@codevena/cvmake-cli

YAML in, PDF out. The official cvmake CLI.

Build production-quality CV PDFs from a plain-text YAML file. 12 polished templates, multiple color palettes each, multilingual.

Template showcase: https://cvmake.codevena.dev · Web editor: https://cveditor.codevena.dev

Quick start

# Scaffold a commented starter CV (use --lang de for German)
npx @codevena/cvmake-cli init cv.yaml

# Open cv.yaml in your editor, fill in your data

# Render
npx @codevena/cvmake-cli build cv.yaml
# → out/cv.pdf

The first build downloads Chromium (~150 MB, one-time) — required for high-fidelity PDF rendering. Subsequent runs are instant.

Commands

cvmake init [output] [-l <de|en>] [-f]          # scaffold a starter cv.yaml (default: cv.yaml)
cvmake import <resume.json> [output] [-l] [-f]   # convert a JSON Resume to cvmake YAML
cvmake build <cv.yaml> [-t <template>] [-p <palette>] [-o <output.pdf>]
cvmake validate <cv.yaml>
cvmake list-templates
cvmake build-all [-d <dir>] [-o <out>]          # render every YAML in a directory

Already have a JSON Resume?

Bring your existing jsonresume.org file and get all 12 templates instantly:

npx @codevena/cvmake-cli import resume.json cv.yaml
npx @codevena/cvmake-cli build cv.yaml

import maps basics, work, education, skills, languages, and extras (projects, awards, certificates, publications, volunteering) into the cvmake schema, then writes a clean, commented YAML for you to fine-tune.

Default output: out/cv.pdf.

Templates

12 templates ship with the CLI:

classic-serif, modern-minimal, corporate, creative-accent, editorial, academic, tech-dev, monochrome-dark, swiss, bauhaus, noir, magazine.

Each template has two to four color palettes — 34 across the twelve. Specify both in YAML:

rendering:
  template: bauhaus
  palette: bauhaus-primary

…or override on the command line:

npx @codevena/cvmake-cli build cv.yaml --template noir --palette noir-gold

See the showcase for live previews of every template + palette.

YAML schema

The full schema is published as @codevena/cvmake-schema. The fastest way to understand it is to read the example:

https://github.com/Codevena/cvmake/blob/main/data/cvs/example.en.yaml

cvmake validate checks your YAML against the schema and prints human-readable errors if anything is off.

Web editor

Prefer a GUI? https://cveditor.codevena.dev — same engine, runs in your browser. Edit the YAML side-by-side with the live PDF preview, export when ready.

License

MIT — see LICENSE.