oma-pdf

Convert PDF files into structured Markdown with text, tables, headings, and images.

5|3|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/ddarkr/antigravity-token-monitor --skill oma-pdf-ddarkr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oma-pdf
Source: https://github.com/ddarkr/antigravity-token-monitor/tree/main/.agents/skills/oma-pdf
Command: npx skills add https://github.com/ddarkr/antigravity-token-monitor --skill oma-pdf-ddarkr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opendataloader-pdf, opendataloader-pdf-hybrid, mdformat, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of transforming PDF documents into readable, well-structured Markdown files, enabling easier content review and AI data preparation.

Core Features & Use Cases

  • PDF to Markdown Conversion: Extracts text, headings, lists, tables, and images from PDFs while maintaining document structure.
  • Document Extraction & Formatting: Prepares PDF content for tasks like indexing, summarization, or data analysis.
  • Use Case: Convert lengthy research papers or reports into Markdown for easier annotation and review in an AI assistant.

Quick Start

Use the oma-pdf skill to convert the document 'report.pdf' into a Markdown file suitable for AI review.

Frequently Asked Questions about oma-pdf

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

FAQPage Schema
How do I convert PDF to Markdown for AI consumption and document processing?

To convert PDF to Markdown, this Skill transforms files into structured Markdown by extracting text, headings, lists, tables, and images. It prepares content for AI data preparation and downstream document processing.

Can I extract tables and images from PDF files into Markdown format?

Yes, you can extract tables and images from PDF files into Markdown format. The conversion process maintains document structure, pulling tables, images, text, and headings to ensure output readability.

What is the best way to prepare lengthy research papers for AI summarization?

Preparing research papers for AI summarization is best done by converting the PDF into structured Markdown. This formats the text, tables, and headings for indexing and content analysis, facilitating easier annotation.

Does oma-pdf support processing lengthy reports for content indexing?

Yes, oma-pdf supports processing lengthy reports for content indexing. It utilizes pdf parsing libraries to extract text and structural elements, outputting formatted Markdown files suitable for content indexing tasks.

What are the limitations of PDF text extraction when converting documents?

The limitations of PDF text extraction depend on the pdf parsing libraries used. While it extracts text, headings, lists, tables, and images, heavily image-based or non-standard PDFs may face structural formatting constraints during Markdown conversion.