About hugging-face-paper-publisher
A skill for AI engineers and researchers publishing and managing research papers on Hugging Face Hub. It supports paper-page creation, links to models and datasets, authorship claims, and Markdown article preparation.
Key features
- 01Create paper pages on Hugging Face Hub
- 02Link papers with models and datasets
- 03Manage authorship claims
- 04Prepare Markdown research articles
- 05Support workflows involving arXiv
Use cases
- 01Publish a research paper page on Hugging Face Hub
- 02Connect a paper to related models or datasets
- 03Claim authorship of a paper
- 04Prepare a Markdown research article
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/hugging-face-paper-publisherin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
examples/example_usage.mdreferences/detailed-guide.mdquick_reference.mdscripts/paper_manager.pytemplates/arxiv.mdml-report.mdmodern.mdstandard.mdDetails
From the project READMEOverview
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use
Use this skill when you need publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
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.
Limitations
- Use this skill only when the task clearly matches its upstream product or API scope.
- Verify commands, API behavior, pricing, quotas, credentials, and deployment effects against current official documentation before making changes.
- Do not treat generated examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.