Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install lyq-lin-ycode-cli-pdf
Repository
Skill path: YCode.CLI/skills/pdf
Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: lyq-lin.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install pdf into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/lyq-lin/YCode.CLI before adding pdf to shared team environments
- Use pdf for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: pdf
description: Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
---
# PDF Processing Skill
You now have expertise in PDF manipulation. Follow these workflows:
## Reading PDFs
**Option 1: Quick text extraction (preferred)**
```bash
# Using pdftotext (poppler-utils)
pdftotext input.pdf - # Output to stdout
pdftotext input.pdf output.txt # Output to file
# If pdftotext not available, try:
python3 -c "
import fitz # PyMuPDF
doc = fitz.open('input.pdf')
for page in doc:
print(page.get_text())
"
```
**Option 2: Page-by-page with metadata**
```python
import fitz # pip install pymupdf
doc = fitz.open("input.pdf")
print(f"Pages: {len(doc)}")
print(f"Metadata: {doc.metadata}")
for i, page in enumerate(doc):
text = page.get_text()
print(f"--- Page {i+1} ---")
print(text)
```
## Creating PDFs
**Option 1: From Markdown (recommended)**
```bash
# Using pandoc
pandoc input.md -o output.pdf
# With custom styling
pandoc input.md -o output.pdf --pdf-engine=xelatex -V geometry:margin=1in
```
**Option 2: Programmatically**
```python
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
c = canvas.Canvas("output.pdf", pagesize=letter)
c.drawString(100, 750, "Hello, PDF!")
c.save()
```
**Option 3: From HTML**
```bash
# Using wkhtmltopdf
wkhtmltopdf input.html output.pdf
# Or with Python
python3 -c "
import pdfkit
pdfkit.from_file('input.html', 'output.pdf')
"
```
## Merging PDFs
```python
import fitz
result = fitz.open()
for pdf_path in ["file1.pdf", "file2.pdf", "file3.pdf"]:
doc = fitz.open(pdf_path)
result.insert_pdf(doc)
result.save("merged.pdf")
```
## Splitting PDFs
```python
import fitz
doc = fitz.open("input.pdf")
for i in range(len(doc)):
single = fitz.open()
single.insert_pdf(doc, from_page=i, to_page=i)
single.save(f"page_{i+1}.pdf")
```
## Key Libraries
| Task | Library | Install |
|------|---------|---------|
| Read/Write/Merge | PyMuPDF | `pip install pymupdf` |
| Create from scratch | ReportLab | `pip install reportlab` |
| HTML to PDF | pdfkit | `pip install pdfkit` + wkhtmltopdf |
| Text extraction | pdftotext | `brew install poppler` / `apt install poppler-utils` |
## Best Practices
1. **Always check if tools are installed** before using them
2. **Handle encoding issues** - PDFs may contain various character encodings
3. **Large PDFs**: Process page by page to avoid memory issues
4. **OCR for scanned PDFs**: Use `pytesseract` if text extraction returns empty