Summarize academic papers from Hugging Face or arXiv
hugging-face-papersskillsetup L1★0
Sheshiyer/skill-clusters ↗What it does
Read, summarize, and extract metadata from Hugging Face or arXiv research papers
Best for
When analyzing or summarizing AI research papers with automatic metadata extraction and linking to related Hub artifacts.
Inputs
- · HF paper page URL
- · arXiv URL or ID
Outputs
- · paper content as markdown
- · structured metadata (authors, linked models/datasets)
- · summary
Requires
- · Hugging Face papers API
- · arXiv
Preconditions
Paper published on arXiv, optional: HF paper page indexed
Failure modes
- · arXiv HTML version missing causing incomplete markdown
- · paper not indexed on HF yet
- · linked models/datasets metadata stale
Trust signals
- · Paper ID parsing from multiple URL formats
- · markdown fetch from HF paper pages
- · API for structured metadata (authors, models, datasets, repos)