Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms,
$ npx -y skills add K-Dense-AI/scientific-agent-skills --skill pdf --agent claude-code
Installs just this skill. Get the whole plugin for auto-invocation.
β‘ How it fires
How this skill gets triggered: by you, by Claude, or both.
Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/pdf
ποΈ Context preview
The summary Claude sees to decide when to auto-load this skill.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms,
π Stats
Stars31,545
Forks3,146
LanguagePython
LicenseMIT
π¦ Ships with scientific-agent-skills
</> SKILL.md
pdf.SKILL.md
---name: pdf
description: Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
license: Proprietary. LICENSE.txt has complete terms
metadata: {"version": "1.0"}
---# 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
```python
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
story.append(Paragraph("Content for page 2", styles['Normal']))
# Build PDF
doc.build(story)
```
#### Subscripts and Superscripts
**IMPORTANT**: Never use Unicode subscript/superscript characters (ββββββ ββββ, β°ΒΉΒ²Β³β΄β΅βΆβ·βΈβΉ) in ReportLab PDFs. The built-in fonts do not include these glyphs, causing them to render as solid black boxes.
Instead, use ReportLab's XML markup tags in Paragraph objects:
```python
from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheet
styles = getSampleStyleSheet()
# Subscripts: use <sub> tag
chemical = Paragraph("H<sub>2</sub>O", styles['Normal'])