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Andrew-Girgis
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huggingface-spaces

Build, deploy, and maintain Hugging Face Spaces with Gradio, Docker, or Static SDKs.

Updated Jun 15, 2026
Search Tags:#docker#model deployment#gradio#huggingface spaces#inference providers#static sdk
One-click install
npx skills add https://github.com/Andrew-Girgis/token-holdem --skill huggingface-spaces
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-spaces
Source: https://github.com/Andrew-Girgis/token-holdem/tree/main/.agents/skills/huggingface-spaces
Command: npx skills add https://github.com/Andrew-Girgis/token-holdem --skill huggingface-spaces

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users build, deploy, and maintain applications on Hugging Face Spaces, streamlining the process and ensuring a smooth experience.

Core Features & Use Cases

  • Application Creation: Guide users through creating new Spaces using Gradio, Docker, or Static SDKs.
  • Model Deployment: Help users deploy models to Spaces and configure inference providers.
  • Maintenance: Assist with debugging, optimizing, and updating Spaces as needed.
  • Use Case: A user wants to create a Gradio app that hosts a poker AI and needs help deploying it on Hugging Face Spaces. This Skill provides step-by-step instructions and best practices for building and maintaining the Space.

Quick Start

Use the huggingface-spaces skill to create a new Hugging Face Space with Gradio for your poker AI app.

Frequently Asked Questions about huggingface-spaces

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

FAQPage Schema
How do I deploy a model to Hugging Face Spaces using Gradio?▼

Hugging Face Spaces supports deploying models using Gradio, Docker, or Static SDKs. You create a Space, configure inference providers, and follow step-by-step deployment instructions provided by this Skill.

What is the difference between Gradio, Docker, and Static SDKs for Hugging Face Spaces?▼

Gradio is for interactive ML demos, Docker offers full environment customization, and Static SDKs serve lightweight web content. This Skill helps you choose the right SDK based on your application requirements.

Do I need huggingface_hub to create and maintain Hugging Face Spaces?▼

Yes, huggingface_hub is required to interact with the Hugging Face Spaces platform. This dependency enables the creation, deployment, and maintenance commands needed for your applications.

How do I configure inference providers when deploying models on Hugging Face Spaces?▼

Configure inference providers during the model deployment phase on Hugging Face Spaces. This Skill provides detailed instructions for setting up providers to ensure your hosted models function correctly.

Why is my Hugging Face Space not working after deployment?▼

Hugging Face Spaces may fail after deployment due to SDK misconfiguration or dependency errors. This Skill assists with debugging, optimizing, and updating Spaces to resolve maintenance issues.

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