premium-pdf

Generate premium enterprise-style PDFs from markdown content, with automatic de-AI text humanization (removes em dashes, AI filler phrases, overly formal language) and a professional Navy + Gold design system.

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Install skill "premium-pdf" with this command: npx skills add andreasozzo/premium-pdf

Premium Enterprise PDF Generator

Generate high-quality, enterprise-grade PDF documents from markdown input. This skill applies a de-AI humanization pipeline to make LLM-generated text sound more natural, then renders it into a premium PDF with a professional Navy + Gold design system (marketing agency quality).


When to Use This Skill

Invoke this skill when the user:

  • Asks to create a PDF from markdown or text content
  • Wants to generate a professional report, proposal, or document
  • Needs to export content as a visually polished enterprise document
  • Says phrases like: "create a PDF", "generate a report PDF", "export as enterprise PDF", "make a premium PDF"

How to Invoke

Basic usage (markdown string)

python3 premium-pdf/generate_pdf.py \
  --input "# Report Title

Your markdown content here..." \
  --output output.pdf \
  --title "Document Title"

From a markdown file

python3 premium-pdf/generate_pdf.py \
  --input path/to/document.md \
  --output output.pdf \
  --title "Document Title"

With a company logo in the header

python3 premium-pdf/generate_pdf.py \
  --input path/to/document.md \
  --output output.pdf \
  --title "Quarterly Report" \
  --logo path/to/company-logo.png

Parameters

ParameterRequiredDescription
--input or -iYesMarkdown text (string) or path to a .md file
--output or -oYesOutput PDF file path (e.g., report.pdf)
--title or -tNoDocument title shown in the header (default: "Enterprise Report")
--logoNoPath to a PNG or JPG logo image to display in the header

What the Skill Does

1. De-AI Text Humanization

Before rendering, the skill automatically applies text transformations:

  • Em dashes () → replaced with , (natural comma-based flow)
  • En dashes () → replaced with -
  • Formal AI phrases removed: "It is important to note", "Furthermore", "Moreover", "Additionally", "In conclusion", "In order to"
  • AI buzzwords replaced: "utilize" → "use", "leverage" → "use", "delve into" → "explore", "comprehensive" → "complete", "robust" → "solid", "seamlessly" → "smoothly"
  • Unnecessary qualifiers stripped: "basically", "literally", "actually", "quite"
  • Double spaces normalized

2. Premium PDF Design (Navy + Gold)

The generated PDF features:

  • Color palette: 60% white/light gray, 30% deep navy (#1A2B4A), 10% gold (#C9A84C)
  • Typography hierarchy: H1 28pt → H2 20pt → H3 16pt → H4 13pt → Body 11pt
  • Professional header: Navy background with white title + date (optional logo support)
  • Gold accent lines: Under H2 headings and above the footer
  • Page numbers: Centered footer with page count
  • Justified body text for professional document appearance

3. Markdown Elements Supported

  • Headings: #, ##, ###, ####
  • Bold and italic and bold-italic text
  • Inline code and fenced code blocks
  • Unordered lists (-, *, +) and ordered lists (1., 2.)
  • Nested list items
  • Blockquotes (>)
  • Horizontal rules (---)
  • Hyperlinks (rendered as bold text)

Setup (First Time)

Install Python dependencies:

pip3 install -r premium-pdf/requirements.txt

Or install directly:

pip3 install "reportlab>=4.0.0" "Pillow>=9.0.0"

Example Interaction

User: "Create a PDF from this markdown report and save it as quarterly-report.pdf"

Agent action:

python3 premium-pdf/generate_pdf.py \
  --input "[user's markdown content]" \
  --output quarterly-report.pdf \
  --title "Quarterly Report Q1 2026"

Output: PDF generated successfully: /absolute/path/to/quarterly-report.pdf

After running, inform the user of the output path so they can open the file.


Error Handling

If the script returns an error:

  1. Check that reportlab is installed: pip3 install reportlab
  2. Verify the input markdown is not empty
  3. Ensure the output directory is writable
  4. Check that the logo file path exists (if --logo is used)

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