huggingface-spaces

npx skills add sickn33/agentic-awesome-skills --skill huggingface-spaces --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Hugging Face Spaces ## When to Use Use this skill when you need 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... 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, ask them to run `! hf auth login` in this session — they'll need a write-scoped token from https://huggingface.co/settings/tokens. 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 thre

hf spaces search "<model name or task>" --sdk gradio --limit 10
hf repos create <namespace>/<name> --type space --space-sdk <gradio|docker|static> \
hf spaces info <ns>/<name> --expand runtime
hf spaces logs <ns>/<name> --tail 200
hf buckets create <ns>/<bucket-name>                                          # --private optional
hf spaces volumes set <ns>/<space> -v hf://buckets/<ns>/<bucket-name>:/data   # read-write at /data