Agent skill

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.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill hugging-face-paper-publisher --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 17 KB
Bundled scripts: yes
Path: skills/hugging-face-paper-publisher/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Overview ## 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. ## 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 ##

What's inside
Steps it walks through
  1. When to Use
  2. Integration with HF Ecosystem
  3. 1. Paper Page Management
  4. 2. Link Papers to Artifacts
  5. 3. Research Article Creation
  6. 4. Metadata Management
  7. Prerequisites
  8. Method 1: Index Paper from arXiv
  9. Method 2: Link Paper to Model/Dataset
  10. Method 3: Claim Authorship
  11. Method 4: Manage Paper Visibility
  12. Method 5: Create Research Article
  13. Paper Template Structure
  14. Commands Reference
Ships with 7 files
  • examples/example_usage.md
  • references/quick_reference.md
  • scripts/paper_manager.py
  • templates/arxiv.md
  • templates/ml-report.md
  • templates/modern.md
  • templates/standard.md
Commands it runs
uv run scripts/paper_manager.py index \
uv run scripts/paper_manager.py check \
uv run scripts/paper_manager.py link \
uv run scripts/paper_manager.py claim \
uv run scripts/paper_manager.py check-authorship \
uv run scripts/paper_manager.py list-my-papers
uv run scripts/paper_manager.py toggle-visibility \
uv run scripts/paper_manager.py create \
uv run scripts/paper_manager.py convert \
uv run scripts/paper_manager.py index --arxiv-id "2301.12345"
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About this skill
What does the hugging-face-paper-publisher skill do?

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.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill hugging-face-paper-publisher --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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