huggingface-hub

Manage Hugging Face Hub repositories via the hf CLI.

Updated May 15, 2026
One-click install
npx skills add https://github.com/cabezno/bmb-encover-agent --skill huggingface-hub-cabezno
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/cabezno/bmb-encover-agent/tree/main/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/cabezno/bmb-encover-agent --skill huggingface-hub-cabezno

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly search, download, upload, and manage Hugging Face Hub artifacts so you can spend less time on manual repository handling and more time on building.

Core Features & Use Cases

  • Model and dataset management: Find models/datasets, view info, and download or sync repository contents for reproducible experimentation.
  • CLI-based Hub workflows: Upload single commits or large folders, manage auth sessions, and organize artifacts via repositories, branches, tags, and collections.
  • Hub automation for teams and pipelines: Create and manage Endpoints, Jobs, Spaces, and webhooks to operationalize ML work across environments.

Quick Start

Ask the agent to show you how to download a Hugging Face model repository into your local folder using the hf CLI.

Frequently Asked Questions about huggingface-hub

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

FAQPage Schema
How do I download a Hugging Face model repository using the hf CLI?

The Skill manages Hugging Face Hub repositories by applying the hf CLI to search, download, and synchronize models or datasets. It automates repository handling for reproducible experimentation without manual intervention.

Can I automate Hugging Face Hub workflows for MLOps pipelines?

Yes, you can automate Hugging Face Hub workflows by creating and managing Endpoints, Jobs, Spaces, and webhooks. This operationalizes ML work across environments and stages artifacts for training or inference deployment.

Does the hf CLI support uploading large folders to Hugging Face Hub?

Yes, the hf CLI supports uploading single commits or large folders to Hugging Face Hub repositories. You can manage authentication sessions and organize artifacts via branches, tags, and collections.

How do I manage authentication and caching for Hugging Face datasets?

You manage Hugging Face datasets by using the hf CLI to handle authentication sessions and perform dataset SQL access. The Skill also satisfies required CLI interactions for caching, pruning, and verifying downloaded artifacts.

What is the best way to organize Hugging Face Spaces and Jobs for team environments?

The best way to organize Hugging Face Spaces and Jobs is by using Hub automation to manage compute operations and repository branches. This enables teams to synchronize artifacts and operationalize ML work across different environments.