huggingface-hub

Manage Hugging Face Hub repositories and infrastructure via the hf CLI.

Updated May 5, 2026

Search Tags:#automation #models #cli #machine learning #datasets #huggingface

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines interactions with the Hugging Face Hub, removing the complexity of manual repository management and infrastructure deployment.

Core Features & Use Cases

Repository Management: Create, delete, and sync models, datasets, and Spaces directly from the command line.
Data & Model Operations: Efficiently download, upload, and query datasets or models, including SQL-based analysis of parquet files.
Infrastructure Control: Manage Inference Endpoints, compute jobs, and webhooks to automate machine learning workflows.

Quick Start

Use the huggingface-hub skill to download the latest version of the specified model repository to your current directory.

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 and infrastructure from the command line?▼

This skill automates Hugging Face Hub repository management by executing authenticated API requests via the hf CLI tool. It enables you to create, delete, and sync models, datasets, and Spaces directly from the command line.

Can I query Hugging Face datasets using SQL?▼

Yes, you can perform SQL-based analysis of parquet files to query Hugging Face datasets. The skill facilitates these data operations directly through authenticated command line requests.

Do I need the hf CLI tool to deploy Hugging Face Inference Endpoints?▼

Yes, deploying Hugging Face Inference Endpoints requires the hf CLI tool. The skill depends on the CLI to execute authenticated API requests for orchestrating compute jobs and infrastructure.

What is the best way to automate machine learning workflows on Hugging Face?▼

Automating machine learning workflows on Hugging Face involves managing webhooks, compute jobs, and Inference Endpoints. This skill orchestrates these infrastructure components to remove manual deployment complexity.

How does model versioning and local cache management work with Hugging Face?▼

Model versioning and local cache management on Hugging Face work by executing authenticated API requests to sync repositories. This skill uses the hf CLI to manage local cache revisions and download specific model versions.