设计与多媒体

k2f-academic-paper

suzheng/k2f

Turn research questions, data, and literature into submission-ready academic manuscripts with venue-aligned structure, claim–evidence flow, and reader-scannable hierarchy. Use when the user asks for an academic paper, journal article, conference paper, thesis chapter, IMRaD manuscript, abstract, or manuscript outline from notes or a draft. Create academic papers 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-academic-paper

SKILL.md

K2F Academic Paper — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint publishable manuscripts before layout: a sharp contribution claim, venue-appropriate structure, mapped evidence, and design intent that reads like a serious journal—not a generic essay or oversized blog post.

Built on K2F

This skill produces 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 (section roles, arguments, figures)—not pixel coordinates—while the engine compiles layout, typography, and theme into consistent output across PDF, DOCX, PPTX, and IDML.

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

When to Use

  • Drafting or restructuring IMRaD articles, conference papers, literature reviews, or thesis chapters from user materials.
  • Turning notes, preprints, or reviewer feedback into a clearer outline before full prose.
  • Defining how sections, figures, and tables should read and look before K2F compilation.

Workflow