What problem does it solve? Interacting with the Hugging Face Hub through the browser or raw API calls is slow and hard to automate. This Skill provides a complete reference for the modern hf command-line interface so an agent can search, download, upload, and manage Hub resources directly from the terminal. ## Core Features & Use Cases - Model and Dataset Operations: Search, inspect, download, and upload models and datasets, including SQL queries against dataset parquet files via DuckDB. - Repository and Collaboration Management: Create, duplicate, move, and delete repositories, and manage discussions and pull requests on the Hub. - Infrastructure and Automation: Deploy Inference Endpoints, run compute jobs, manage Spaces, buckets, caches, and webhooks. - Use Case: Ask the agent to download a specific model revision, upload a fine-tuned checkpoint to a new repository, and open a pull request with a comment, all through hf commands. ## Quick Start Ask the agent to download the model 'meta-llama/Llama-3-8B' from the Hugging Face Hub using the hf CLI.