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huggingface-papers

Retrieves structured metadata and research info from Hugging Face paper pages and arXiv references.

Updated May 5, 2026
Search Tags:#machine learning#metadata#ai research#arxiv#papers#huggingface
One-click install
npx skills add https://github.com/yanochka11/harness_bro --skill huggingface-papers-yanochka11
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-papers
Source: https://github.com/yanochka11/harness_bro/tree/main/.claude/skills/ported/huggingface-papers
Command: npx skills add https://github.com/yanochka11/harness_bro --skill huggingface-papers-yanochka11

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users quickly retrieve structured information from Hugging Face paper pages and arXiv references instead of manually searching for authors, summaries, linked resources, and research metadata.

Core Features & Use Cases

  • Paper Metadata Retrieval: Fetch paper details including authors, summaries, linked models, datasets, Spaces, GitHub repositories, and project pages.
  • Research Paper Analysis Support: Handle Hugging Face paper URLs, arXiv IDs, and requests to summarize or explain AI research papers.
  • Use Case: A researcher can provide an arXiv paper link and use this Skill to gather metadata, related Hugging Face resources, and supporting project information for analysis.

Quick Start

Use the huggingface-papers skill to summarize the AI research paper from this Hugging Face paper page URL.

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 and summaries from Hugging Face papers?▼

This Skill retrieves structured Hugging Face paper metadata and summaries, extracting authors, linked models, datasets, Spaces, and GitHub repositories directly from paper pages and arXiv references without manual searching.

Can I use an arXiv ID to find linked models and datasets on Hugging Face?▼

Yes, you can use an arXiv ID to find linked models and datasets. The Skill processes arXiv references to fetch related Hugging Face resources, Spaces, and project pages for comprehensive research analysis.

What is the best way to gather AI research paper information for analysis?▼

The best way to gather AI research paper information is using this Skill to fetch structured research data. It collects paper details, linked resources, and project links from Hugging Face and arXiv to support research workflows.

Does retrieving Hugging Face paper details require access to specific APIs?▼

Retrieving Hugging Face paper details requires access to Hugging Face paper APIs and markdown endpoints. This access is necessary for extracting research metadata, related resources, and project links during analysis.

What linked resources can I retrieve when analyzing arXiv papers through Hugging Face?▼

When analyzing arXiv papers through Hugging Face, you can retrieve linked models, datasets, Spaces, GitHub repositories, and project pages. This Skill extracts these resources to support comprehensive AI research workflows.

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