K2F Thesis — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint a book-length thesis before layout: one defensible central claim, institution-aligned chapter architecture, merged and attributed source material, and design intent that reads like a serious degree submission—not a stack of papers or a generic essay.

Built on K2F

This skill produces thesis manuscripts as .K2F packages. Follow the k2f skill for authoring: unpack or init a workspace, edit the semantic tree, run pack/verify, then export. K2F keeps agents on meaning (chapter roles, arguments, figures)—not pixel coordinates—while the engine compiles layout, typography, and theme into consistent output across PDF, DOCX, and other formats.

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

When to Use

• Structuring or restructuring a Master’s or PhD thesis from chapters, papers, or field notes.
• Merging overlapping drafts, lit notes, and results into one coherent arc before full prose.
• Defining chapter-level hierarchy, visuals, and tone before K2F compilation.

Workflow