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creatorsconceptsha:8d75827fa4dda2c8manual
content-repurposing
Use when expanding one long-form video or essay into a multi-platform pack — Twitter thread, LinkedIn post, Reels/Shorts script, newsletter blurb — preserving voice and key beats from the source transcript.
Tutorials · creator-attached
One-line install
curl --create-dirs -fsSL https://skillmake.xyz/i/content-repurposing -o ~/.claude/skills/content-repurposing/SKILL.md
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--- name: content-repurposing description: Use when expanding one long-form video or essay into a multi-platform pack — Twitter thread, LinkedIn post, Reels/Shorts script, newsletter blurb — preserving voice and key beats from the source transcript. source: https://www.anthropic.com/news/claude-3-5-sonnet generated: 2026-05-07T21:42:15.312Z category: concept audience: creators --- ## Tutorials - https://skillmake.xyz/v/content-repurposing.mp4 ## When to use - Multiplying one creator artifact (video, essay, podcast) into 4–6 platform-native posts - Maintaining a single creator voice across Twitter, LinkedIn, Reels, and email - Avoiding 'literally the same caption everywhere' which kills engagement - Producing a publishable batch in one pass instead of hand-writing each variant ## Key concepts ### platform native voice Each platform rewards a different shape: Twitter = punchy + numbered + ends with quote-tweet bait; LinkedIn = first-person story + soft CTA; Reels = hook in first 3 words + short sentences; Newsletter = warmer + section breaks + one big idea. The same source text rewritten for each. ### beat extraction Pull 5–8 'beats' from the source — discrete claims, stories, numbers, or moments. Each beat becomes a tweet, a LinkedIn paragraph, or a Reel hook. The pack stays coherent because every variant covers the same beats in different shapes. ### voice anchoring Pin a 200-word voice sample (an existing post by the creator) into every prompt as a style anchor. Without this, output drifts toward 'generic LinkedIn-speak' and feels off-brand. Voice sample > tone instructions every time. ## API reference ``` extract-beats prompt ``` First pass over the source transcript or essay. Returns JSON list of beats with type (claim/story/number/moment) and a 1-line summary each. ``` From the source below, extract 5–8 beats. For each: type (claim|story|number|moment), one-line summary, and 1–2 quotable lines verbatim. Return JSON. SOURCE: <transcript> ``` ``` platform-rewrite prompt with voice anchor ``` Second pass: per platform, generate the post(s) using the extracted beats and a voice sample. ``` STYLE ANCHOR (creator's existing post — match tone, cadence, sentence length): <voice-sample> BEATS: <json-from-pass-1> Write a 7-tweet thread for Twitter using these beats. Each tweet ≤220 chars. Open with the strongest hook beat. Close with a quote-tweet-bait question. ``` ## Gotchas - Don't try to write all 5 platforms in one prompt — output collapses to mush. Run platform-by-platform with the same beat list. - Voice anchor must be the creator's own writing, not a 'pretend you're <famous person>' instruction. - Reels/Shorts scripts must include scene directions ([cut], [zoom], [text overlay]); pure prose makes the script useless to the editor. - LinkedIn truncates after ~210 chars before 'see more' — front-load the most interesting beat. --- Generated by SkillMake from https://www.anthropic.com/news/claude-3-5-sonnet on 2026-05-07T21:42:15.312Z. Verify against source before relying on details.
File: ~/.claude/skills/content-repurposing/SKILL.md