huggingface-hub

Name: huggingface-hub
Availability: InStock
Author: yanochka11

Manage Hugging Face Hub repositories and AI assets via hf CLI commands.

Updated May 5, 2026

Search Tags:#machine learning #model management #ai workflows #huggingface #dataset management #hf cli

Ready to run

npx skills add https://github.com/yanochka11/harness_bro --skill huggingface-hub-yanochka11

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/yanochka11/harness_bro/tree/main/.claude/skills/ported/huggingface-hub
Command: npx skills add https://github.com/yanochka11/harness_bro --skill huggingface-hub-yanochka11

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies command-line interaction with the Hugging Face Hub by providing guidance for managing models, datasets, repositories, and related AI assets without needing to memorize complex commands.

Core Features & Use Cases

Hub Repository Management: Create, inspect, move, duplicate, and manage Hugging Face model, dataset, and Space repositories.
AI Asset Operations: Search, download, upload, synchronize, and organize models, datasets, papers, collections, and storage resources.
Use Case: An ML engineer can use this Skill to authenticate with Hugging Face, download a pretrained model, upload training artifacts, or manage deployment-related Hub resources from the terminal.

Quick Start

Use the huggingface-hub skill to help me download a model from Hugging Face Hub and manage the required CLI commands.

Frequently Asked Questions about huggingface-hub

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

FAQPage Schema

How do I manage Hugging Face Hub repositories from the command line?▼

You can manage Hugging Face Hub repositories from the command line using the hf CLI to create, inspect, move, and duplicate model, dataset, and Space repositories. This Skill provides guidance for these operations without requiring you to memorize complex commands.

Can I download a pretrained model and upload training artifacts to Hugging Face using the terminal?▼

Yes, you can download a pretrained model and upload training artifacts to Hugging Face using the terminal. The Skill guides AI asset operations including searching, downloading, uploading, and synchronizing models, datasets, and storage resources via command-line operations.

Do I need to know the hf CLI to manage Hugging Face datasets and models?▼

Yes, you need familiarity with the hf CLI capabilities, as the Skill applies to machine learning scenarios involving model downloads, dataset management, and Hub automation tasks. It simplifies command-line interaction by providing guidance for these AI asset workflows.

What is the best way to automate Hugging Face Hub workflows for machine learning assets?▼

The best way to automate Hugging Face Hub workflows for machine learning assets is using command-line operations for authentication, repository management, and storage synchronization. This approach streamlines collaborative Hub features and compute resource management.

Does this approach work for organizing Hugging Face papers, collections, and storage resources?▼

Yes, this approach works for organizing Hugging Face papers, collections, and storage resources. The Skill supports AI asset operations that allow you to search, download, upload, synchronize, and organize these resources directly from your terminal.