frontend-cv

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: [e-mail]
  phone: [phone]
  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 
    
         
          
           
         
         
          
        
            
    
        
           
    
         
         
          
        
              

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:

• references/theme-presets.md — Theme characteristics and when to use each
• references/html-template.md — Shared HTML shell and section structure

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

File	Purpose	When to Read
references/html-template.md	Shared HTML shell and theme structure	Phase 3 (generation)
references/theme-presets.md	Five theme specifications	Phase 2 (style selection)
scripts/extract_resume.py	Document extraction script	Phase 1 (extraction)
scripts/render_html.py	Main renderer for all five themes	Phase 2-4