huggingface-papers

Fetch markdown content and structured metadata from Hugging Face research papers.

Updated Jun 15, 2026
One-click install
npx skills add https://github.com/Andrew-Girgis/token-holdem --skill huggingface-papers-andrew-girgis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-papers
Source: https://github.com/Andrew-Girgis/token-holdem/tree/main/.agents/skills/huggingface-papers
Command: npx skills add https://github.com/Andrew-Girgis/token-holdem --skill huggingface-papers-andrew-girgis

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of accessing and interacting with Hugging Face research papers, enabling users to easily lookup, read, and analyze AI research papers.

Core Features & Use Cases

  • Paper Lookup: Search and access Hugging Face paper pages using paper URLs, arXiv URLs, or IDs.
  • Markdown Extraction: Fetch the content of papers as markdown for easy readability.
  • Structured Metadata: Retrieve structured metadata such as authors, linked models/datasets/spaces, and project pages.
  • Use Case: A user can share a Hugging Face paper page URL and the Skill will provide the markdown content and structured metadata, allowing for easy summary, explanation, or analysis.

Quick Start

Search for the paper titled 'The Transformer' by providing the paper URL 'https://huggingface.co/papers/1706.03762'.

Frequently Asked Questions about huggingface-papers

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

FAQPage Schema
How do I fetch markdown content from a Hugging Face paper page?

Retrieve markdown content from a Hugging Face paper page by providing the paper URL, arXiv URL, or ID. The Skill fetches the markdown text and structured metadata for quick readability and analysis.

How do I extract structured metadata from AI research papers on Hugging Face?

Extract structured metadata from AI research papers by processing a Hugging Face paper URL. The Skill retrieves linked authors, models, datasets, spaces, and project pages using the Hugging Face Papers API.

What is the best way to analyze arXiv papers hosted on Hugging Face?

Analyze arXiv papers hosted on Hugging Face by passing the arXiv URL to this Skill. It returns the paper's markdown content and structured metadata, enabling immediate summarization and analysis.

Can I use a paper ID to lookup AI research papers on Hugging Face?

Yes, you can use a paper ID to lookup AI research papers on Hugging Face. The Skill accepts paper IDs, Hugging Face URLs, or arXiv URLs to fetch the corresponding markdown content and metadata.

Does this Hugging Face papers lookup tool require external dependencies?

The Hugging Face papers lookup tool requires the Python requests dependency to function. It uses requests to interact with the Hugging Face Papers API and fetch markdown content and structured metadata.