← Back to Skills Marketplace
climbkim

pdf-nano

by climbkim · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
48
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install pdf-nano
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 multipl...
README (SKILL.md)

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)

Extract Metadata

reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
print(f"Subject: {meta.subject}")
print(f"Creator: {meta.creator}")

Rotate Pages

reader = PdfReader("input.pdf")
writer = PdfWriter()

page = reader.pages[0]
page.rotate(90)  # Rotate 90 degrees clockwise
writer.add_page(page)

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

pdfplumber - Text and Table Extraction

Extract Text with Layout

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        print(text)

Extract Tables

with pdfplumber.open("document.pdf") as pdf:
    for i, page in enumerate(pdf.pages):
        tables = page.extract_tables()
        for j, table in enumerate(tables):
            print(f"Table {j+1} on page {i+1}:")
            for row in table:
                print(row)

Advanced Table Extraction

import pandas as pd

with pdfplumber.open("document.pdf") as pdf:
    all_tables = []
    for page in pdf.pages:
        tables = page.extract_tables()
        for table in tables:
            if table:  # Check if table is not empty
                df = pd.DataFrame(table[1:], columns=table[0])
                all_tables.append(df)

# Combine all tables
if all_tables:
    combined_df = pd.concat(all_tables, ignore_index=True)
    combined_df.to_excel("extracted_tables.xlsx", index=False)

reportlab - Create PDFs

Basic PDF Creation

from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

c = canvas.Canvas("hello.pdf", pagesize=letter)
width, height = letter

# Add text
c.drawString(100, height - 100, "Hello World!")
c.drawString(100, height - 120, "This is a PDF created with reportlab")

# Add a line
c.line(100, height - 140, 400, height - 140)

# Save
c.save()

Create PDF with Multiple Pages

from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet

doc = SimpleDocTemplate("report.pdf", pagesize=letter)
styles = getSampleStyleSheet()
story = []

# Add content
title = Paragraph("Report Title", styles['Title'])
story.append(title)
story.append(Spacer(1, 12))

body = Paragraph("This is the body of the report. " * 20, styles['Normal'])
story.append(body)
story.append(PageBreak())

# Page 2
story.append(Paragraph("Page 2", styles['Heading1']))
story.append(Paragraph("Content for page 2", styles['Normal']))

# Build PDF
doc.build(story)

Subscripts and Superscripts

IMPORTANT: Never use Unicode subscript/superscript characters (₀₁₂₃₄₅₆₇₈₉, ⁰¹²³⁴⁵⁶⁷⁸⁹) 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:

from reportlab.platypus import Paragraph
from reportlab.lib.styles import getSampleStyleSheet

styles = getSampleStyleSheet()

# Subscripts: use \x3Csub> tag
chemical = Paragraph("H\x3Csub>2\x3C/sub>O", styles['Normal'])

# Superscripts: use \x3Csuper> tag
squared = Paragraph("x\x3Csuper>2\x3C/super> + y\x3Csuper>2\x3C/super>", styles['Normal'])

For canvas-drawn text (not Paragraph objects), manually adjust font the size and position rather than using Unicode subscripts/superscripts.

Command-Line Tools

pdftotext (poppler-utils)

# Extract text
pdftotext input.pdf output.txt

# Extract text preserving layout
pdftotext -layout input.pdf output.txt

# Extract specific pages
pdftotext -f 1 -l 5 input.pdf output.txt  # Pages 1-5

qpdf

# Merge PDFs
qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf

# Split pages
qpdf input.pdf --pages . 1-5 -- pages1-5.pdf
qpdf input.pdf --pages . 6-10 -- pages6-10.pdf

# Rotate pages
qpdf input.pdf output.pdf --rotate=+90:1  # Rotate page 1 by 90 degrees

# Remove password
qpdf --password=mypassword --decrypt encrypted.pdf decrypted.pdf

pdftk (if available)

# Merge
pdftk file1.pdf file2.pdf cat output merged.pdf

# Split
pdftk input.pdf burst

# Rotate
pdftk input.pdf rotate 1east output rotated.pdf

Common Tasks

Extract Text from Scanned PDFs

# Requires: pip install pytesseract pdf2image
import pytesseract
from pdf2image import convert_from_path

# Convert PDF to images
images = convert_from_path('scanned.pdf')

# OCR each page
text = ""
for i, image in enumerate(images):
    text += f"Page {i+1}:\
"
    text += pytesseract.image_to_string(image)
    text += "\
\
"

print(text)

Add Watermark

from pypdf import PdfReader, PdfWriter

# Create watermark (or load existing)
watermark = PdfReader("watermark.pdf").pages[0]

# Apply to all pages
reader = PdfReader("document.pdf")
writer = PdfWriter()

for page in reader.pages:
    page.merge_page(watermark)
    writer.add_page(page)

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

Extract Images

# Using pdfimages (poppler-utils)
pdfimages -j input.pdf output_prefix

# This extracts all images as output_prefix-000.jpg, output_prefix-001.jpg, etc.

Password Protection

from pypdf import PdfReader, PdfWriter

reader = PdfReader("input.pdf")
writer = PdfWriter()

for page in reader.pages:
    writer.add_page(page)

# Add password
writer.encrypt("userpassword", "ownerpassword")

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

Quick Reference

Task Best Tool Command/Code
Merge PDFs pypdf writer.add_page(page)
Split PDFs pypdf One page per file
Extract text pdfplumber page.extract_text()
Extract tables pdfplumber page.extract_tables()
Create PDFs reportlab Canvas or Platypus
Command line merge qpdf qpdf --empty --pages ...
OCR scanned PDFs pytesseract Convert to image first
Fill PDF forms pdf-lib or pypdf (see FORMS.md) See FORMS.md

Next Steps

  • For advanced pypdfium2 usage, see REFERENCE.md
  • For JavaScript libraries (pdf-lib), see REFERENCE.md
  • If you need to fill out a PDF form, follow the instructions in FORMS.md
  • For troubleshooting guides, see REFERENCE.md
Usage Guidance
Review this skill before installing. It appears useful for local PDF work, but be careful with non-fillable form workflows: run them in a controlled directory, avoid running as an administrator/root, keep backups of PDFs, and inspect or disable the font-copy/font-cache logic if you do not want the skill changing your local font environment.
Capability Analysis
Type: OpenClaw Skill Name: pdf-nano Version: 1.0.0 The skill bundle provides comprehensive PDF processing capabilities, but includes scripts that perform high-risk system modifications. Specifically, `fill_pdf_form_with_annotations.py` contains logic to identify and write to system font directories (including `/usr/share/fonts` and `~/.local/share/fonts`) and executes the system utility `fc-cache` via `subprocess.run`. While these actions are documented in `forms.md` as 'environment-maintenance' for consistent text rendering, the automated copying of workspace assets into system paths and the execution of system binaries constitute a significant attack surface for environment manipulation.
Capability Assessment
Purpose & Capability
The documented PDF reading, extraction, merging, splitting, rendering, and form-filling behavior is coherent with the stated PDF-processing purpose.
Instruction Scope
The form workflow instructs the agent to run included local scripts and create JSON, image, and PDF outputs; this is purpose-aligned but users should review paths and outputs.
Install Mechanism
Although there is no declared install step, the annotation form-filling script performs install-like behavior by copying font files from local asset directories into persistent font directories.
Credentials
The annotation helper changes local font state and can run font-cache tooling, which is broader than simply reading or writing the requested PDF.
Persistence & Privilege
Font files, font directories, and refreshed font caches may remain after the PDF task and can affect the user or system environment beyond this skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pdf-nano
  3. After installation, invoke the skill by name or use /pdf-nano
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
pdf-nano 1.0.0 – Initial Release - Introduces a comprehensive PDF skill for reading, extracting, creating, and modifying PDFs using Python and command-line tools. - Supports merging/splitting PDFs, rotating pages, extracting text, tables, and images, watermarking, OCR, encryption, and PDF form filling. - Includes practical code examples using pypdf, pdfplumber, reportlab, and common utilities like pdftotext, qpdf, and pdfimages. - Provides clear recommendations for when to use each tool and references for advanced features or troubleshooting.
Metadata
Slug pdf-nano
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is pdf-nano?

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 multipl... It is an AI Agent Skill for Claude Code / OpenClaw, with 48 downloads so far.

How do I install pdf-nano?

Run "/install pdf-nano" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is pdf-nano free?

Yes, pdf-nano is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does pdf-nano support?

pdf-nano is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created pdf-nano?

It is built and maintained by climbkim (@climbkim); the current version is v1.0.0.

💬 Comments