/content-repurpose

name: content-repurpose
description: "Turn one piece of content into a multi-channel repurposing plan — a derivative matrix targeting 10+ formats, full platform-adapted drafts, a publishing calendar, UTM-tagged links, and per-piece brand-voice scores; every derivative must pass the standalone test (own hook, own payoff) and the cut list records what failed it. Triggers on \"/digital-marketing-pro:content-repurpose\", \"repurpose this blog post\", \"turn this webinar into social posts\", \"get more mileage out of this article\", \"atomize this whitepaper\". Produces drafts and a schedule, not published posts. Reads the brand profile, channel style overrides, and platform specs."

/digital-marketing-pro:content-repurpose

Purpose

Take one piece of existing content and generate a comprehensive repurposing plan across multiple channels and formats. Produces derivative content pieces, a posting schedule, and platform-specific adaptations to maximize the ROI of every content investment.

Input Required

The user must provide (or will be prompted for):

• **Original content**: The source material -- a URL, pasted text, uploaded document, or description of the content (blog post, webinar recording, podcast episode, whitepaper, case study, presentation, video, etc.)
• **Target channels**: Which platforms and formats to repurpose into (LinkedIn, Twitter/X, Instagram, email newsletter, blog, YouTube, TikTok, podcast, infographic, etc.) or ask for recommendations
• **Brand voice context**: Tone and style preferences (auto-loaded from brand profile if available)
• **Priority goals**: What the repurposed content should achieve (traffic, engagement, lead gen, thought leadership, SEO backlinks)
• **Timeline**: How quickly the repurposed content needs to go live (same day, one week, two weeks, ongoing drip)
• **Constraints**: Any platforms to exclude, content restrictions, compliance requirements, or approval workflows
• **Content performance data**: Optional -- engagement metrics from the original piece to identify strongest elements

Process

1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply voice, compliance, industry context. Check `guidelines/_manifest.json` for restrictions, messaging, channel styles, voice-and-tone rules, and templates. If a template matching this command exists in `~/.claude-marketing/brands/{slug}/templates/`, apply its format. If no brand exists, prompt for `/digital-marketing-pro:brand-setup` or proceed with defaults. 2. **Check campaign history**: Run `python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns` to identify related campaigns and previously published content that derivative pieces can reference or link to. 3. **Analyze original content**: Extract the core elements -- key messages, data points, compelling quotes, statistics, step-by-step processes, visual concepts, storytelling hooks, counterintuitive insights, and main takeaways. Identify which elements are strongest for each target format. 4. **Map to channel-specific formats**: Build a repurposing matrix mapping the original content to derivative formats: blog to social threads, webinar to blog series, podcast to audiograms, whitepaper to infographic, case study to testimonial posts, presentation to carousel posts, long-form to short-form snippets, and vice versa. Target 10+ derivative pieces per source — **but the target never overrides the standalone test below; eight strong pieces beat twelve where four are filler.** 4.5. **Apply the standalone test — and cut what fails it**: Every derivative piece must work for someone who will never see the source: its own hook, its own payoff, no context debt ("as we discussed in the full article" is a failure). Not every section of a source is repurposable — a passage that only works inside the original's argument is not a weak derivative waiting for better editing, it is not a derivative at all. List what was cut and why alongside the matrix; the cut list is evidence the filter ran. Rank survivors by how well they stand alone, and lead the calendar with the strongest. 5. **Apply platform specifications**: Reference `skills/context-engine/platform-specs.md` for character limits, image dimensions, video lengths, hashtag best practices, and format requirements per platform. Adapt each piece to fit native platform conventions. 6. **Adapt messaging for each format**: Rewrite and restructure content for each derivative piece -- not simple truncation but genuine adaptation. A LinkedIn post needs a different hook and structure than a Twitter/X thread, which differs from an email newsletter excerpt or an Instagram carousel. Match the native content style of each platform. 7. **Apply channel-specific voice overrides**: If brand guidelines include `channel-styles.md`, apply platform-specific tone adjustments (e.g., more casual on social, more authoritative in email, more concise on Twitter/X). 8. **Generate content calendar for repurposed pieces**: Sequence the derivative content across a publishing timeline. Space out related pieces to avoid audience fatigue. Front-load high-impact formats and follow with supporting pieces. Align with optimal posting times per platform. 9. **Score each variant for brand voice alignment**: Check every derivative piece against brand voice settings (formality, energy, humor, authority) and channel-specific style overrides from guidelines. Flag any pieces that drift from established voice. 10. **Add tracking and attribution**: Attach UTM parameters to all links in derivative content so traffic driven back to the original or landing pages can be attributed to the specific repurposed piece and platform. 11. **Define performance metrics per format**: Set engagement benchmarks for each derivative piece (impressions, clicks, shares, saves, comments) based on platform averages and