skills.rest
davpatel605-beep
davpatel605-beepCOMMUNITY
Explore all skills by this author →
GitHub

huggingface-hub

Manage Hugging Face Hub models, datasets, and repositories via hf CLI.

Updated Jun 25, 2026
Search Tags:#models#mlops#repository management#datasets#huggingface#hf cli
One-click install
npx skills add https://github.com/davpatel605-beep/hermusagent --skill huggingface-hub-davpatel605-beep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/davpatel605-beep/hermusagent/tree/main/backend/vendor/hermes/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/davpatel605-beep/hermusagent --skill huggingface-hub-davpatel605-beep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies interaction with the Hugging Face Hub by providing guidance for managing models, datasets, repositories, and related machine learning resources through the hf CLI.

Core Features & Use Cases

  • Hub Resource Management: Search, download, upload, and organize Hugging Face models, datasets, Spaces, and repositories.
  • ML Workflow Operations: Manage authentication, discussions, deployments, jobs, storage, caches, and automation features from the command line.
  • Use Case: A machine learning engineer can use this Skill to upload a trained model, inspect available datasets, and manage Hub resources as part of an MLOps workflow.

Quick Start

Use the huggingface-hub skill to help me manage my Hugging Face Hub resources and perform CLI operations for my model repository.

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 resources from the command line?▼

It supports machine learning workflows by enabling command-line resource discovery, transfers, authentication, deployments, and automation tasks for Hub resources. This simplifies integrating Hub management into your MLOps pipeline.

Can I automate Hugging Face model and dataset uploads using the hf CLI?▼

The Skill covers authentication and storage management to ensure your automated transfers and uploads to the Hugging Face Hub are reliable and properly configured.

Do I need prior hf CLI knowledge to manage Hugging Face repositories with this Skill?▼

Understanding command-line operations is required because the Skill focuses on guiding interactions rather than providing a graphical interface for managing your models and datasets.

What is the best way to handle Hugging Face Hub authentication for MLOps integrations?▼

By using the hf CLI for authentication, you ensure that your automated repository management, model uploads, and dataset transfers remain secure and reliable across your MLOps environments.

Does this Skill support searching and inspecting available Hugging Face datasets?▼

You can use the command-line operations to explore available machine learning resources, enabling efficient discovery and integration of datasets into your repositories and workflows.

Related Skills

Explore More Software Engineering Skills→
huggingfacehuggingface
10.9k

hf-mcp

Search and retrieve Hugging Face Hub models, datasets, and Spaces via MCP server.

Official
Advanced
Lord1EgyptLord1Egypt
2

deepchem

Train graph neural networks for molecular property prediction on chemical datasets.

Community
Advanced
alohaysalohays
5

deploy

Render and deploy LaTeX and Quarto slides to GitHub Pages via CI/CD pipelines.

Community
Intermediate
bailynlovebailynlove
1

huggingface-hub

Manage Hugging Face Hub models, datasets, repositories, and Spaces via CLI commands.

Community
Intermediate