Create and revise academic Marp presentation slides from notes.
npx skills add https://github.com/daidong/PiPilot --skill academic-marp-slides
Please help me install this Agent Skill. Skill: academic-marp-slides Source: https://github.com/daidong/PiPilot/tree/main/lib/skills/builtin/academic-marp-slides Command: npx skills add https://github.com/daidong/PiPilot --skill academic-marp-slides
Create or revise high-quality academic presentation slides in Markdown using Marp, applying a disciplined multi-phase workflow that enforces Assertion-Evidence structure and Mayer's multimedia learning principles.
Follow Phase 1–4 to create or revise an academic Marp slide deck from your notes.
High-intent search queries and answers about installing and using this skill.
To create academic presentation slides using Marp, follow a disciplined multi-phase workflow that separates thinking, outlining, and visual design. This process ensures repeatable deck creation tailored for academic contexts.
The Assertion-Evidence structure is a presentation format enforced during slide creation to improve talk effectiveness. It focuses on concise assertions supported by visual evidence rather than bullet points.
Applying Mayer's multimedia learning principles to Marp slides is handled automatically through a structured workflow. This ensures the final deck adheres to audience-focused storytelling and consistent visual design.
Yes, this Marp workflow supports various academic presentation formats including conference talks, lab meetings, thesis defenses, and seminars. It adapts the slide creation process to fit these specific academic contexts.
The best way to structure a multi-phase slide creation workflow is by dividing it into distinct phases from initial thinking to final visual design. This approach enforces Assertion-Evidence structure and Mayer's principles for high-quality results.
Yes, the Marp slide workflow supports the reuse of context from existing notes, figures, and references. It also includes optional resources like scripts and assets that load on demand during deck creation.
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