What problem does it solve? Interacting with the Hugging Face Hub through the web UI or raw API calls is slow and hard to automate. This Skill provides a complete reference for the modern hf command-line interface, enabling scripted management of models, datasets, Spaces, and compute jobs. ## Core Features & Use Cases - Repository Operations: Download, upload, create, duplicate, move, and delete models, datasets, and Spaces, including resumable uploads of large folders. - Data & Compute Workflows: Run SQL queries against dataset parquet files with DuckDB, deploy Inference Endpoints, and execute Python jobs on Hugging Face infrastructure. - Collaboration & Automation: Manage discussions, pull requests, webhooks, collections, and S3-like buckets, with JSON output flags for scripting. - Use Case: A machine learning engineer needs to publish a fine-tuned model and sync a large training dataset. Use this Skill to authenticate with a token, upload the model in a single commit, and run hf upload-large-folder for the dataset. ## Quick Start Ask the AI to download a specific model from the Hugging Face Hub using the hf CLI, for example by requesting it to run hf download with a given repository ID.
