PDF Processing

This is a straightforward wrapper around pdfplumber for extracting text and tables from PDFs. You get simple code snippets showing the basics: open a PDF, pull text from a page, detect and extract tables. It's part of davila7's larger template collection that has 27.7K stars, so the code is likely solid. Useful if you're building document processing features and want Claude to understand the pdfplumber patterns without looking them up. Nothing fancy here, just the common PDF extraction tasks you'd actually need. Passes all three security audits, which matters when you're handling documents that might contain sensitive data.

GitHub stars: 30.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill 'PDF Processing' --agent claude-code

Installs into .claude/skills of the current project.

Files

PDF Processing Guide

Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.

Quick Start

from pypdf import PdfReader, PdfWriter

# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")

# Extract text
text = ""
for page in reader.pages:
    text += page.extract_text()

Python Libraries

pypdf - Basic Operations

Merge PDFs

from pypdf import PdfWriter, PdfReader

writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
    reader = PdfReader(pdf_file)
    for page in reader.pages:
        writer.add_page(page)

with open("merged.pdf", "wb") as output:
    writer.write(output)

Split PDF

reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
    writer = PdfWriter()
    writer.add_page(page)
    with open(f"page_{i+1}.pdf", "wb") as output:
        writer.write(output)

SKILL.md on GitHub