Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
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Review the instructions the agent will receive before you install.
hf) Reference GuideThe 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
hfcommand replaces the now deprecatedhuggingface-clicommand.
curl -LsSf https://hf.co/cli/install.sh | bash -shf --help to view all available functions and real-world examples.HF_TOKEN environment variable or the --token flag.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.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.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.hf datasets list, info, and parquet (list parquet URLs).hf datasets sql SQL — Execute raw SQL via DuckDB against dataset parquet URLs.hf models list and info.hf papers list — View daily papers.hf discussions)list, create, info, comment, close, reopen, and rename.diff: View changes in a PR.merge: Finalize pull requests.deploy, pause, resume, scale-to-zero, catalog).hf jobs uv for running Python scripts with inline dependencies and stats for resource monitoring.dev-mode and hot-reload for Python files without full restarts.create, cp, mv, rm, sync).list, prune (remove detached revisions), and verify (checksum checks).create, watch, enable/disable).add-item, update, list).--format json: Produces machine-readable output for automation.-q / --quiet: Limits output to IDs only.hf extensions install REPO_ID.hf skills add.No reviews yet. Tell others what you thought.
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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