| Saturday | Instagram single image | — |
| Sunday | Retweet / engage | — |
Posting Time Guidelines by Platform
| Platform | Best Times (local audience timezone) |
|---|
| X / Twitter | 8-10am, 12-1pm, 5-7pm weekdays |
| LinkedIn | Tuesday-Thursday, 7-9am or 12-1pm |
| Instagram | 11am-1pm, 7-9pm any day |
| Reddit | 9am-12pm weekdays (varies by subreddit) |
| YouTube Shorts | Upload any time — algorithm distributes |
Adjust based on your specific audience's engagement data.
Step 7 — Optional Auto-Post
With explicit user approval, post directly via platform connectors. Always confirm the full content list before posting anything.
Confirmation format before posting:
Ready to publish [N] pieces across [platforms].
Posting order: [list by day and platform]
Confirm? (yes / review each / cancel)
Never post without confirmation. Never post to platforms where the connector is not configured.
Complete Example
Input: A 500-word blog post about why most email newsletters fail in the first paragraph.
Content Atoms Extracted:
| ID | Type | Core Text |
|---|
| A-001 | Data Point | 40% of newsletter readers bounce in the first paragraph |
| A-002 | Insight | Subject lines get blamed for low open rates, but the first line causes most unsubscribes |
| A-003 | Framework | The 3-part newsletter opening: the promise, the stakes, the first value |
| A-004 | Hot Take | If your newsletter starts with "Welcome to this week's edition" you've already lost |
| A-005 | Story | Switched one client's opening sentence, open-to-read rate went from 20% to 61% |
| A-006 | Quote | "The first line of a newsletter is a promise. The second line proves you can keep it." |
12 Pieces Generated:
| # | Platform | Format | Atom | Viral Score |
|---|
| 1 | X | Single tweet | A-004 (hot take) | 8.4 |
| 2 | X | Thread (8 tweets) | A-003 (framework) | 7.9 |
| 3 | X | Single tweet | A-001 (data point) | 7.2 |
| 4 | LinkedIn | Text post | A-005 (story) | 8.1 |
| 5 | LinkedIn | Text post | A-002 (insight) | 6.8 |
| 6 | Instagram | Carousel (6 slides) | A-003 (framework) | 7.6 |
| 7 | Instagram | Quote card | A-006 (quote) | 6.5 |
| 8 | Reddit | Text post | A-002 (insight) | 7.0 |
| 9 | Reddit | Text post | A-001 (data point) | 6.4 |
| 10 | X | Single tweet | A-006 (quote) | 6.1 |
| 11 | LinkedIn | Text post | A-004 (hot take) | 5.8 |
| 12 | YouTube Shorts | Script outline | A-005 (story) | 7.7 |
Cut: None — all pieces scored above 5.0.
Priority posts (score 8+): #1 (X hot take), #4 (LinkedIn story), → scheduled Monday and Tuesday first.
7-Day Calendar:
Mon: LinkedIn story post (#4) + X hot take (#1)
Tue: X thread (#2) + Reddit insight (#8)
Wed: Instagram carousel (#6) + X data tweet (#3)
Thu: LinkedIn insight (#5) + Reddit data post (#9)
Fri: YouTube Short script (#12) + X quote tweet (#10)
Sat: Instagram quote card (#7)
Sun: [Engage and reply]
Humanizer Pass
Before finalizing any piece, run the Content Humanizer check:
- Remove corporate filler: "leverage", "synergy", "empower", "exciting", "game-changing"
- Add specificity: replace "many companies" with a number or named example
- Cut throat-clearing openers: never start with "In today's fast-paced world" or "I'm thrilled to share"
- Match platform energy: Reddit sarcasm is different from LinkedIn warmth is different from X bluntness
- Read it aloud — if it sounds like an AI wrote it, rewrite the first sentence
Sourcing & Attribution Rules
- When repurposing someone else's content: credit the source in the post ("via @handle" or "from [Source]")
- When repurposing your own content: no attribution needed, but note the original publication date
- Never republish large blocks of verbatim text from others — paraphrase and cite
- Data points from third-party research: always cite the research source
Guidelines
- Platform-native means adapting tone, structure, and format — not just length
- Never post identical content to multiple platforms. Ever.
- Score before scheduling — do not publish pieces below 5.0 out of hope
- Run the dedup check against the last 30 days of published content minimum
- Images for Instagram are required — text-only carousels perform significantly worse
- For Reddit: read the target subreddit's top posts before writing. Match their style.
- Always confirm before auto-posting. A wrong post is harder to undo than a delayed one.
- The pipeline runs best on long-form inputs (500+ words). Shorter inputs produce fewer atoms.
- One repurpose cycle per piece of content. Run the pipeline again in 60 days with fresh angles.
