pdf

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Handle PDF manipulation, form filling, text/table extraction, and high-fidelity generation. Use for professional PDF reports, merging documents, and automated form processing. Use proactively when visual quality and verification are critical. Examples: - user: "Fill this PDF form and verify" -> populate fields and inspect images - user: "Merge these reports and add a watermark" -> use pypdf - user: "Extract this complex table to Excel" -> use pdfplumber for layout preservation

IgorWarzocha By IgorWarzocha schedule Updated 1/25/2026

name: pdf description: |- Handle PDF manipulation, form filling, text/table extraction, and high-fidelity generation. Use for professional PDF reports, merging documents, and automated form processing. Use proactively when visual quality and verification are critical.

Examples: - user: "Fill this PDF form and verify" -> populate fields and inspect images - user: "Merge these reports and add a watermark" -> use pypdf - user: "Extract this complex table to Excel" -> use pdfplumber for layout preservation

# PDF Professional Suite

🛠 High-Fidelity Creation

When generating polished reports:

  1. Generate: Use Reportlab (programmatic) or Platypus (templated) as the primary engine.
  2. Preview: Convert every page to PNG for inspection:
    • pdftoppm -png -r 150 document.pdf page
  3. Inspect: Verify that charts, tables, and typography are sharp and well-aligned.

📋 Common Operations

1. Form Filling

  • Identify fillable fields using scripts/extract_form_field_info.py.
  • Reference: See references/forms.md for detailed instructions on filling PDF forms.
  • Populate fields programmatically and verify using the Render loop.

2. Manipulation (pypdf)

  • Merge: Use PdfWriter to combine multiple documents.
  • Split: Extract individual pages into new files.
  • Secure: Add passwords or watermarks using PdfWriter.encrypt().
  • Reference: See references/reference.md for advanced features and JS library alternatives.

3. Extraction (pdfplumber)

  • Extract text with layout preservation.
  • Extract complex tables directly into Pandas DataFrames for analysis.

💎 Quality Expectations

  • Legibility: Text must be readable at 100% zoom; avoid walls of dense text.
  • Polish: Maintain intentional visual design—consistent margins and color palettes.
  • Verification: Zero defects (black squares, clipped text) permitted in final output.
Install via CLI
npx skills add https://github.com/IgorWarzocha/Opencode-Workflows --skill pdf
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