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frontend-cv前端简历

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

总安装

6,854

周安装

280

GitHub Stars

公开资料未说明

下载量

2,218
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:frontend-cv(前端简历)
来源仓库:https://github.com/vintlin/frontend-cv
安装命令:
openclaw skills install frontend-cv
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install frontend-cv

简介

frontend-cv 支持从 MD/PDF/Word/TXT 等格式生成 HTML/PDF 简历。

  • 适合在 OpenClaw 中自动化简历处理、数据提取与样式化输出。
  • 转换过程保留结构化信息,便于后续导入 HR 系统或在线展示。
  • 输出前请校对格式与个人信息准确性,防止泄露敏感内容。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
frontend-cv
description
Create professional HTML/PDF resumes from any input format (md/pdf/word/txt). Extracts resume data, converts to structured YAML, generates styled HTML with multiple theme options, and exports to PDF. Use when users want to create, convert, or redesign their CV/resume with modern web styling.

Frontend CV

Generate professional, print-ready HTML resumes that export cleanly to PDF. Prefer the bundled renderer for consistent theme layouts.

Core Principles

  1. Zero Dependencies — Single HTML files with inline CSS. No npm, no build tools.
  2. Print-First Design — Every style must look perfect in PDF export via browser print.
  3. Structured Data — Extract and normalize resume data into clean YAML format.
  4. Visual Choice — Show style previews, let users pick what resonates.
  5. Theme Fidelity — The five built-in themes provide distinct professional styles: classic, modern, academic, and engineering-focused layouts.

Design Aesthetics

Create distinctive, professional resumes that stand out:

  • Typography: Use elegant, readable fonts (avoid generic system fonts)
  • Layout: Clear hierarchy, scannable sections, optimal whitespace
  • Color: Professional palettes that print well (consider B&W printing)
  • Print-Ready: Perfect @media print CSS for clean PDF export

Avoid generic templates:

  • Overused fonts (Arial, Times New Roman, Calibri)
  • Cluttered layouts with poor spacing
  • Colors that don't print well
  • Inconsistent styling

Phase 0: Detect Input Mode

Determine what the user provides:

  • Mode A: Structured Data — User provides YAML/JSON → Go to Phase 2
  • Mode B: Document Conversion — User provides PDF/Word/Markdown/Text → Go to Phase 1
  • Mode C: From Scratch — User wants to build from conversation → Go to Phase 1 (interactive)

Phase 1: Extract & Structure Data

Step 1.1: Extract Content

For document files (PDF/DOCX/TXT/MD):

Run extraction script:

python scripts/extract_resume.py <input_file> --output resume_data.txt

The script handles:

  • PDF: Extract text with layout preservation
  • DOCX: Parse document structure
  • TXT/MD: Direct text read

Step 1.2: AI-Assisted Structuring

Read the extracted text and convert to YAML format. Use this structure:

cv:
  name: Full Name
  headline: Professional Title
  location: City, Country
  email: email@example.com
  phone: +1234567890
  website: https://example.com
  social_networks:
    - network: LinkedIn
      username: username
    - network: GitHub
      username: username
  sections:
    summary:
      - Brief professional summary paragraph
    experience:
      - company: Company Name
        position: Job Title
        start_date: YYYY-MM
        end_date: present
        location: City, Country
        highlights:
          - Achievement or responsibility
          - Another achievement
    education:
      - institution: University Name
        degree: Degree Type
        area: Field of Study
        start_date: YYYY-MM
        end_date: YYYY-MM
        location: City, Country
        highlights:
          - Notable achievement
    skills:
      - label: Category
        details: Skill1, Skill2, Skill3
    projects:
      - name: Project Name
        date: YYYY
        summary: Brief description
        highlights:
          - Key feature or achievement

Save as resume_data.yaml and show to user for confirmation.

Ask user: "I've structured your resume data. Please review and let me know if anything needs adjustment."

Phase 2: Style Selection

Step 2.1: Ask Style Preference

Ask (header: "Style"): How do you want to choose your resume style?

  • "Show me previews (Recommended)" — Generate 5 visual previews
  • "Pick from list" — Choose from preset themes directly

If direct selection: Show available themes and skip to Phase 3.

Available themes:

  • Classic — Centered header with blue accents, stable and versatile
  • ModernCV — Left-aligned header with side date column
  • Sb2nov — Academic serif typography style
  • Engineering Classic — Light blue engineering aesthetic
  • Engineering Resumes — Black and white compact single-page layout

Step 2.2: Generate Style Previews

Generate 5 HTML previews using the bundled renderer and the user's real data.

Save to .claude-design/cv-previews/:

  • style-classic.html
  • style-moderncv.html
  • style-sb2nov.html
  • style-engineeringclassic.html
  • style-engineeringresumes.html

Open each preview automatically.

Step 2.3: User Selection

Ask (header: "Theme"): Which style do you prefer?

  • Classic
  • ModernCV
  • Sb2nov
  • Engineering Classic
  • Engineering Resumes
  • Mix elements

If "Mix elements", ask for specifics.

Phase 3: Generate Full Resume

Generate complete HTML resume using:

  • Structured YAML data from Phase 1
  • Selected style from Phase 2

Prefer the bundled renderer over hand-writing HTML:

python3 scripts/render_html.py resume_data.yaml resume.html classic

Supported renderer themes:

  • classic
  • modern
  • sb2nov
  • engineeringclassic
  • engineeringresumes

Before generating, read:

The bundled renderer already inlines print-safe CSS.

Key requirements:

  • Single self-contained HTML file
  • Use the bundled renderer's inline CSS output as the source of truth
  • Add @media print rules for clean PDF export
  • Use web fonts (Google Fonts/Fontshare)
  • Inline editing support (optional, ask user)
  • Detailed comments for each section

Print optimization:

  • Page breaks: page-break-inside: avoid for sections
  • Colors: Ensure readability in B&W
  • Margins: Standard print margins (0.5-0.75in)
  • Font sizes: 10-12pt body, appropriate hierarchy

Phase 4: PDF Export

After generating HTML:

  1. Open in browser: open resume.html
  2. Instruct user:

- Press Cmd+P (Mac) or Ctrl+P (Windows) - Select "Save as PDF" - Adjust margins if needed (usually "Default" works) - Save

Alternative: Provide Python script for automated PDF generation (requires weasyprint or playwright).

Phase 5: Delivery

  1. Clean up — Delete .claude-design/cv-previews/ if exists
  2. Open — Launch HTML in browser
  3. Summarize:

- File location and theme name - How to export PDF (Cmd+P → Save as PDF) - How to edit: If editing enabled, click any text to edit, Ctrl+S to save - Customization: CSS variables in :root for colors/spacing

Supporting Files

FilePurposeWhen to Read
references/html-template.mdShared HTML shell and theme structurePhase 3 (generation)
references/theme-presets.mdFive theme specificationsPhase 2 (style selection)
scripts/extract_resume.pyDocument extraction scriptPhase 1 (extraction)
scripts/render_html.pyMain renderer for all five themesPhase 2-4

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.85%
按下载量换算1,594

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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