# k2f-cv

Builds an academic or senior professional CV from notes, publications, and appointment history. It is designed for structured, multi-page career records rather than one-page resumes.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 566 installs · ★ 3
- Author: suzheng
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/suzheng/k2f/tree/HEAD/skills/personal/k2f-cv/SKILL.md
- Updated: 2026-10-15
- HTML: https://affpapa.org/en/nevibecode/skills/k2f-cv

## What it does

The skill plans a CV in `content_and_design.md`, covering section order, long-list hierarchy, publication entries, and visual intent. It can organize education, appointments, publications, grants, teaching, talks, service, awards, and supervision while keeping unsupported degrees, papers, amounts, and metrics out of the document.

The blueprint becomes a `.K2F` package through the `k2f` skill. That skill instantiates the sections, checks the result, and exports the finished CV, typically as PDF or DOCX. The plan can account for career stage, application type, geography, page budget, and template requirements.

Install the core `k2f` skill before building; without it, the `.K2F` creation and export workflow cannot run.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add suzheng/k2f --skill k2f-cv -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/k2f-cv/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/k2f-cv/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add suzheng/k2f --skill k2f-cv -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/k2f-cv/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add suzheng/k2f --skill k2f-cv -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/k2f-cv/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install suzheng/k2f k2f-cv
```

2. **Manually: put the files in place**
- File: `.github/skills/k2f-cv/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add suzheng/k2f --skill k2f-cv -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/suzheng/k2f --path skills/personal/k2f-cv
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/k2f-cv/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add suzheng/k2f --skill k2f-cv -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/suzheng/k2f/tree/HEAD/skills/personal/k2f-cv/SKILL.md

## When to use it
- assemble an academic CV from notes and publication lists
- merge Scholar, BibTeX, and legacy Word exports
- organize a long bibliography into clear sections
- choose between selected and full publication lists
- export the finished CV as PDF or DOCX

## Example prompts
- Build an academic CV from my notes and publication list, and do not add unsupported facts.
- Create `content_and_design.md` for a faculty CV with the required sections, dates, and citation structure.
- Turn the blueprint into a multi-page CV and export it to PDF using `k2f`.

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: a046df4ca682bfac.

BEGIN THIRD-PARTY FILE a046df4ca682bfac
```text
---
name: k2f-cv
description: 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.
---

# 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

### Step 1. Generate the content_and_design.md

Single blueprint for semantic content and design intent. Use labeled blocks per section (identity, appointments, education, publications, etc.) that the **k2f** skill can map later.

**Sub-steps**

1. **CV frame** — Discipline, career stage, opportunity type (tenure-track, fellowship, industry lab lead), geography, and **page budget** (often 2–6+ pages; justify length). Note required section order if the user cites a department or funder template.

2. **Input audit** — Inventory appointments, degrees, publications, preprints, grants, teaching, service, talks, patents, supervision, awards, and links. Flag `NEEDS USER INPUT` for missing DOIs, dates, or author order; never fabricate journals, amounts, or co-authors.

3. **Section architecture (include / cut / merge)** — Default academic stack (reorder only when the frame demands it):
   - **Identity & contact** → **Research interests** (optional, short) → **Education** → **Appointments / experience** (reverse chronological) → **Publications** → **Grants & funding** → **Teaching** → **Invited talks** → **Service & leadership** → **Awards** → **Skills / methods** (sparse) → **Supervision & mentoring**.
   - **Cut** high-school, obsolete jobs unrelated to the search, duplicate talk lists, full grant narratives, hobby sections unless normative in field.
   - **Merge** thin consulting into appointments; **split** publications into *Selected* vs *Full* when lists exceed ~15–20 items or the user targets a page cap.
```
END THIRD-PARTY FILE a046df4ca682bfac

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