
Iyeque Pdf Reader
- 9 installs
- 849 repo stars
- Updated August 1, 2026
- wentorai/research-claw
Helps with ai & agent building tasks during AI-assisted development.
About
iyeque-pdf-reader is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- iyeque-pdf-reader
- AI & Agent Building
- AI-coding skill
Iyeque Pdf Reader by the numbers
- 9 all-time installs (skills.sh)
- Ranked #12,133 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 3, 2026 (Skillselion catalog sync)
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| Installs | 9 |
|---|---|
| repo stars | ★ 849 |
| Last updated | August 1, 2026 |
| Repository | wentorai/research-claw ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
PDF Reader (Iyeque)
PDF reader skill for text extraction and metadata retrieval using PyMuPDF.
---
Installation
pip install pymupdf---
Tool API
The skill provides two commands:
1. extract — Extract Text
Extracts plain text from the specified PDF file.
Parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
file_path | string | ✅ | Path to the PDF file |
--max_pages | integer | ❌ | Maximum number of pages to extract |
Usage:
# Extract all text
python3 skills/pdf-reader/reader.py extract /path/to/document.pdf
# Extract first 5 pages only
python3 skills/pdf-reader/reader.py extract /path/to/document.pdf --max_pages 5Output: Plain text content from the PDF.
---
2. metadata — Get Document Info
Retrieve metadata about the document.
Parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
file_path | string | ✅ | Path to the PDF file |
Usage:
python3 skills/pdf-reader/reader.py metadata /path/to/document.pdfOutput: Structured JSON with document metadata.
---
Metadata Fields
| Field | Description |
|---|---|
title | Document title |
author | Document author |
subject | Document subject |
creator | Software that created the PDF |
producer | PDF producer software |
creationDate | Creation date |
modDate | Modification date |
format | PDF format version |
encryption | Encryption info (if any) |
---
Example Output
Extract Output
Plain text content from the PDF...Metadata Output
{
"title": "Annual Report 2024",
"author": "John Doe",
"creationDate": "D:20240115120000Z",
"creator": "Microsoft Word",
"producer": "Adobe PDF Library",
"format": "PDF 1.7"
}---
Features
- Fast extraction using PyMuPDF (fitz)
- Metadata retrieval including creation/modification dates
- Page limiting with
--max_pagesfor large documents - Encrypted PDF support (password required if applicable)
- Error handling for corrupted or malformed PDFs
---
When to Use This Skill
- Extract text content from PDF files
- Get document metadata (title, author, dates)
- Process multiple PDFs for analysis
- Quick PDF content preview
- Academic paper text extraction
---
Python API Alternative
You can also use PyMuPDF directly in Python:
import fitz # PyMuPDF
# Open PDF
doc = fitz.open("document.pdf")
# Get metadata
print(doc.metadata)
# Extract text from all pages
for page in doc:
text = page.get_text()
print(text)
# Extract from specific page
page = doc[0] # First page (0-indexed)
text = page.get_text()---
Notes
- Uses PyMuPDF (imported as
fitz) for fast, reliable PDF processing - Supports encrypted PDFs (will modify if password required)
- Handles large PDFs efficiently with
--max_pagesoption - Returns error message if file not found or invalid PDF
---
Error Handling
| Error | Cause | Solution |
|---|---|---|
| File not found | Invalid path | Check file path |
| Not a valid PDF | Corrupted file | Verify file integrity |
| Encrypted PDF | Password protected | Provide password if required |