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データ・研究 · SKILL.md

hugging-face-paper-publisher

hugging-face-paper-publisher

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.

Independent GitHub snapshot · Automated classification · Original documentation governs

スキルの説明

GitHub

name: hugging-face-paper-publisher description: 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. risk: critical source: https://github.com/huggingface/skills/tree/main/skills/huggingface-paper-publisher source_repo: huggingface/skills source_type: official date_added: 2026-07-01 license: Apache-2.0 license_source: https://github.com/huggingface/skills/blob/main/LICENSE

Overview

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.
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