huggingface-papers

Retrieve markdown content and structured metadata from Hugging Face paper pages.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/tony-ng-vn/Resume-agent --skill huggingface-papers-tony-ng-vn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-papers
Source: https://github.com/tony-ng-vn/Resume-agent/tree/main/.agents/skills/huggingface-papers
Command: npx skills add https://github.com/tony-ng-vn/Resume-agent --skill huggingface-papers-tony-ng-vn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of accessing, reading, and analyzing AI research papers on the Hugging Face platform.

Core Features & Use Cases

  • Lookup and Read Papers: Retrieve and view markdown-formatted content from Hugging Face paper pages.
  • Use Papers API: Interact with structured metadata like authors, models, datasets, and project pages.
  • Use Case: Quickly summarize, explain, or analyze an AI research paper using the provided URLs or paper IDs.

Quick Start

Look up the Hugging Face paper with ID '2602.08025'.

Frequently Asked Questions about huggingface-papers

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

FAQPage Schema
How do I retrieve Hugging Face papers using an arXiv ID or URL?

To retrieve Hugging Face papers, provide the arXiv URL, ID, or Hugging Face paper URL. The Skill parses the paper ID and interacts with Hugging Face API endpoints to fetch markdown-formatted content and structured metadata.

What metadata can I get from a Hugging Face AI research paper?

Hugging Face paper metadata retrieval provides structured data including authors, associated models, datasets, and project pages. This allows you to quickly access comprehensive details beyond the markdown text content.

Can I get a summary or explanation of an AI research paper from Hugging Face?

Yes, you can request summaries, explanations, or analyses of AI research papers. By providing the paper URL or ID, the Skill retrieves the content and metadata needed to generate the requested breakdown.

Does this tool work with both Hugging Face and arXiv paper links?

Yes, the tool works with both Hugging Face and arXiv paper links. It handles Hugging Face paper URLs, arXiv URLs, and direct arXiv IDs by parsing the identifiers to retrieve the correct paper content.

What is the best way to access structured data for AI research papers?

The best way to access structured data for AI research papers is using the Hugging Face Papers API. It retrieves metadata like authors, models, and datasets, and returns markdown-formatted content for analysis.