content-repurpose
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…
Install / Use
npx skills add indranilbanerjee/digital-marketing-pro --skill content-repurposeInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of content-repurpose
content-repurpose scores 82/100 on our quality scale, 990th of 1,213 Content & Media skills we index.
Its SKILL.md is 7.4 KB long, split into 6 sections and no code examples: a thorough specification that gives an agent plenty to work with.
It has 832 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 26 days ago, so content-repurpose is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
content-repurpose compared with similar skills
All 4 of these similar skills score higher than content-repurpose; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| content-repurpose (this skill)by indranilbanerjee | 82 | 832 | 26d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 90.1k | 18d ago | CLAUDE.md |
| LocalAIby mudler | 100 | 49.4k | today | MCP Server |
| siyuanby siyuan-note | 100 | 46.6k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install content-repurpose?
- Run
npx skills add indranilbanerjee/digital-marketing-pro --skill content-repurpose. The install tabs above show the steps for each supported agent. - Which AI agents does content-repurpose work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is content-repurpose safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is content-repurpose still maintained?
- The repository was last updated 26 days ago, so content-repurpose is actively maintained.
Skill content
View source on GitHubname: 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
- Load brand context: Read
~/.claude-marketing/brands/_active-brand.jsonfor the active slug, then load~/.claude-marketing/brands/{slug}/profile.json. Apply voice, compliance, industry context. Checkguidelines/_manifest.jsonfor 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-setupor proceed with defaults. - Check campaign history: Run
python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaignsto identify related campaigns and previously published content that derivative pieces can reference or link to. - 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.
- 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.
- Apply platform specifications: Reference
skills/context-engine/platform-specs.mdfor character limits, image dimensions, video lengths, hashtag best practices, and format requirements per platform. Adapt each piece to fit native platform conventions. - 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.
- 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). - 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.
- 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.
- 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.
- Define performance metrics per format: Set engagement benchmarks for each derivative piece (impressions, clicks, shares, saves, comments) based on platform averages and brand historical performance.
Output
A structured content repurposing plan containing:
- Original content summary with extracted key elements (messages, data, quotes, hooks, takeaways)
- Repurposing matrix mapping original content to 10+ derivative formats across channels
- Full draft content for each derivative piece, adapted to platform conventions and native style
- Platform-specific formatting notes (character counts, image specs, hashtag sets, posting format)
- Publishing calendar with recommended dates, times, and sequencing logic
- Brand voice alignment score for each piece with adjustment notes where needed
- Cross-linking strategy connecting derivative pieces back to the original and to each other
- Estimated reach and engagement projections per format based on channel benchmarks
- UTM-tagged links for each derivative piece enabling attribution tracking
- Performance benchmarks per format with success criteria for each piece
- Visual asset requirements per derivative piece (image dimensions, video specs, design notes)
- Hashtag and keyword recommendations per platform for discoverability
- Suggested engagement hooks and CTAs tailored to each platform's audience behavior
Agents Used
- content-creator -- Content analysis, derivative content writing, format adaptation, voice alignment, editorial calendar planning, and cross-linking strategy
- social-media-manager -- Platform-specific formatting, social post drafting, hashtag strategy, posting schedule optimization, engagement hook design, and cross-platform coordination
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
