hugging-face-paper-publisher

Index, link, and publish arXiv papers on Hugging Face Hub.

4|Updated Jan 12, 2026

Ready to run

npx skills add https://github.com/Bennoo/classification_experience --skill hugging-face-paper-publisher-bennoo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hugging-face-paper-publisher
Source: https://github.com/Bennoo/classification_experience/tree/main/.claude/skills/hugging-face-paper-publisher
Command: npx skills add https://github.com/Bennoo/classification_experience --skill hugging-face-paper-publisher-bennoo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires huggingface_hub, pyyaml, requests, python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables researchers and engineers to publish and manage research papers on the Hugging Face Hub, including creating paper pages, linking papers to models and datasets, claiming authorship, and generating Markdown-based research articles.

Core Features & Use Cases

Paper Page Management: index papers from arXiv, claim authorship, and control visibility.
Link Papers to Artifacts: attach arXiv papers to model/dataset cards via YAML frontmatter.
Research Article Creation: generate and format professional Markdown articles from templates.
Metadata Synchronization: keep citations and references in sync across repos.

Quick Start

To publish a new paper, create a Markdown article using one of the templates, index it on arXiv, then link to your Hugging Face models or datasets with the provided script.

Frequently Asked Questions about hugging-face-paper-publisher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I publish arXiv papers on Hugging Face Hub?▼

To publish arXiv papers on Hugging Face Hub, you use Python-based tooling to index papers, claim authorship, and generate Markdown articles. This automates creating paper pages and synchronizing metadata across your repositories.

How do I link arXiv papers to Hugging Face models and datasets?▼

You link arXiv papers to Hugging Face models and datasets by attaching them to model or dataset cards via YAML frontmatter. This keeps citations and references synchronized across your Hub repositories.

Can I generate Markdown research articles from templates for Hugging Face?▼

Yes, you can generate and format professional Markdown research articles from multiple templates. This allows researchers to create structured articles before indexing them on arXiv and linking to Hub artifacts.

Does this paper publishing workflow require huggingface_hub and pyyaml?▼

Yes, the paper publishing workflow requires huggingface_hub, pyyaml, requests, and python-dotenv. These dependencies support YAML frontmatter parsing, API requests, and Python-based metadata synchronization across Hub repositories.

What is the best way to keep paper metadata synchronized across Hugging Face repos?▼

The best way to keep paper metadata synchronized across Hugging Face repos is using automated Python tooling to update YAML frontmatter. This maintains consistent citations and references across linked models, datasets, and spaces.