Technical & DevelopmentIntermediate
hugging-face-paper-publisher
Publish papers on HF Hub with model/dataset links
Developer Setup
Setup & Installation
bash
npx skills add https://github.com/huggingface/skills --skill hugging-face-paper-publishernpx skills add https://github.com/huggingface/skills --skill hugging-face-paper-publisherOr paste this URL into your assistant to install:
Overview
What This Skill Does
Publishes and manages research papers on the Hugging Face Hub. Handles indexing papers from arXiv, linking them to models and datasets, claiming authorship, and generating markdown-based research article templates.
Application
When to use this Skill
- Configuring integration settings for custom agent workflows.
- Optimizing query execution and response latency in production.
- Developing clean, standard-compliant implementations for enterprise services.
- Troubleshooting connection timeouts and authentication handshakes.
- Monitoring API rate limits and execution pipelines programmatically.
Documentation
Show Skills.md file
Overview
This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers on the Hugging Face Hub. It streamlines the workflow from paper creation to publication, including integration with arXiv, model/dataset linking, and authorship management.
Integration with HF Ecosystem
- Paper Pages: Index and discover papers on Hugging Face Hub
- arXiv Integration: Automatic paper indexing from arXiv IDs
- Model/Dataset Linking: Connect papers to relevant artifacts through metadata
- Authorship Verification: Claim and verify paper authorship
- Research Article Template: Generate professional, modern scientific papers
Version
1.0.0
Dependencies
The included script uses PEP 723 inline dependencies. Prefer uv run over
manual environment setup.
- huggingface_hub>=0.26.0
- pyyaml>=6.0.3
- requests>=2.32.5
- markdown>=3.5.0
- python-dotenv>=1.2.1
Core Capabilities
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