What problem does it solve? Working with the Hugging Face Hub from the terminal requires knowing dozens of commands across authentication, file transfers, repo management, inference endpoints, and scheduled jobs. This Skill gives an AI assistant the complete, current command reference for the hf CLI so it can execute Hub operations correctly on the first attempt. ## Core Features & Use Cases - File and repo operations: Download and upload models, datasets, and spaces, sync buckets, manage branches, tags, and repo settings. - Compute and deployment: Run and schedule jobs on HF infrastructure, deploy and manage Inference Endpoints, and configure Space hardware, secrets, and variables. - Discovery and collaboration: Search models, datasets, spaces, and papers, query dataset parquet files with SQL, and manage discussions, pull requests, collections, and webhooks. - Use Case: Ask the assistant to download a specific dataset revision, run a SQL query against its parquet files, then upload the processed results to a new private dataset repo. ## Quick Start Ask the assistant to download the dataset 'sumpalabs/petrodb' from the Hugging Face Hub and list its parquet files.