huggingface

Search and cite models, datasets, and papers from the Hugging Face Hub.

20|25|Updated May 30, 2026
One-click install
npx skills add https://github.com/OpenCoven/coven-cave --skill huggingface-opencoven
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface
Source: https://github.com/OpenCoven/coven-cave/tree/main/marketplace/plugins/huggingface/skills/huggingface
Command: npx skills add https://github.com/OpenCoven/coven-cave --skill huggingface-opencoven

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of finding and citing models, datasets, and papers from the Hugging Face Hub, enhancing productivity and accuracy in research and development.

Core Features & Use Cases

  • Model Search: Quickly locate models suitable for specific tasks.
  • Dataset Lookup: Access detailed information about datasets.
  • Paper Reference: Find and reference the academic papers behind models.
  • Use Case: When you need to find a pre-trained model for text classification, this Skill can help you identify the best model and its associated dataset and paper.

Quick Start

Search for a text classification model on the Hugging Face Hub using the huggingface skill.

Frequently Asked Questions about huggingface

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

FAQPage Schema
How do I search for pre-trained models on the Hugging Face Hub?

To search for pre-trained models on the Hugging Face Hub, use this Skill to query the Hub database and quickly locate models suitable for specific tasks like text classification. It requires access to the Hugging Face API to return matching results.

Can I find and reference academic papers behind AI models?

Yes, you can find and reference academic papers behind AI models. The Skill facilitates searching the Hugging Face Hub to connect models with their foundational paper references, streamlining research and development citations.

What is the best way to look up datasets for AI research?

The best way to look up datasets for AI research is querying the Hugging Face Hub database. This Skill provides detailed information about available datasets, helping you identify the correct data components for your development projects.

Do I need Hugging Face API access to search Hub resources?

Yes, you need Hugging Face API access to search Hub resources. The Skill explicitly requires API and Hub database connectivity to facilitate finding and citing models, datasets, and papers.

How do I cite Hugging Face datasets and models for my project?

To cite Hugging Face datasets and models, use this Skill to retrieve the associated paper references and dataset details from the Hub. It streamlines gathering the necessary citation metadata to enhance accuracy in research.