huggingface-hub

Search, download, upload, and sync models and datasets on the Hugging Face Hub.

3|1|Updated May 19, 2026
One-click install
npx skills add https://github.com/Quill-Agent/Quill-Agent --skill huggingface-hub-quill-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/Quill-Agent/Quill-Agent/tree/main/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/Quill-Agent/Quill-Agent --skill huggingface-hub-quill-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the process of interacting with the Hugging Face Hub, allowing users to search, download, upload, and manage models and datasets efficiently.

Core Features & Use Cases

  • Model and Dataset Management: Perform operations like searching, downloading, uploading, and syncing models and datasets.
  • Authentication: Manage sessions and access tokens for secure access.
  • Repository Management: Create, delete, duplicate, and manage repositories.
  • Use Case: Quickly download a specific model or dataset from the Hub without navigating through the web interface.

Quick Start

Download the 'gpt-3.5-turbo' model using the huggingface-hub skill.

Frequently Asked Questions about huggingface-hub

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

FAQPage Schema
How do I download models and datasets from the Hugging Face Hub?

To download models and datasets from the Hugging Face Hub, you can use this skill to search for specific repositories and pull files directly into your workflow. It handles repository access and file transfers automatically.

Can I upload and sync models to Hugging Face Hub repositories automatically?

Yes, you can upload and sync models to Hugging Face Hub repositories automatically. The skill manages repository creation, file uploads, and synchronization to keep your Hub repositories updated without manual web interface interaction.

Do I need authentication tokens to manage Hugging Face Hub datasets and models?

Yes, authentication tokens are required to manage Hugging Face Hub datasets and models. The skill manages sessions and access tokens to ensure secure access when searching, downloading, uploading, or syncing your repositories.

What is the best way to automate Hugging Face Hub repository management?

The best way to automate Hugging Face Hub repository management is using a skill that supports creating, deleting, duplicating, and syncing repositories. This approach programmatically handles routine MLOps tasks without manual navigation.

Does this skill support searching for specific MLOps datasets on the Hugging Face Hub?

Yes, this skill supports searching for specific MLOps datasets on the Hugging Face Hub. You can query the Hub to find relevant models and datasets efficiently before downloading or syncing them into your environment.

What are the limitations of automating Hugging Face Hub interactions?

Limitations of automating Hugging Face Hub interactions include dependency on valid authentication tokens for secure access. While it handles searching, downloading, uploading, and syncing, complex repository configurations may still require manual oversight.