Individual skill
arxiv-paper-processor
Process and analyze arXiv papers systematically for research workflows
skills/literature/search/arxiv-paper-processor/SKILL.md
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# arXiv Paper Processor
## Overview
The arXiv Paper Processor skill provides a complete pipeline for downloading, parsing, and analyzing arXiv papers programmatically. While the arXiv API provides metadata, researchers often need to work with the full text—extracting sections, equations, figures, and references for deeper analysis.
This skill covers the entire processing chain: retrieving papers by ID or search query, downloading PDF and LaTeX source files, extracting structured content, and producing analysis-ready outputs. It is particularly valuable for researchers conducting large-scale literature analysis, building training datasets from academic text, or automating evidence extraction for systematic reviews.
The pipeline handles common challenges in academic PDF processing including multi-column layouts, mathematical notation, table extraction, and reference parsing. It integrates with tools like GROBID for PDF parsing and can work directly with arXiv LaTeX sources for higher-fidelity extraction.
## Paper Retrieval and Download
### Fetching by arXiv ID
