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Consulting deck generation goes underground in Japan

A Claude Code skill packaging a 62-slide-type catalog for automated consulting-style decks has 313 stars at 50/day with no mainstream pickup, mapping.

Enterprise DNA |
Consulting deck generation goes underground in Japan

AI Pulse · Under the Radar

The play

Prototype consulting-style deck automation for repeatable LearningPortal deliverables, measuring editing time and client quality ratings.

A small Claude Code project is getting attention without much mainstream coverage. The repository packages a catalog of 62 slide types intended to produce consulting-style PowerPoint decks automatically. It has reached 313 GitHub stars, with roughly 50 new stars a day, according to the project repository.

That doesn’t prove companies are using it at scale. GitHub stars are interest, not revenue or production adoption. But it does point to a practical shift worth watching. The value is no longer just in asking AI to write a presentation. It’s in packaging a repeatable set of slide formats, rules, and outputs so a team can produce familiar deliverables without rebuilding the process each time.

For an operator, the question is simple. Which documents does your business produce repeatedly that follow a recognisable structure? Training packs, customer proposals, internal update decks, onboarding material, and LearningPortal content are obvious candidates. If the structure is stable, AI can help create a first version faster, while people focus on accuracy, judgement, and final review.

The strongest opportunity is not “AI makes slides.” It’s turning a known internal production process into a reusable system that creates consistent outputs. This is the kind of thing we build into an AI command centre, where repeatable work is mapped, governed, and connected to the tools and content your team already uses.

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