rendercv/rendercv-skill

RenderCV 技能

Give你的AI代理能够生成专业的简历和履历PDF.

安装此技能后，你的AI代理只需与AI对话，就能创建、编辑并渲染专业的简历和履历。描述你的体验，几秒钟内获得精致的PDF。从6个内置主题中选择，自定义颜色、字体、边距等。

RenderCV 是一个开源的简历/简历构建器，配有专业的排版。这项技能教会你的 AI 代理如何使用它，这样你就不用自己学了。

安装

支持任何支持技能标准的 AI 代理，包括 Claude Code、Claude Desktop、Cursor、Codex、Copilot、Windsurf、Gemini CLI 等。请参阅文档了解替代安装方法。

技能所提供的

该技能赋予你的AI代理：

• 对 RenderCV 的 YAML 输入结构的全面了解
• 全部6个内置主题及其设计选项
• 完整的本地和语言支持（内置20种语言）
• CLI 命令及其选项
• 用于精确字段类型和默认值的阳性模型模式
• 完整的示例简历作为参考

用途

安装技能后，只需让你的AI代理处理你的简历：

Install this skill and your AI agent can create, edit, and render professional CVs and resumes, just by talking to it. Describe your experience and get a polished PDF in seconds. Choose from 6 built-in themes, customize colors, fonts, margins, and more.

RenderCV is an open-source CV/resume builder with professional typography. This skill teaches your AI agent how to use it, so you don’t have to learn anything yourself.

Install

npx skills add rendercv/rendercv-skill

Works with any AI agent that supports the skills standard, including Claude Code, Claude Desktop, Cursor, Codex, Copilot, Windsurf, Gemini CLI, and more. See the documentation for alternative install methods.

What the Skill Provides

The skill gives your AI agent:

• Full knowledge of RenderCV’s YAML input structure
• All 6 built-in themes and their design options
• Complete locale and language support (20 built-in languages)
• CLI commands and their options
• Pydantic model schemas for precise field types and defaults
• A complete sample CV as a reference

Usage

After installing the skill, simply ask your AI agent to work with your CV:

• “Create a new CV for me using the classic theme”
• “Switch my CV to the engineeringresumes theme”
• “Add a new experience entry to my CV”
• “Change the font to Source Sans 3 and make the margins smaller”
• “Translate my CV to German”

Auto-Generated and Evaluated

This repository is automatically generated from the main rendercv/rendercv repository. A build script parses the Pydantic models via AST, generates sample CVs and design configs, and renders everything into a single SKILL.md through a Jinja2 template. This keeps the skill always in sync with the latest RenderCV version.

A promptfoo eval suite validates the skill’s quality. The evals cover CV generation, design customization, CLI workflows, and parsing messy CV text into clean YAML. Each generated YAML is validated through RenderCV’s own Pydantic pipeline, so schema violations are caught deterministically, not just with LLM-as-judge.

Do not open issues or pull requests here. All contributions should go to the main repository: rendercv/rendercv.