Hugging Face

Hugging Face (huggingface.co). Use this skill for ANY Hugging Face request — searching and reading data. Whenever a task involves Hugging Face, use this skill instead of calling the API directly.

Operate Hugging Face through your OOMOL-connected account. This skill calls the huggingface connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.

Category: AI, Developer Tools. Exposes 14 action(s).

Running an action

Assume the user has already installed the oo CLI, signed in, and connected Hugging Face. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.

1. Inspect the contract to get the authoritative input/output schema before building a payload:

oo connector schema "huggingface" --action "<action_name>"

2. Run the action with a JSON payload that matches the input schema:

oo connector run "huggingface" --action "<action_name>" --data '<json>' --json

• --data takes a JSON object string or @path/to/file.json; omit it to send {}.
• The response is { "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.

Each action below links to a reference file with its purpose and exact commands. Read the linked file, then fetch the live schema with oo connector schema before constructing --data.

Available actions

• generate_chat_completion — Generate a chat completion with Hugging Face Inference Providers.
• generate_embeddings — Generate text embeddings with Hugging Face inference.
• get_current_user — Get the current authenticated Hugging Face user profile.
• get_dataset_first_rows — Preview the first rows of a dataset split from the Hugging Face Dataset Viewer.
• get_dataset_info — Get detailed metadata for a Hugging Face dataset by dataset id.
• get_dataset_statistics — Get column statistics for a dataset split from the Hugging Face Dataset Viewer.
• get_model_info — Get detailed metadata for a Hugging Face model by modelId.
• get_space_info — Get detailed metadata for a Hugging Face Space by repo id.
• get_trending — Get trending Hugging Face repositories across models, datasets, and Spaces.
• list_datasets — List Hugging Face datasets using user-friendly search filters.
• list_endpoints — List Hugging Face Inference Endpoints for a namespace.
• list_models — List Hugging Face models using user-friendly search filters.
• list_repo_files — List files in a Hugging Face repository tree.
• list_spaces — List Hugging Face Spaces using user-friendly discovery filters.

Safety

• Read actions (get / list / search) are safe to run directly.
• Create, update, send, or post actions change Hugging Face state — confirm the exact payload and effect with the user before running.
• Delete or remove actions are destructive — always confirm the target and get explicit approval first.

First-time setup

These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

• oo: command not found — install the oo CLI (other platforms: https://cli.oomol.com/install-guide.md):

  curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux
  

  irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell
  

• Not signed in / authentication error — sign in to your OOMOL account once:

  oo auth login
  

• scope_missing / credential_expired / app_not_ready / app_not_found — Hugging Face is not connected, or the connection expired or lacks a scope. Connect once (auth type: OAuth2) at:

  https://console.oomol.com/app-connections?provider=huggingface
  

• HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources

• Hugging Face homepage: https://huggingface.co