AG
Data & Repro
agent-browser
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Data & Repro
PD
Maintainer K-Dense Inc. · Last updated March 31, 2026
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.
Original source
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/pdf
- Maintainer
- K-Dense Inc.
- License
- Proprietary. LICENSE.txt has complete terms
- Last updated
- March 31, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- 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.
- reader = PdfReader("document.pdf") print(f"Pages: {len(reader.pages)}").
Source Doc
Excerpt From SKILL.md
Quick Start
from pypdf import PdfReader, PdfWriter
## Extract text
text = ""
for page in reader.pages:
text += page.extract_text()
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)
Use cases
- Use pdf for data analysis, visual communication, and result presentation workflows.
- Apply pdf when research outputs need charts, diagrams, document processing, or exploratory analysis.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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