Generate publication-quality CVs from YAML inputs into PDF, HTML, Markdown, and PNG outputs.
npx skills add https://github.com/rendercv/rendercv-skill --skill rendercv-rendercv
Please help me install this Agent Skill. Skill: rendercv Source: https://github.com/rendercv/rendercv-skill/tree/main/skills/rendercv Command: npx skills add https://github.com/rendercv/rendercv-skill --skill rendercv-rendercv
RenderCV automates the creation of professional CVs and resumes from YAML data, delivering publication-quality PDFs with precise typography and layout.
Create a starter YAML for John Doe and render a PDF with the classic theme
High-intent search queries and answers about installing and using this skill.
You can generate a PDF resume by defining your content and layout preferences in a YAML file with four sections: cv, design, locale, and settings. The Skill validates this YAML input and renders a publication-quality PDF using Typst-based rendering.
Yes, you can customize themes and typography for a YAML-generated CV. The Skill provides six built-in themes and allows adjustments to colors, fonts, margins, and spacing within the design section of your YAML input file.
Yes, this YAML resume generator supports multi-language CVs through built-in locales. You configure language settings in the locale section of your YAML input, enabling easy localization for global job applications.
When creating a CV from YAML, the available output formats include PDF, HTML, Markdown, and PNG. This allows you to distribute your resume across different platforms while maintaining consistent publication-quality typography and layout.
The best way to structure YAML data for a resume is to use its four-section architecture: cv for content, design for visual styling, locale for language, and settings for output rules. This structure is validated by Pydantic models to ensure correct rendering.
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