skill-content-repurposing · Cross-Platform Adaptation
A skill that adapts one piece of content to multiple platforms: source can be text, a URL, or a video/audio transcript. It first extracts the core thesis, key points, quotable lines, and data points, then breaks them down along a content pyramid (pillar → derivative → micro) into platform-native pieces.
Every adaptation is written natively for its platform — length, tone, hashtags, and format rules — never mechanically truncated. With a profile, it follows the target platforms and voice automatically.
Example invocation: "Adapt this article into Xiaohongshu, Douyin, and Weibo versions," with the article attached.
Full brief
Positioning
skill-content-repurposing is a create-once, distribute-everywhere adaptation engine: it breaks one long piece of content into platform-native assets, adapting format, length, and tone per platform. It rewrites for real — never truncates or copy-pastes.
Core capabilities
- Multi-form input: text, content links (fetched via WebFetch), video/audio transcripts, talk scripts, livestream transcripts — mixed input also accepted.
- Core-element extraction: core thesis, 3–5 key points, quotable lines, data points and cases — summarized in an adaptation plan.
- Content-pyramid breakdown: pillar content (deep, long-form) → derivative content (mid-length, sub-theme extraction) → micro content (short, single-point). One pillar piece yields 15–25 cross-platform assets.
- Platform-native adaptation: each piece follows per-platform conversion recipes — length limits, tone, hashtag strategy, format rules — and stands alone as a complete, valuable read.
- Scheduling guidance: pillar first → derivatives from the next day → micro content interleaved.
Workflow
- Identify the source type (video, long article, livestream, podcast) and assess density
- Extract core elements: thesis, key points, quotable lines, data points
- Map target platforms: from the profile's
platformsfield, or user-specified (default: Xiaohongshu + Douyin + Weibo) - Generate per-platform adaptations per conversion recipes: native, consistent core, self-contained, format-compliant
- Output scheduling guidance: order and spacing
Inputs & outputs
| Input | Notes |
|---|---|
| Source content | Required — text, URL, or transcript |
| Target platforms | Optional; read from profile, otherwise default Xiaohongshu + Douyin + Weibo |
Output: an adaptation plan (source type, word count, core elements, platforms, total pieces) + per-platform native adaptations + publishing schedule guidance.
Boundaries with adjacent skills
- skill-cross-platform-diff: analyzes platform differences (discovery layer); this skill actually rewrites content for each platform.
- skill-cross-platform-publish: handles one-click distribution; this skill adapts content only, no distribution.
Fit
- Long articles or videos to break into short-platform assets
- Livestream or podcast replays repurposed to extend content lifetime
- Coordinated presence for one topic across platforms
Before you start
- Provide the source text or link; specify target platforms (default applies without a profile).
- No API key or fees; link fetching goes through WebFetch.
skill-content-repurposing is part of the Aiglade Skill library. Invoke it from the Aiglade chat box in plain language.