# Content Repurpose Pipeline > Atomize one piece of content into platform-native posts for X, LinkedIn, Instagram, Reddit, and YouTube — with viral scoring and dedup - Skill: `openlabor/content-repurpose-pipeline` (Agent Skill) - Install (CLI): `npx skillmds@latest add openlabor/content-repurpose-pipeline` - Raw SKILL.md: https://api.skillmd.com/api/skills/openlabor/content-repurpose-pipeline/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: DevOps & Infra - Author: OpenLabor (https://skillmd.com/u/openlabor) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/openlabor/content-repurpose-pipeline --- # 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.