AI导哈

设计与多媒体

k2f-case-study

suzheng/k2f

Create portfolio- or client-ready case studies from project notes, resume bullets, or outcome data—with a credible narrative arc, process evidence, quantified impact, and visual storytelling intent. Use when the user asks for a case study, portfolio piece, project writeup, work sample, or client success story. Create case studies 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-case-study

SKILL.md

K2F Case Study — AI-Native Aesthetic Design

Purpose

Teach agents to blueprint case studies before layout: show how and why work happened—not a resume repeat—with honest scope, evidence-backed results, and hierarchy that hooks skimmers and rewards deep readers.

Built on K2F

This skill produces case studies 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, narrative beats, visual placeholders)—not pixel coordinates—while the engine compiles layout, typography, and theme into consistent output across PDF, PPTX, DOCX, and other formats.

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

When to Use

  • Expanding bullets or slide decks into a portfolio or interview-ready project story.
  • Documenting a client or internal win for sales, marketing, or leadership audiences.
  • Tailoring one project for PM, design, engineering, or marketing emphasis without rewriting from scratch.

Workflow

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