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Test 56ca84f243 feat: add huggingface-hub bundled skill

Adds the Hugging Face CLI (hf) reference as a built-in skill under
mlops/. Covers downloading/uploading models and datasets, repo
management, SQL queries on datasets, inference endpoints, Spaces,
buckets, and more.

Based on the official HF skill from huggingface/skills.

2026-03-18 04:07:41 -07:00

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Hugging Face CLI (`hf`) Reference Guide

The hf command is the modern command-line interface for interacting with the Hugging Face Hub, providing tools to manage repositories, models, datasets, and Spaces.

IMPORTANT: The hf command replaces the now deprecated huggingface-cli command.

Quick Start

Installation: curl -LsSf https://hf.co/cli/install.sh | bash -s
Help: Use hf --help to view all available functions and real-world examples.
Authentication: Recommended via HF_TOKEN environment variable or the --token flag.

Core Commands

General Operations

hf download REPO_ID: Download files from the Hub.
hf upload REPO_ID: Upload files/folders (recommended for single-commit).
hf upload-large-folder REPO_ID LOCAL_PATH: Recommended for resumable uploads of large directories.
hf sync: Sync files between a local directory and a bucket.
hf env / hf version: View environment and version details.

Authentication (`hf auth`)

login / logout: Manage sessions using tokens from huggingface.co/settings/tokens.
list / switch: Manage and toggle between multiple stored access tokens.
whoami: Identify the currently logged-in account.

Repository Management (`hf repos`)

create / delete: Create or permanently remove repositories.
duplicate: Clone a model, dataset, or Space to a new ID.
move: Transfer a repository between namespaces.
branch / tag: Manage Git-like references.
delete-files: Remove specific files using patterns.

Specialized Hub Interactions

Datasets & Models

Datasets: hf datasets list, info, and parquet (list parquet URLs).
SQL Queries: hf datasets sql SQL — Execute raw SQL via DuckDB against dataset parquet URLs.
Models: hf models list and info.
Papers: hf papers list — View daily papers.

Discussions & Pull Requests (`hf discussions`)

Manage the lifecycle of Hub contributions: list, create, info, comment, close, reopen, and rename.
diff: View changes in a PR.
merge: Finalize pull requests.

Infrastructure & Compute

Endpoints: Deploy and manage Inference Endpoints (deploy, pause, resume, scale-to-zero, catalog).
Jobs: Run compute tasks on HF infrastructure. Includes hf jobs uv for running Python scripts with inline dependencies and stats for resource monitoring.
Spaces: Manage interactive apps. Includes dev-mode and hot-reload for Python files without full restarts.

Storage & Automation

Buckets: Full S3-like bucket management (create, cp, mv, rm, sync).
Cache: Manage local storage with list, prune (remove detached revisions), and verify (checksum checks).
Webhooks: Automate workflows by managing Hub webhooks (create, watch, enable/disable).
Collections: Organize Hub items into collections (add-item, update, list).

Advanced Usage & Tips

Global Flags

--format json: Produces machine-readable output for automation.
-q / --quiet: Limits output to IDs only.

Extensions & Skills

Extensions: Extend CLI functionality via GitHub repositories using hf extensions install REPO_ID.
Skills: Manage AI assistant skills with hf skills add.

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Hugging Face CLI (hf) Reference Guide