AI导哈

设计与多媒体

k2f-resume

suzheng/k2f

Turn career history, notes, or an existing CV into a tailored, achievement-led resume with clear hierarchy and scannable proof—not a generic duty list or keyword-stuffed template. Use when the user asks for a resume, CV, job application document, or role-targeted career summary (including refresh for a specific job posting). Create resumes 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-resume

SKILL.md

K2F Resume — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint resumes in content_and_design.md before layout: what to include and cut, how to tier information for recruiter scan, achievement bullets with honest metrics, and aesthetic intent (tone, hierarchy, density)—without inventing roles, dates, or results the user did not supply.

Built on K2F

This skill produces resumes as .K2F packages. Follow the k2f skill for authoring: unpack or init a workspace, edit the semantic tree, pack/verify, and export. K2F keeps agents on meaning (sections, roles, claims)—not coordinates—while the engine handles layout and typography.

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

When to Use

  • Drafting or rebuilding a resume from notes, LinkedIn export, or an outdated CV.
  • Tailoring content to a target role or job description (emphasis and keywords, not fabrication).
  • Career changers, recent grads, or executives who need different section weighting—not cover letters, portfolios, or multi-page bios.

Workflow

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