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85f44c358a
- Remove all reverse-engineered Claude Code source code - Replace with 100% original educational content from mini-claude-code - Add clear disclaimer: independent project, not affiliated with Anthropic - 5 progressive agent implementations (v0-v4, ~1100 lines total) - Include agent-builder skill for teaching agent construction - Bilingual documentation (EN + ZH) This repository now focuses purely on teaching how modern AI agents work through original, from-scratch implementations. Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
113 lines
2.5 KiB
Markdown
113 lines
2.5 KiB
Markdown
---
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name: pdf
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description: Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
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---
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# PDF Processing Skill
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You now have expertise in PDF manipulation. Follow these workflows:
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## Reading PDFs
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**Option 1: Quick text extraction (preferred)**
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```bash
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# Using pdftotext (poppler-utils)
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pdftotext input.pdf - # Output to stdout
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pdftotext input.pdf output.txt # Output to file
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# If pdftotext not available, try:
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python3 -c "
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import fitz # PyMuPDF
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doc = fitz.open('input.pdf')
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for page in doc:
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print(page.get_text())
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"
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```
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**Option 2: Page-by-page with metadata**
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```python
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import fitz # pip install pymupdf
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doc = fitz.open("input.pdf")
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print(f"Pages: {len(doc)}")
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print(f"Metadata: {doc.metadata}")
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for i, page in enumerate(doc):
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text = page.get_text()
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print(f"--- Page {i+1} ---")
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print(text)
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```
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## Creating PDFs
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**Option 1: From Markdown (recommended)**
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```bash
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# Using pandoc
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pandoc input.md -o output.pdf
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# With custom styling
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pandoc input.md -o output.pdf --pdf-engine=xelatex -V geometry:margin=1in
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```
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**Option 2: Programmatically**
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```python
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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c = canvas.Canvas("output.pdf", pagesize=letter)
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c.drawString(100, 750, "Hello, PDF!")
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c.save()
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```
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**Option 3: From HTML**
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```bash
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# Using wkhtmltopdf
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wkhtmltopdf input.html output.pdf
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# Or with Python
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python3 -c "
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import pdfkit
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pdfkit.from_file('input.html', 'output.pdf')
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"
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```
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## Merging PDFs
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```python
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import fitz
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result = fitz.open()
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for pdf_path in ["file1.pdf", "file2.pdf", "file3.pdf"]:
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doc = fitz.open(pdf_path)
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result.insert_pdf(doc)
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result.save("merged.pdf")
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```
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## Splitting PDFs
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```python
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import fitz
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doc = fitz.open("input.pdf")
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for i in range(len(doc)):
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single = fitz.open()
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single.insert_pdf(doc, from_page=i, to_page=i)
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single.save(f"page_{i+1}.pdf")
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```
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## Key Libraries
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| Task | Library | Install |
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|------|---------|---------|
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| Read/Write/Merge | PyMuPDF | `pip install pymupdf` |
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| Create from scratch | ReportLab | `pip install reportlab` |
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| HTML to PDF | pdfkit | `pip install pdfkit` + wkhtmltopdf |
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| Text extraction | pdftotext | `brew install poppler` / `apt install poppler-utils` |
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## Best Practices
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1. **Always check if tools are installed** before using them
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2. **Handle encoding issues** - PDFs may contain various character encodings
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3. **Large PDFs**: Process page by page to avoid memory issues
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4. **OCR for scanned PDFs**: Use `pytesseract` if text extraction returns empty
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