K2F Research Deck — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint research decks before layout: one scientific claim per slide, traceable evidence, explicit caveats before the close, and no numbers or figures redrawn from memory.

Built on K2F

This skill produces research presentations as .K2F packages. Follow the k2f skill for authoring: unpack or init a workspace, edit the semantic tree, pack/verify, and export. K2F keeps agents on meaning (slide roles, evidence, visual intent)—not coordinates—while the engine compiles layout, typography, and theme into consistent, projector-ready output.

Before you build, install the core skill: npx skills add suzheng/k2f --skill k2f.

When to Use

• Preparing a lab meeting or PI update from a paper, preprint, or experiment log.
• Building a grant or internal review deck that must prove novelty without overclaiming.
• Converting dense manuscripts into a 6–15 slide talk with faithful metrics and figures.
• Rebuilding generic “paper summary” AI slides into a skimmable evidence story.