Which Python libraries are recommended for table extraction?

The skill specifically highlights pdfplumber for its advanced table extraction and layout preservation capabilities.

Can I use this to fill out PDF forms programmatically?

Yes, the skill covers form-filling procedures using libraries like pdf-lib or pypdf.

Can this skill handle scanned PDFs without selectable text?

Yes, the skill includes patterns for using pytesseract and pdf2image to perform OCR on scanned documents.

Is it possible to protect or decrypt PDFs with this skill?

The skill provides code snippets for adding password protection and using qpdf to decrypt encrypted documents.

Does this skill support command-line PDF tools?

Yes, it provides implementation guides for popular CLI tools like qpdf, pdftotext (poppler-utils), and pdftk.

PDF Document Processing

Name: PDF Document Processing
Author: piotroq

bypiotroq

0•

Content Management

Automates complex PDF tasks including text extraction, table parsing, document merging, and programmatic PDF generation.

This skill equips Claude with a comprehensive toolkit for managing PDF workflows. It provides domain-specific patterns for extracting structured data from tables, performing OCR on scanned documents, and generating professional-grade reports using Python and specialized CLI tools. Whether you need to automate document processing pipelines, manage large PDF archives, or create dynamic invoices, this skill provides the necessary implementation logic and best practices for tools like pypdf, pdfplumber, and reportlab.

Key Features

01OCR support for extracting content from scanned PDF documents

020 GitHub stars

03Programmatic PDF creation using reportlab and Platypus

04Structured text and table extraction with layout preservation

05Advanced document operations like merging, splitting, and rotating

06Security features including encryption, decryption, and password management

Use Cases

01Building high-volume document pipelines for merging or splitting legal and administrative files

02Automating structured data extraction from PDF-based invoices and financial reports

03Generating dynamic PDF certificates, reports, or invoices from application data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add piotroq/adwokat-trzebnica-html-to-php-com document-skills

For use in Claude.ai and ChatGPT

Key Features

01OCR support for extracting content from scanned PDF documents

020 GitHub stars

03Programmatic PDF creation using reportlab and Platypus

04Structured text and table extraction with layout preservation

05Advanced document operations like merging, splitting, and rotating

06Security features including encryption, decryption, and password management

Use Cases

01Building high-volume document pipelines for merging or splitting legal and administrative files

02Automating structured data extraction from PDF-based invoices and financial reports

03Generating dynamic PDF certificates, reports, or invoices from application data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add piotroq/adwokat-trzebnica-html-to-php-com document-skills

For use in Claude.ai and ChatGPT