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build-carousellisted

Use when user has an idea with multiple discrete steps, a framework, a comparison, a before/after, a list of items worth a slide each, or anything where swiping is part of the experience. Trigger phrases include "make a carousel," "build a slide deck for LinkedIn," "turn this into a carousel," "I have a framework to share," or when a find-ideas seed is marked "Best fit for: build-carousel." Produces a carousel SPEC the user assembles into a PDF in Canva or Figma; does not export the finished PDF.
warpirate/linkedin-maxxing · ★ 0 · Web & Frontend · score 65
Install: claude install-skill warpirate/linkedin-maxxing
# Build carousel Carousels are currently the strongest format on LinkedIn. They reward more design effort, hold more dwell time per swipe, and pass more algorithmic signal per post than text or video. This skill exists to plan and write a carousel from an idea, not to design it (the user or their designer does that), but to produce slide-level copy and a clear visual brief that a designer can execute. ## Why this skill exists LinkedIn document carousels (uploaded as PDFs) currently outperform equivalent text posts by 5-10x on engagement, and educational carousels with 8-12 slides perform best. Each swipe counts as an engagement signal. The format works because it requires more effort to create (a quality signal), keeps the reader on LinkedIn (the platform rewards this), and the swipe behavior holds attention longer than scrolling past text. But carousels can also fail badly. Slides full of stock photos and motivational quotes have the lowest engagement of any LinkedIn format. The difference between a carousel that works and one that does not is whether each slide does its own job. This skill exists to make sure each slide earns its place. ## When to use this skill Trigger when: - The user passes a seed from find-ideas marked for carousel - The user has a framework, a how-to, a comparison, a before/after, or a list of 5+ items - The user has a piece of work (an internal doc, a process, a decision tree) that has natural sequential structure - The user has tried text posts