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 CLI so you can search, download, upload, and manage models, datasets, Spaces, and compute jobs directly from the command line. ## Core Features & Use Cases - Repository Operations: Download and upload models and datasets, create or delete repos, manage branches, tags, and discussions/PRs. - Compute & Infrastructure: Deploy Inference Endpoints, run Jobs (including hf jobs uv for Python scripts), and manage Spaces with dev-mode and hot-reload. - Data & Automation: Query datasets with SQL via DuckDB, manage S3-like buckets, webhooks, collections, and local cache. - Use Case: You need to download a fine-tuned model, query a dataset's parquet files with SQL, and deploy an inference endpoint — all scriptable with hf download, hf datasets sql, and hf endpoints deploy using --format json for automation. ## Quick Start Ask the assistant 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 repo ID.
