hugging-face-cli
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
npx skills add majiayu000/claude-skill-registry --skill hugging-face-cli-ihatesea69-hieunghi-ai-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Hugging Face CLI The `hf` CLI provides direct terminal access to the Hugging Face Hub for downloading, uploading, and managing repositories, cache, and compute resources. ## Quick Command Reference | Task | Command | |------|---------| | Login | `hf auth login` | | Download model | `hf download <repo_id>` | | Download to folder | `hf download <repo_id> --local-dir ./path` | | Upload folder | `hf upload <repo_id> . .` | | Create repo | `hf repo create <name>` | | Create tag | `hf repo tag create <repo_id> <tag>` | | Delete files | `hf repo-files delete <repo_id> <files>` | | List cache | `hf cache ls` | | Remove from cache | `hf cache rm <repo_or_revision>` | | List models | `hf models ls` | | Get model info | `hf models info <model_id>` | | List datasets | `hf datasets ls` | | Get dataset info | `hf datasets info <dataset_id>` | | List spaces | `hf spaces ls` | | Get space info | `hf spaces info <space_id>` | | List endpoints | `hf endpoints ls` | | Run GPU job | `hf jobs run --flavor a10g-small <image> <cmd>` | | Environment info | `hf env` | ## Core Commands ### Authentication ```bash hf auth login # Interactive login hf auth login --token $HF_TOKEN # Non-interactive hf auth wh
- Quick Command Reference
- Core Commands
- Authentication
- Download
- Upload
- Repository Management
- Delete Files from Repo
- Cache Management
- Browse Hub
- Jobs (Cloud Compute)
- Inference Endpoints
- Common Patterns
- Download and Use Model Locally
- Publish Model/Dataset
hf auth login # Interactive login hf auth login --token $HF_TOKEN # Non-interactive hf auth whoami # Check current user hf auth list # List stored tokens hf auth switch # Switch between tokens hf auth logout # Log out hf download <repo_id> # Full repo to cache hf download <repo_id> file.safetensors # Specific file hf download <repo_id> --local-dir ./models # To local directory hf download <repo_id> --include "*.safetensors" # Filter by pattern
What does the hugging-face-cli skill do?
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill hugging-face-cli-ihatesea69-hieunghi-ai-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.