Huggingface Papers
Skill Verified ActiveLook 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.
To provide users with a reliable way to access and analyze AI research papers hosted on Hugging Face by fetching both formatted content and structured metadata.
Features
- Fetch Hugging Face paper pages as markdown
- Retrieve structured metadata via Hugging Face Papers API
- Parse various paper URL and ID formats (HF, arXiv)
- Identify linked models, datasets, and GitHub repositories
Use Cases
- Summarizing AI research papers shared via URL
- Explaining AI research papers from arXiv
- Analyzing the metadata of Hugging Face hosted AI papers
- Finding linked models and datasets for a given paper
Non-Goals
- Analyzing papers not hosted on Hugging Face or arXiv
- Providing direct access to the full text of papers not available via the API
- Modifying or indexing papers on Hugging Face Hub
Installation
/plugin install skills@huggingface-skillsQuality Score
VerifiedTrust Signals
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