huggingface-papers
OfficialLook up Hugging Face papers in markdown.
AuthorLAF-US
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Hugging Face paper pages are distributed across multiple sources (hf.co/papers and arXiv), and this skill provides a unified way to access, read, and extract structured metadata including authors, linked models/datasets/spaces, and project links for research workflows.
Core Features & Use Cases
- Retrieve the markdown content of Hugging Face Paper pages and surface structured metadata via the Papers API.
- Resolve paper URLs or arXiv IDs to a data payload suitable for notes, dashboards, or model/space references.
- Use for summarizing, explaining, or analyzing AI research papers and connecting papers to related artifacts.
Quick Start
Enter a Hugging Face paper URL or arXiv ID to fetch its metadata and display authors, affiliations, and linked resources.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: huggingface-papers Download link: https://github.com/LAF-US/IDAHO-VAULT/archive/main.zip#huggingface-papers Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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