# huggingface-spaces

This skill helps build, deploy, and debug apps on Hugging Face Spaces. Use it for Gradio, Docker, Static SDKs, model loading, and ZeroGPU.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1100 installs · ★ 11213
- Author: huggingface
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/huggingface/skills/tree/HEAD/skills/huggingface-spaces/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/huggingface-spaces

## What it does

The skill guides work with Hugging Face Spaces, where each app is stored as a git repository. It helps choose an SDK, search for a similar Space, create a repository with `hf`, set visibility, and select hardware. Gradio supports ZeroGPU and dedicated GPUs, Docker runs an arbitrary container, and Static covers plain HTML plus React, Svelte, or Vue projects built at deploy time.

It includes workflows for model loading, build and runtime debugging, buckets, Inference Providers, and community grant requests. Before starting, install the `hf` CLI and authenticate with `hf auth login`; creating Gradio or Docker Spaces depends on the plan, while a free account can host Static Spaces and up to 2 ZeroGPU Spaces. Check `canPay` and `isPro` before choosing `cpu-basic` or dedicated hardware.

## Requirements
- Works with: Docker

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add huggingface/skills --skill huggingface-spaces -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/huggingface-spaces/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/huggingface-spaces/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add huggingface/skills --skill huggingface-spaces -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/huggingface-spaces/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add huggingface/skills --skill huggingface-spaces -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/huggingface-spaces/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install huggingface/skills huggingface-spaces
```

2. **Manually: put the files in place**
- File: `.github/skills/huggingface-spaces/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add huggingface/skills --skill huggingface-spaces -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/huggingface/skills --path skills/huggingface-spaces
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/huggingface-spaces/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add huggingface/skills --skill huggingface-spaces -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/huggingface/skills/tree/HEAD/skills/huggingface-spaces/SKILL.md

## When to use it
- create an application in Hugging Face Spaces
- choose an SDK and hardware tier for a Space
- port a model to ZeroGPU
- debug a Space that fails to build or run
- configure model loading and secrets

## Example prompts
- Create a public Gradio Space for this model and choose suitable hardware.
- Find out why this Space fails to build, inspect `app.py` and `requirements.txt`, then propose a fix.
- Port this demo to ZeroGPU and configure the `@spaces.GPU` decorator.

## Source text · SKILL.md · Apache-2.0

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BEGIN THIRD-PARTY FILE 9fceec1e86c8ad8b
```text
---
name: huggingface-spaces
description: Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.
---

# Hugging Face Spaces

Hugging Face Spaces host machine-learning applications. There are 1M+ today; each Space is a git repo. This skill covers creating, building, debugging, and maintaining them.

## 0. Getting ready

Before anything else:

1. Check the `hf` CLI is installed: `which hf`. If not, `pip install -U huggingface_hub`.
2. Check the user is logged in: `hf auth whoami`. If not, run `hf auth login` — it prints a URL and a one-time code; ask the user to open the URL and enter the code, then login completes automatically (OAuth, no token needed). Alternatively, pass a write-scoped token from https://huggingface.co/settings/tokens with `--token`.
3. Note `whoami`'s `canPay` and `isPro` flags — they gate hardware choices below. A free (`isPro=False`) account can only host Static Spaces and up to 2 ZeroGPU Spaces.

The `hf-cli` skill teaches an agent every `hf` command and is the recommended companion to this one. Install it with `hf skills add hf-cli` (add `--claude --global` to install for Claude Code as well, user-level).

## 1. What a Space is

A Space is a git repo with three possible SDKs:

- **Gradio** — most Spaces. Python, fast iteration, supports ZeroGPU.
- **Docker** — arbitrary container. Use when you need a non-Python stack or a pre-built template (Streamlit, Argilla, Shiny, etc. — full list at https://huggingface.co/docs/hub/spaces-sdks-docker). Does **not** support ZeroGPU.
- **Static** — plain HTML, or a React/Svelte/Vue project built at deploy time. Use for in-browser ML (transformers.js / WebGPU / WebAssembly / onnxruntime-web), project pages, interactive reports, or Spaces that orchestrate other Spaces. No hardware needed.

### Hardware tiers

Static Spaces are free for everyone and need no hardware. **Gradio and Docker Spaces run on compute and require a paid plan to create** — PRO for personal accounts, Team or Enterprise for organizations — with one exception: **free personal accounts in good standing (verified email, account older than 30 days) can host up to 2 ZeroGPU Spaces.**

So on a free account ZeroGPU is the *only* way to host a Gradio Space. `cpu-basic` is not the safe fallback it used to be — it is gated too.
```
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First 2695 of 17903 bytes. © huggingface · Apache-2.0 · https://github.com/huggingface/skills/tree/HEAD/skills/huggingface-spaces/SKILL.md

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