huggingface-paper-publisher

To index and publish a research paper on Hugging Face Hub from arXiv, you use this Skill to fetch arXiv data, generate markdown-based articles, and manage metadata. It requires a valid HF_TOKEN and dependencies like huggingface_hub.

Yes, you can link your published paper to models, datasets, and spaces on Hugging Face. The Skill attaches papers to these artifacts using metadata and citations, ensuring proper association and visibility across the Hub.

Claiming authorship of a paper on your Hugging Face profile involves indexing the paper from arXiv and managing its metadata. The Skill handles this process and controls the paper's visibility directly on your profile.

Yes, you need an environment setup to generate markdown research articles from templates. You must configure a valid HF_TOKEN and install dependencies including huggingface_hub, pyyaml, requests, and python-dotenv to execute the workflow.

YAML frontmatter helps manage metadata and versioning for research articles by structuring citation data and tracking revisions. The Skill uses this format to ensure consistent formatting and version control for papers published to the Hub.

Limitations when using huggingface_hub to attach papers to repositories include dependency on valid arXiv data availability and proper HF_TOKEN authentication. The Skill requires all specified dependencies to execute end-to-end workflows successfully.