rendercv

Quick Start

Available themes:

classic

harvard

engineeringresumes

engineeringclassic

sb2nov

moderncv

Available locales:

english

arabic

danish

dutch

french

german

hebrew

hindi

hungarian

indonesian

italian

japanese

korean

mandarin_chinese

norwegian_bokmål

norwegian_nynorsk

persian

portuguese

russian

spanish

turkish

vietnamese

These are starting points — every aspect of the design and locale can be fully customized in the YAML file.

bash

# Install RenderCV
uv tool install "rendercv[full]"

# Create a starter YAML file (you can specify theme and locale)
rendercv new "John Doe"
rendercv new "John Doe" --theme moderncv --locale german

# Render to PDF (also generates Typst, Markdown, HTML, PNG by default)
rendercv render John_Doe_CV.yaml

# Watch mode: auto-re-render whenever the YAML file changes
rendercv render John_Doe_CV.yaml --watch

# Render only PNG (useful for previewing or checking page count)
rendercv render John_Doe_CV.yaml --dont-generate-pdf --dont-generate-html --dont-generate-markdown

# Override fields from the CLI without editing the YAML
rendercv render cv.yaml --cv.name "Jane Doe" --design.theme "moderncv"

YAML Structure

A RenderCV input has four sections. Only

cv

is required — the others have sensible defaults.

yaml

cv:         # Your content: name, contact info, and all sections
design:     # Visual styling: theme, colors, fonts, margins, spacing, layouts
locale:     # Language: month names, phrases, translations
settings:   # Behavior: output paths, bold keywords, current date

Single file vs. separate files: All four sections can live in one YAML file, or each can be a separate file. Separate files are useful for reusing the same design/locale across multiple CVs:

bash

# Single self-contained file (all sections in one file)
rendercv render John_Doe_CV.yaml

# Separate files: CV content + design + locale loaded independently
rendercv render cv.yaml --design design.yaml --locale-catalog locale.yaml --settings settings.yaml

When using separate files, each file contains only its section (e.g.,

design.yaml

has

design:

as the top-level key). CLI-loaded files override values in the main YAML file.

The YAML maps directly to Pydantic models. The complete type-safe schema is provided below so you can understand every field, its type, and its default value.

Pydantic Schema

The YAML input is validated against these Pydantic models.

Top-Level Model

python

class RenderCVModel(BaseModelWithoutExtraKeys):
    cv: Cv = pydantic.Field(default_factory=Cv, title='CV', description='The content of the CV.')
    design: Design = pydantic.Field(default_factory=ClassicTheme, title='Design')
    locale: Locale = pydantic.Field(default_factory=EnglishLocale, title='Locale Catalog')
    settings: Settings = pydantic.Field(default_factory=Settings, title='RenderCV Settings', description='The settings of the RenderCV.')

CV Content (

cv

)

The

cv.sections

field is a dictionary where keys are section titles (any string you want) and values are lists of entries. Each section contains entries of the same type.

python

class Cv(BaseModelWithoutExtraKeys):
    name: str | None = pydantic.Field(default=None, examples=['John Doe', 'Jane Smith'])
    headline: str | None = pydantic.Field(default=None, examples=['Software Engineer', 'Data Scientist', 'Product Manager'])
    location: str | None = pydantic.Field(default=None, examples=['New York, NY', 'London, UK', 'Istanbul, Türkiye'])
    email: pydantic.EmailStr | list[pydantic.EmailStr] | None = pydantic.Field(default=None, examples=['john.doe@example.com', ['john.doe.1@example.com', 'john.doe.2@example.com']])
    photo: ExistingPathRelativeToInput | pydantic.HttpUrl | None = pydantic.Field(default=None, union_mode='left_to_right', examples=['photo.jpg', 'images/profile.png', 'https://example.com/photo.jpg'])
    phone: pydantic_phone_numbers.PhoneNumber | list[pydantic_phone_numbers.PhoneNumber] | None = pydantic.Field(default=None, examples=['+1-234-567-8900', ['+1-234-567-8900', '+44 20 1234 5678']])
    website: pydantic.HttpUrl | list[pydantic.HttpUrl] | None = pydantic.Field(default=None, examples=['https://johndoe.com', ['https://johndoe.com', 'https://www.janesmith.dev']])
    social_networks: list[SocialNetwork] | None = pydantic.Field(default=None)
    custom_connections: list[CustomConnection] | None = pydantic.Field(default=None, examples=[[{'placeholder': 'Book a call', 'url': 'https://cal.com/johndoe', 'fontawesome_icon': 'calendar-days'}]])
    sections: dict[str, Section] | None = pydantic.Field(default=None, examples=[{'Experience': '...', 'Education': '...', 'Projects': '...', 'Skills': '...'}])

python

type SocialNetworkName = Literal['LinkedIn', 'GitHub', 'GitLab', 'IMDB', 'Instagram', 'ORCID', 'Mastodon', 'StackOverflow', 'ResearchGate', 'YouTube', 'Google Scholar', 'Telegram', 'WhatsApp', 'Leetcode', 'X', 'Bluesky', 'Reddit']

available_social_networks = get_args(SocialNetworkName.__value__)

class SocialNetwork(BaseModelWithoutExtraKeys):
    network: SocialNetworkName = pydantic.Field()
    username: str = pydantic.Field(examples=['john_doe', '@johndoe@mastodon.social', '12345/john-doe'])

python

class CustomConnection(BaseModelWithoutExtraKeys):
    fontawesome_icon: str
    placeholder: str
    url: pydantic.HttpUrl | None

Entry Types

cv.sections

is a dictionary: keys are section titles (any string), values are lists of entries. Each section must use a single entry type — you cannot mix different entry types within the same section. The entry type is auto-detected from the fields present in each entry.

Shared fields — these are available on entry types that support dates and complex fields (ExperienceEntry, EducationEntry, NormalEntry, PublicationEntry):

Field	Type	Default	Notes
`date`	`str \| int \| null`	`null`	Free-form: `"2020-09"` , `"Fall 2023"` , etc. Mutually exclusive with `start_date` / `end_date` .
`start_date`	`str \| int \| null`	`null`	Strict format: YYYY-MM-DD, YYYY-MM, or YYYY.
`end_date`	`str \| int \| "present" \| null`	`null`	Same formats as `start_date` , or `"present"` . Omitting defaults to `"present"` when `start_date` is set.
`location`	`str \| null`	`null`
`summary`	`str \| null`	`null`
`highlights`	`list[str] \| null`	`null`	Bullet points.

9 entry types:

Entry Type	Required Fields	Optional Fields	Typical Use
ExperienceEntry	`company` , `position`	all shared fields	Jobs, positions
EducationEntry	`institution` , `area`	`degree` + all shared fields	Degrees, schools
PublicationEntry	`title` , `authors`	`doi` , `url` , `journal` , `summary` , `date`	Papers, articles
NormalEntry	`name`	all shared fields	Projects, awards
OneLineEntry	`label` , `details`	—	Skills, languages
BulletEntry	`bullet`	—	Simple bullet points
NumberedEntry	`number`	—	Numbered list items
ReversedNumberedEntry	`reversed_number`	—	Reverse-numbered items (5, 4, 3...)
TextEntry	(plain string)	—	Free-form paragraphs

Example:

yaml

cv:
  sections:
    experience:          # list of ExperienceEntry (detected by company + position)
      - company: Google
        position: Engineer
        start_date: 2020-01
        highlights:
          - Did something impactful
    skills:              # list of OneLineEntry (detected by label + details)
      - label: Languages
        details: Python, C++
    about_me:            # list of TextEntry (plain strings)
      - This is a free-form paragraph about me.

Entries also accept arbitrary extra keys (silently ignored during rendering). A typo in a field name will NOT cause an error.

Design (

design

)

All built-in themes share the same structure — they only differ in default values. See the sample designs below for every available field and its default. Set

design.theme

to pick a theme, then override any field.

Locale (

locale

)

Built-in locales:

english

arabic

danish

dutch

french

german

hebrew

hindi

hungarian

indonesian

italian

japanese

korean

mandarin_chinese

norwegian_bokmål

norwegian_nynorsk

persian

portuguese

russian

spanish

turkish

vietnamese

Set

locale.language

to a built-in locale name to use it. Override any field to customize translations. Set

language

to any string and provide all translations for a fully custom locale.

Settings (

settings

)

Key fields:

bold_keywords

(list of strings to auto-bold),

current_date

(override today's date),

render_command.*

(output paths, generation flags).

Important Patterns

YAML quoting

ALWAYS quote string values that contain a colon (
:
). This is the most common cause of invalid YAML. Highlights, titles, summaries, and any free-form text often contain colons:

yaml

# WRONG — colon breaks YAML parsing:
- title: Catalytic Mechanisms: A New Approach
  highlights:
    - Relevant coursework: Distributed Systems, ML

# RIGHT — wrap in double quotes:
- title: "Catalytic Mechanisms: A New Approach"
  highlights:
    - "Relevant coursework: Distributed Systems, ML"

Rule: if a string value contains

, it MUST be quoted. When in doubt, quote it.

Bullet characters

The

design.highlights.bullet

field only accepts these exact characters:

●

•

◦

◆

★

■

—

○

. Do not use en-dash (

–

, or any other character. When in doubt, omit

bullet

to use the theme default.

Phone numbers

Phone numbers MUST be in international format with country code (E.164). Never invent a phone number — only include one if the user provides it.

yaml

# WRONG:
phone: "(555) 123-4567"
phone: "555-123-4567"

# RIGHT:
phone: "+15551234567"

If the user provides a local number without country code, ask which country, or omit the phone field.

Text formatting

All text fields support inline Markdown:

**bold**

*italic*

[link text](url)

. Block-level Markdown (headers, lists, blockquotes, code blocks) is not supported. Raw Typst commands and math (

$$f(x)$$

) also pass through.

Date handling

```
date
```
and
```
start_date
```
/
```
end_date
```
are mutually exclusive. If
```
date
```
is provided,
```
start_date
```
and
```
end_date
```
are ignored.
If only
```
start_date
```
is given,
```
end_date
```
defaults to
```
"present"
```
.
```
start_date
```
/
```
end_date
```
require strict formats: YYYY-MM-DD, YYYY-MM, or YYYY.
```
date
```
is flexible: accepts any string ("Fall 2023") in addition to date formats.

Section titles

```
snake_case
```
keys auto-capitalize:
```
work_experience
```
→ "Work Experience"
Keys with spaces or uppercase are used as-is.

Publication authors

Use

*Name*

(single asterisks, italic) to highlight the CV owner in author lists.

Nested highlights (sub-bullets)

yaml

highlights:
  - Main bullet point
    - Sub-bullet 1
    - Sub-bullet 2

CLI Reference

rendercv new "Full Name"

Generate a starter YAML file.

Option	Short	What it does
`--theme THEME`		Theme to use (default: `classic` )
`--locale LOCALE`		Locale to use (default: `english` )
`--create-typst-templates`		Also create editable Typst template files for full design control

rendercv render <input.yaml>

Generate PDF, Typst, Markdown, HTML, and PNG from a YAML file.

Option	Short	What it does
`--watch`	`-w`	Re-render automatically when the YAML file changes
`--quiet`	`-q`	Suppress all output messages
`--design FILE`	`-d`	Load design section from a separate YAML file
`--locale-catalog FILE`	`-lc`	Load locale section from a separate YAML file
`--settings FILE`	`-s`	Load settings section from a separate YAML file
`--output-folder DIR`	`-o`	Custom output directory

Per-format controls:

--{format}-path PATH

sets custom output path,

--dont-generate-{format}

skips generation. Formats:

pdf

typst

markdown

html

png

Override any YAML field from the CLI using dot notation (overrides without editing the file):

bash

rendercv render CV.yaml --cv.name "Jane Doe" --design.theme "moderncv"
rendercv render CV.yaml --cv.sections.education.0.institution "MIT"

rendercv create-theme "theme-name"

Scaffold a custom theme directory with editable Typst templates for complete design control.

JSON Schema

For YAML editor autocompletion and validation:

yaml

# yaml-language-server: $schema=https://raw.githubusercontent.com/rendercv/rendercv/refs/tags/v2.8/schema.json

Complete Example

Sample CV

yaml

cv:
  name: John Doe
  headline:
  location: San Francisco, CA
  email: john.doe@email.com
  photo:
  phone:
  website: https://rendercv.com/
  social_networks:
  - network: LinkedIn
    username: rendercv
  - network: GitHub
    username: rendercv
  custom_connections:
  sections:
    Welcome to RenderCV:
    - RenderCV reads a CV written in a YAML file, and generates a PDF with 
      professional typography.
    - Each section title is arbitrary.
    education:
    - institution: Princeton University
      area: Computer Science
      degree: PhD
      date:
      start_date: 2018-09
      end_date: 2023-05
      location: Princeton, NJ
      summary:
      highlights:
      - 'Thesis: Efficient Neural Architecture Search for Resource-Constrained Deployment'
      - 'Advisor: Prof. Sanjeev Arora'
      - NSF Graduate Research Fellowship, Siebel Scholar (Class of 2022)
    - institution: Boğaziçi University
      area: Computer Engineering
      degree: BS
      date:
      start_date: 2014-09
      end_date: 2018-06
      location: Istanbul, Türkiye
      summary:
      highlights:
      - 'GPA: 3.97/4.00, Valedictorian'
      - Fulbright Scholarship recipient for Graduate Studies
    experience:
    - company: Nexus AI
      position: Co-Founder & CTO
      date:
      start_date: 2023-06
      end_date: present
      location: San Francisco, CA
      summary:
      highlights:
      - Built foundation model infrastructure serving 2M+ monthly API requests 
        with 99.97% uptime
      - Raised $18M Series A led by Sequoia Capital, with participation from 
        a16z and Founders Fund
      - Scaled engineering team from 3 to 28 across ML research, platform, and 
        applied AI divisions
      - Developed proprietary inference optimization reducing latency by 73% 
        compared to baseline
    - company: NVIDIA Research
      position: Research Intern
      date:
      start_date: 2022-05
      end_date: 2022-08
      location: Santa Clara, CA
      summary:
      highlights:
      - Designed sparse attention mechanism reducing transformer memory 
        footprint by 4.2x
      - Co-authored paper accepted at NeurIPS 2022 (spotlight presentation, top 
        5% of submissions)
    projects:
    - name: '[FlashInfer](https://github.com/)'
      date:
      start_date: 2023-01
      end_date: present
      location:
      summary: Open-source library for high-performance LLM inference kernels
      highlights:
      - Achieved 2.8x speedup over baseline attention implementations on A100 
        GPUs
      - Adopted by 3 major AI labs, 8,500+ GitHub stars, 200+ contributors
    - name: '[NeuralPrune](https://github.com/)'
      date: '2021'
      start_date:
      end_date:
      location:
      summary: Automated neural network pruning toolkit with differentiable 
        masks
      highlights:
      - Reduced model size by 90% with less than 1% accuracy degradation on 
        ImageNet
      - Featured in PyTorch ecosystem tools, 4,200+ GitHub stars
    publications:
    - title: 'Sparse Mixture-of-Experts at Scale: Efficient Routing for Trillion-Parameter
        Models'
      authors:
      - '*John Doe*'
      - Sarah Williams
      - David Park
      summary:
      doi: 10.1234/neurips.2023.1234
      url:
      journal: NeurIPS 2023
      date: 2023-07
    - title: Neural Architecture Search via Differentiable Pruning
      authors:
      - James Liu
      - '*John Doe*'
      summary:
      doi: 10.1234/neurips.2022.5678
      url:
      journal: NeurIPS 2022, Spotlight
      date: 2022-12
    selected_honors:
    - bullet: MIT Technology Review 35 Under 35 Innovators (2024)
    - bullet: Forbes 30 Under 30 in Enterprise Technology (2024)
    skills:
    - label: Languages
      details: Python, C++, CUDA, Rust, Julia
    - label: ML Frameworks
      details: PyTorch, JAX, TensorFlow, Triton, ONNX
    patents:
    - number: Adaptive Quantization for Neural Network Inference on Edge Devices
        (US Patent 11,234,567)
    - number: Dynamic Sparsity Patterns for Efficient Transformer Attention (US 
        Patent 11,345,678)
    invited_talks:
    - reversed_number: Scaling Laws for Efficient Inference — Stanford HAI 
        Symposium (2024)
    - reversed_number: Building AI Infrastructure for the Next Decade — 
        TechCrunch Disrupt (2024)

Sample Design (classic — complete reference)

This shows every available design field with its default value. All themes share the same structure.

yaml

design:
  theme: classic
  page:
    size: us-letter
    top_margin: 0.7in
    bottom_margin: 0.7in
    left_margin: 0.7in
    right_margin: 0.7in
    show_footer: true
    show_top_note: true
  colors:
    body: rgb(0, 0, 0)
    name: rgb(0, 79, 144)
    headline: rgb(0, 79, 144)
    connections: rgb(0, 79, 144)
    section_titles: rgb(0, 79, 144)
    links: rgb(0, 79, 144)
    footer: rgb(128, 128, 128)
    top_note: rgb(128, 128, 128)
  typography:
    line_spacing: 0.6em
    alignment: justified
    date_and_location_column_alignment: right
    font_family:
      body: Source Sans 3
      name: Source Sans 3
      headline: Source Sans 3
      connections: Source Sans 3
      section_titles: Source Sans 3
    font_size:
      body: 10pt
      name: 30pt
      headline: 10pt
      connections: 10pt
      section_titles: 1.4em
    small_caps:
      name: false
      headline: false
      connections: false
      section_titles: false
    bold:
      name: true
      headline: false
      connections: false
      section_titles: true
  links:
    underline: false
    show_external_link_icon: false
  header:
    alignment: center
    photo_width: 3.5cm
    photo_position: left
    photo_space_left: 0.4cm
    photo_space_right: 0.4cm
    space_below_name: 0.7cm
    space_below_headline: 0.7cm
    space_below_connections: 0.7cm
    connections:
      phone_number_format: national
      hyperlink: true
      show_icons: true
      display_urls_instead_of_usernames: false
      separator: ''
      space_between_connections: 0.5cm
  section_titles:
    type: with_partial_line
    line_thickness: 0.5pt
    space_above: 0.5cm
    space_below: 0.3cm
  sections:
    allow_page_break: true
    space_between_regular_entries: 1.2em
    space_between_text_based_entries: 0.3em
    show_time_spans_in:
      - experience
  entries:
    date_and_location_width: 4.15cm
    side_space: 0.2cm
    space_between_columns: 0.1cm
    allow_page_break: false
    short_second_row: true
    degree_width: 1cm
    summary:
      space_above: 0cm
      space_left: 0cm
    highlights:
      bullet: •
      nested_bullet: •
      space_left: 0.15cm
      space_above: 0cm
      space_between_items: 0cm
      space_between_bullet_and_text: 0.5em
  templates:
    footer: '*NAME -- PAGE_NUMBER/TOTAL_PAGES*'
    top_note: '*LAST_UPDATED CURRENT_DATE*'
    single_date: MONTH_ABBREVIATION YEAR
    date_range: START_DATE – END_DATE
    time_span: HOW_MANY_YEARS YEARS HOW_MANY_MONTHS MONTHS
    one_line_entry:
      main_column: '**LABEL:** DETAILS'
    education_entry:
      main_column: |-
        **INSTITUTION**, AREA
        SUMMARY
        HIGHLIGHTS
      degree_column: '**DEGREE**'
      date_and_location_column: |-
        LOCATION
        DATE
    normal_entry:
      main_column: |-
        **NAME**
        SUMMARY
        HIGHLIGHTS
      date_and_location_column: |-
        LOCATION
        DATE
    experience_entry:
      main_column: |-
        **COMPANY**, POSITION
        SUMMARY
        HIGHLIGHTS
      date_and_location_column: |-
        LOCATION
        DATE
    publication_entry:
      main_column: |-
        **TITLE**
        SUMMARY
        AUTHORS
        URL (JOURNAL)
      date_and_location_column: DATE

Other Theme Overrides

Other themes only override specific fields from the classic defaults above. To use a theme, set

design.theme

and optionally override any field. Each theme also customizes

design.templates

(entry layout patterns) — see the classic sample above for the full template structure. The override YAMLs below omit templates for brevity.

harvard

yaml

# yaml-language-server: $schema=../../../../../../schema.json
design:
  theme: harvard
  page:
    top_margin: 0.5in
    bottom_margin: 0.5in
    left_margin: 0.5in
    right_margin: 0.5in
    show_top_note: false
  colors:
    name: rgb(0,0,0)
    headline: rgb(0,0,0)
    connections: rgb(0,0,0)
    section_titles: rgb(0,0,0)
    links: rgb(0,0,0)
  typography:
    font_family:
      body: XCharter
      name: XCharter
      headline: XCharter
      connections: XCharter
      section_titles: XCharter
    font_size:
      name: 25pt
      connections: 9pt
      section_titles: 1.3em
  header:
    space_below_name: 0.5cm
    space_below_headline: 0.5cm
    space_below_connections: 0.5cm
    connections:
      show_icons: false
      separator: •
      space_between_connections: 0.4cm
  section_titles:
    type: centered_with_centered_partial_line
    space_below: 0.2cm
  sections:
    space_between_regular_entries: 1em
    show_time_spans_in: []
  entries:
    short_second_row: false

engineeringresumes

yaml

# yaml-language-server: $schema=../../../../../../schema.json
design:
  theme: engineeringresumes
  page:
    show_footer: false
  typography:
    font_family:
      body: XCharter
      name: XCharter
      headline: XCharter
      connections: XCharter
      section_titles: XCharter
    font_size:
      name: 25pt
      section_titles: 1.2em
    bold:
      name: false
  header:
    connections:
      separator: '|'
      show_icons: false
      display_urls_instead_of_usernames: true
  colors:
    name: rgb(0,0,0)
    connections: rgb(0,0,0)
    headline: rgb(0,0,0)
    section_titles: rgb(0,0,0)
    links: rgb(0,0,0)
  links:
    underline: true
    show_external_link_icon: false
  section_titles:
    type: with_full_line
    space_above: 0.5cm
    space_below: 0.3cm
  sections:
    space_between_regular_entries: 0.42cm
    space_between_text_based_entries: 0.15cm
    show_time_spans_in: []
  entries:
    short_second_row: false
    summary:
      space_above: 0.08cm
    side_space: 0cm
    highlights:
      bullet: ●
      nested_bullet: ●
      space_left: 0cm
      space_above: 0.08cm
      space_between_items: 0.08cm
      space_between_bullet_and_text: 0.3em

engineeringclassic

yaml

# yaml-language-server: $schema=../../../../../../schema.json
design:
  theme: engineeringclassic
  typography:
    font_family:
      body: Raleway
      name: Raleway
      headline: Raleway
      connections: Raleway
      section_titles: Raleway
    bold:
      name: false
      section_titles: false
  header:
    alignment: left
  links:
    show_external_link_icon: false
  section_titles:
    type: with_full_line
  sections:
    show_time_spans_in: []
  entries:
    short_second_row: false
    summary:
      space_above: 0.12cm
    highlights:
      space_left: 0cm
      space_above: 0.12cm
      space_between_items: 0.12cm

sb2nov

yaml

# yaml-language-server: $schema=../../../../../../schema.json
design:
  theme: sb2nov
  typography:
    font_family:
      body: New Computer Modern
      name: New Computer Modern
      headline: New Computer Modern
      connections: New Computer Modern
      section_titles: New Computer Modern
  colors:
    name: rgb(0,0,0)
    connections: rgb(0,0,0)
    section_titles: rgb(0,0,0)
    headline: rgb(0,0,0)
    links: rgb(0,0,0)
  links:
    underline: true
    show_external_link_icon: false
  section_titles:
    type: with_full_line
  sections:
    show_time_spans_in: []
  header:
    connections:
      hyperlink: true
      show_icons: false
      display_urls_instead_of_usernames: true
      separator: •
  entries:
    short_second_row: false
    highlights:
      bullet: ◦
      nested_bullet: ◦

moderncv

yaml

# yaml-language-server: $schema=../../../../../../schema.json
design:
  theme: moderncv
  typography:
    line_spacing: 0.6em
    font_family:
      body: Fontin
      name: Fontin
      headline: Fontin
      connections: Fontin
      section_titles: Fontin
    font_size:
      name: 25pt
      section_titles: 1.4em
    bold:
      name: false
      section_titles: false
  header:
    alignment: left
    photo_width: 4.15cm
    photo_space_left: 0cm
    photo_space_right: 0.3cm
  links:
    underline: true
    show_external_link_icon: false
  section_titles:
    type: moderncv
    space_above: 0.55cm
    space_below: 0.3cm
    line_thickness: 0.15cm
  sections:
    show_time_spans_in: []
  entries:
    short_second_row: false
    side_space: 0cm
    space_between_columns: 0.3cm
    summary:
      space_above: 0.1cm
    highlights:
      space_left: 0cm
      space_above: 0.15cm
      space_between_items: 0.1cm
      space_between_bullet_and_text: 0.3em

rendercv

NPX Install

Tags

SKILL.md Content

Quick Start

YAML Structure

Pydantic Schema

Top-Level Model

CV Content (
`cv`
)

Entry Types

Design (
`design`
)

Locale (
`locale`
)

Settings (
`settings`
)

Important Patterns

YAML quoting

Bullet characters

Phone numbers

Text formatting

Date handling

Section titles

Publication authors

Nested highlights (sub-bullets)

CLI Reference

`rendercv new "Full Name"`

`rendercv render <input.yaml>`

`rendercv create-theme "theme-name"`

JSON Schema

Complete Example

Sample CV

Sample Design (classic — complete reference)

Other Theme Overrides

harvard

engineeringresumes

engineeringclassic

sb2nov

moderncv

rendercv

NPX Install

Tags

SKILL.md Content

Quick Start

YAML Structure

Pydantic Schema

Top-Level Model

CV Content (cv)

Entry Types

Design (design)

Locale (locale)

Settings (settings)

Important Patterns

YAML quoting

Bullet characters

Phone numbers

Text formatting

Date handling

Section titles

Publication authors

Nested highlights (sub-bullets)

CLI Reference

rendercv new "Full Name"

rendercv render <input.yaml>

rendercv create-theme "theme-name"

JSON Schema

Complete Example

Sample CV

Sample Design (classic — complete reference)

Other Theme Overrides

harvard

engineeringresumes

engineeringclassic

sb2nov

moderncv

CV Content (
`cv`
)

Design (
`design`
)

Locale (
`locale`
)

Settings (
`settings`
)

`rendercv new "Full Name"`

`rendercv render <input.yaml>`

`rendercv create-theme "theme-name"`