Hugging Face Skills

Install

/plugin marketplace add huggingface/skills
/plugin install hf-cli@huggingface/skills

This is third-party code. Review the repository files before installing.

What it does

The repository collects skills for machine learning tasks in the Hugging Face ecosystem. The core hf-cli skill teaches the agent every hf command: download and upload models and datasets, manage repos, buckets, Spaces and jobs on Hugging Face infrastructure. Other skills install on demand: fine-tuning language and vision models with TRL and Unsloth on HF Jobs, Dataset Viewer API workflows, Gradio and ZeroGPU demos, picking local GGUF models, model evaluation, paper publishing and SageMaker deployment.

Who it is for. For ML engineers and researchers working with models and datasets on Hugging Face through an agent.

Example request

Find a small model on the Hub for review classification and download it to ./models

Limitations

Most operations need a Hugging Face account and token. Training on HF Jobs, ZeroGPU and dedicated Spaces hardware are paid, and SageMaker skills need an AWS account. The Claude Code and Cursor marketplaces install only hf-cli; add the rest with hf skills add.

How to disable. Remove the hf-cli plugin via /plugin, the Gemini extension with gemini extensions uninstall, or skill folders from .agents/skills.

Security check

• Uploads and deletes data in Hub repos on the user's behalf
• Launches paid jobs on cloud GPUs and AWS

README in short

The README explains the Agent Skills format and recommends starting with hf-cli. It covers Claude Code via the plugin marketplace, Codex by copying into .agents/skills, Gemini CLI via extension and Cursor via plugin manifest. A table lists every skill and its purpose. It also describes adding your own skill and why marketplaces expose only hf-cli.

SKILL.md

---
name: hf-cli
description: "Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints."
---

Install: `curl -LsSf https://hf.co/cli/install.sh | bash -s`.

The Hugging Face Hub CLI tool `hf` is available. IMPORTANT: The `hf` command replaces the deprecated `huggingface-cli` command.

Use `hf --help` to view available functions. Note that auth commands are now all under `hf auth` e.g. `hf auth whoami`.

Generated with `huggingface_hub v1.30.0`. Run `hf skills add --force` to regenerate.

## Commands

- `hf cp SRC` — Copy files between local paths, repositories, and buckets.
- `hf download REPO_ID` — Download files from the Hub.
- `hf env` — Print information about the environment.
- `hf sync` — Sync files between local directory and a bucket.
- `hf update` — Update the `hf` CLI to the latest version.
- `hf upload REPO_ID` — Upload a file or a folder to the Hub. Recommended for single-commit uploads.
- `hf version` — Print information about the hf version.

### `hf auth` — Manage authentication (login, logout, etc.).

- `hf auth list` — List all stored access tokens.
- `hf auth login` — Login from your browser, or using a token from huggingface.co/settings/tokens.
- `hf auth logout` — Logout from a specific token.
- `hf auth switch` — Switch between access tokens.
- `hf auth token` — Print the current access token to stdout.
- `hf auth whoami` — Find out which huggingface.co account you are logged in as.

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