agentleFS
truongpx396truongpx396/learn-harness-engineering-by-building-mini-claude-code/skills/pdf/SKILL.md

pdf

Skill7 starsChanged 8 months agoMITView on GitHub

Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.

  • Installs packages

211 other projects use a version of this, 4 of them edited; 1 new project in the last 4 weeks, against 2 the 4 before.

Adopted by

Cooling: 1 new project took it in the last 4 weeks, 0.5× the 4 weeks before.thin data

Week of Sep 13: 1 new projectWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 1 new projectWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 1 new projectWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 3 in all, so this is a hint, not a trend.

Most recently taken up by

Used with

Projects with it also use gift-evaluator, Podcast Generate and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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    Also in 5 projects that use this

  • dav-niu474Skill

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    Also in 5 projects that use this

  • huang-x-hSkill

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    Also in 6 projects that use this

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    Also in 6 projects that use this

  • Liang-MHSkill

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    Also in 5 projects that use this

  • OpenAISkill

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    Also in 5 projects that use this

  • +1 more from huang-x-h
  • +3 more from dav-niu474

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 170 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Always check if tools are installed: before using them

    line 109
  2. Very specific:

    OCR for scanned PDFs: Use pytesseract if text extraction returns empty

    line 112

“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

PDF Processing Skill

You now have expertise in PDF manipulation. Follow these workflows:

Reading PDFs

Option 1: Quick text extraction (preferred)

# 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

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)

# 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

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

# Using wkhtmltopdf
wkhtmltopdf input.html output.pdf

# Or with Python
python3 -c "
import pdfkit
pdfkit.from_file('input.html', 'output.pdf')
"

Merging PDFs

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

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

TaskLibraryInstall
Read/Write/MergePyMuPDFpip install pymupdf
Create from scratchReportLabpip install reportlab
HTML to PDFpdfkitpip install pdfkit + wkhtmltopdf
Text extractionpdftotextbrew 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

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