K2F Research Poster — AI-Native Aesthetic Design

Purpose

Convert scientific manuscripts, experiment data, and academic notes into print-ready conference posters. Posters fail when treated as oversized papers; attendees scan from 1.5–2 meters away and spend under 90 seconds. This skill enforces scientific distillation, viewing-distance hierarchy, strict 1-page geometry, and high visual density while eliminating multi-page overflow and blank lower thirds.

Built on K2F

This skill produces conference posters as .K2F packages. Follow the k2f skill for authoring: unpack or init a workspace, edit the semantic JSON tree (content/root.json), customize styles/theme.json, pack/verify, and export. K2F separates semantic structure from styling, compiling an immutable render lock that guarantees pixel-identical output across PDF, PPTX, DOCX, and IDML.

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

When to Use

• Creating conference posters from paper drafts, preprints, or notes.
• Designing large-format scientific presentations (Arch E 48"×36", 36"×48", ISO A0/A1).
• Transforming multi-page manuscripts into a single-page visual synthesis.
• Exporting vector PDF, editable PPTX, or IDML.