设计与多媒体

k2f-thesis

suzheng/k2f

Blueprint degree theses from scattered drafts, data, and institutional rules—chapter arc, synthesized literature, evidence maps, and defense-ready hierarchy. Use when the user asks for a thesis, dissertation, PhD/Master’s manuscript, multi-chapter thesis, or thesis outline from notes or partial chapters. Create thesis documents with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.

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安装命令

npx skills add https://github.com/suzheng/k2f --skill k2f-thesis

SKILL.md

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