Can I protect my documents with passwords?

Yes, it provides code snippets for encrypting PDFs with user and owner passwords, as well as decrypting files using qpdf.

Does it support command-line tools for faster processing?

Absolutely. It covers industry-standard CLI tools like qpdf for merging/encryption and poppler-utils (pdftotext) for high-speed text extraction.

How does it handle PDF forms?

The skill includes specialized patterns for programmatically filling out PDF form fields and handling interactive document elements.

Which Python libraries are covered in this skill?

The skill provides implementation patterns for pypdf for basic operations, pdfplumber for advanced table extraction, and ReportLab for document generation.

Can I use this skill to extract data from scanned PDFs?

Yes, it includes specific guidance for using pytesseract and pdf2image to perform OCR on scanned document images.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: kaodean

bykaodean

0•

Productivity & Workflow

Manipulates, generates, and extracts structured data from PDF documents using Python libraries and command-line utilities.

The PDF Processing skill provides Claude with a comprehensive toolkit for handling PDF documents programmatically. It includes optimized patterns for extracting text and complex tables with layout preservation, merging and splitting files, and generating new documents from scratch using ReportLab. Whether you need to automate form filling, perform OCR on scanned documents, or manage document security through encryption and watermarking, this skill offers standardized implementation guides to streamline high-volume document workflows.

Key Features

01Programmatically generate PDFs with custom layouts and graphics via ReportLab

02Automate command-line PDF processing with qpdf and poppler-utils integration

03Extract structured text and complex tables with layout preservation using pdfplumber

04Handle advanced tasks like OCR for scanned files, watermarking, and password protection

05Manage document structure including merging, splitting, and page rotation using pypdf

060 GitHub stars

Use Cases

01Batch processing document repositories for metadata cleanup and standardized watermarking

02Generating dynamic business reports and certificates directly from application data

03Automating the extraction of data from PDF invoices into structured formats like Excel or JSON

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kaodean/monco pdf

For use in Claude.ai and ChatGPT

Download Skill