Hugging Face Paper Publisher FAQs

Question 1

How does this skill help with model and dataset documentation?

Accepted Answer

The skill automates the linking process by updating YAML metadata in model or dataset cards. By adding arXiv IDs, it ensures your research is discoverable, properly cited, and appears on the corresponding Hugging Face Paper Pages.

Question 2

What formatting options are available for research articles?

Accepted Answer

The skill provides several professional markdown templates, including 'standard' scientific structures, 'modern' web-friendly layouts (inspired by Distill), arXiv-style formatting, and specialized machine learning experiment reports.

Question 3

Can I use this skill to claim authorship of my papers?

Accepted Answer

Yes, the skill includes specific commands to initiate the authorship verification process. It allows you to claim papers on the Hugging Face Hub using your institutional email and manage which verified papers are visible on your public profile.

Question 4

What is the Hugging Face Paper Publisher skill?

Accepted Answer

It is a specialized Claude Code capability designed to automate the management and publication of research papers on the Hugging Face Hub. It simplifies tasks like indexing arXiv papers, managing authorship, and linking research to specific models and datasets.

Question 5

How does this skill improve the AI research workflow?

Accepted Answer

It bridges the gap between development and publication by automating repetitive metadata tasks. Instead of manual YAML editing, researchers can use Claude Code to ensure their models, datasets, and papers are perfectly synchronized across the HF ecosystem.

Hugging Face Paper Publisher

Hugging Face Paper Publisher

Key Features

Use Cases

Key Features

Use Cases