huggingface-spaces Skill
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 b Published by huggingface in skills.
What is huggingface-spaces Skill?
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 b Published by huggingface in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Writing
- Deployment use cases
- Writing use cases
Technical details
- Install or run with Copy skill directory
When to use huggingface-spaces Skill
- Use it for deployment.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/skills
- Skill file: skills/huggingface-spaces/SKILL.md
What it does
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 b
Skill instructions
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 huggingfacehub. 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. 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 — mo
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Frequently asked questions
What is huggingface-spaces?
huggingface-spaces is a open-source AI agent skill with Copy skill directory. Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community.
Who is huggingface-spaces best for?
huggingface-spaces is best for reusing agent instructions, scripts, and references, deployment workflows, writing workflows.
How do I install huggingface-spaces?
Install or run huggingface-spaces using Copy skill directory. Check huggingface-spaces for the latest setup command.
Is huggingface-spaces actively maintained?
huggingface-spaces may need a closer maintenance check before production use.
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