设计与多媒体

k2f-cv

suzheng/k2f

Compile a complete academic or senior professional curriculum vitae from notes, publication lists, and appointment history—with correct section order, honest bibliographic detail, and readable long-list hierarchy (not a one-page job resume). Use when the user asks for a CV, curriculum vitae, academic vita, faculty application CV, or multi-page career record. Create cvs 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.

  • 566 次安装
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安装命令

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

SKILL.md

K2F Cv — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint CVs in content_and_design.md: scholarly sections, tiered long lists, citation-ready entries, and design intent—without inventing degrees, papers, grants, or metrics.

Built on K2F

This skill produces CVs as .K2F packages. Follow the k2f skill for authoring, pack/verify, and export. K2F keeps agents on sections and list roles while the engine handles multi-page flow and typography.

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

When to Use

  • Building or updating an academic or research CV (faculty, postdoc, PhD, clinician-scientist, senior technical fellow).
  • Merging exports (Scholar, BibTeX, old Word) into one structure.
  • Selected vs full lists for a search—not one-page resumes (k2f-resume).

Workflow