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huggingface-papers

Fetch Hugging Face paper pages as Markdown and return structured metadata via the Papers API.

Updated Aug 23, 2026
Search Tags:#api#metadata#summarize#arxiv#papers#huggingface
One-click install
npx skills add https://github.com/domattioli/DomI --skill huggingface-papers-domattioli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-papers
Source: https://github.com/domattioli/DomI/tree/main/plugins/huggingface-skills/skills/huggingface-papers
Command: npx skills add https://github.com/domattioli/DomI --skill huggingface-papers-domattioli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Look up and read Hugging Face Paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, GitHub repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze, an AI research paper.

Core Features & Use Cases

  • Retrieve the markdown representation of Hugging Face paper pages
  • Return structured metadata via the Hugging Face Papers API (authors, linked models/datasets/spaces, project page, GitHub repo)
  • Resolve input URLs/IDs from Hugging Face or arXiv and provide on-demand summaries, explanations, or analyses

Quick Start

Ask me to fetch a Hugging Face paper page as markdown and return its structured metadata

Frequently Asked Questions about huggingface-papers

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

FAQPage Schema
How do I extract metadata from a Hugging Face paper page?▼

You can fetch an arXiv paper's metadata by providing its URL or ID. The tool resolves the identifier, retrieves the markdown representation, and returns structured JSON containing authors, linked models, datasets, and GitHub repositories.

What is the best way to summarize an AI research paper using Hugging Face?▼

Summarizing an AI research paper is done by sharing the Hugging Face or arXiv URL. The tool fetches the markdown content and applies on-demand summarization, explanation, or analysis to provide reliable, machine-readable output.

Can I get structured JSON output from an arXiv paper link?▼

Yes, you can get structured JSON output from an arXiv paper link. The tool resolves the input URL or ID, fetches the markdown render, and exposes structured metadata like authors, linked models, datasets, and project pages.

Does the Hugging Face Papers API return linked models and datasets?▼

The Hugging Face Papers API does return linked models, datasets, and spaces. When you fetch a paper page, the tool extracts structured metadata via the API, including authors, GitHub repos, and project pages.

How to analyze an AI research paper with markdown and structured data?▼

To analyze an AI research paper with markdown and structured data, provide the Hugging Face paper URL. The tool fetches the markdown representation and returns both the rendered markdown and structured JSON metadata for analysis.

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