pdf-reader

Extract text from local PDF files into structured Markdown format.

6|1|Updated Jul 1, 2026
One-click install
npx skills add https://github.com/PancrePal-xiaoyibao/VitaForge --skill pdf-reader-pancrepal-xiaoyibao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf-reader
Source: https://github.com/PancrePal-xiaoyibao/VitaForge/tree/main/.gemini/skills/pdf-reader
Command: npx skills add https://github.com/PancrePal-xiaoyibao/VitaForge --skill pdf-reader-pancrepal-xiaoyibao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pdfplumber, and includes scripts (resource) components.

What problem does it solve?

This skill solves the friction of reading and analyzing local PDF documents by automatically converting them into structured Markdown, making them immediately compatible with AI analysis and summarization workflows.

Core Features & Use Cases

  • Text Extraction: Converts text-based PDF content into clean, readable Markdown format.
  • Selective Processing: Supports extracting specific page ranges to save time and token usage.
  • Use Case: When you have a long research paper or a technical report in PDF format, use this skill to generate a Markdown version that you can easily query, summarize, or integrate into your research notes.

Quick Start

Run the pdf-reader script on your local document by providing the file path to extract its contents into a Markdown file.

Frequently Asked Questions about pdf-reader

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a local PDF to Markdown for research analysis?

You can convert a local PDF to Markdown by running the extraction script with your file path, which parses text layers using pdfplumber and outputs a structured Markdown file maintaining page-level segmentation for research analysis.

Can I extract specific pages from a PDF to save tokens?

Yes, selective processing supports extracting specific page ranges from a PDF document to save time and token usage, allowing you to target only the sections needed for literature synthesis or data extraction workflows.

Does pdfplumber work for converting scientific papers to text?

Pdfplumber works for converting scientific papers to text by parsing text layers from PDF documents while maintaining page-level segmentation, making the extracted content immediately compatible with AI analysis and summarization workflows.

What is the best way to prepare a technical report PDF for AI summarization?

The best way to prepare a technical report for AI summarization is converting the PDF into clean, structured Markdown, which eliminates reading friction and makes the text immediately compatible with downstream AI queries and research notes.

Why does my PDF text extraction return unstructured or broken content?

PDF text extraction returns broken content if the document lacks a proper text layer, because this process relies on parsing existing text layers with pdfplumber rather than performing optical character recognition on scanned document images.