A powerful integration for the Hugging Face Hub CLI to programmatically manage repositories, models, datasets, and Spaces.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-huggingface
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-huggingface using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The openclaw-huggingface skill provides a robust interface for developers to interact with the Hugging Face Hub using the official hf command-line utility. As a key component of Openclaw Skills, it allows for seamless automation of machine learning lifecycles, ranging from repository creation and authentication management to advanced file transfers.
This skill is designed to bridge the gap between local development environments and remote AI infrastructure, making it easier to synchronize weights, manage dataset versions, and deploy live applications. By integrating this skill, developers can leverage the full power of the Hugging Face ecosystem within their agentic workflows, ensuring that model management and deployment remain consistent and reproducible.
hf binary and checking for a valid HF_TOKEN in the environment variables.To use this skill, ensure you have the Hugging Face CLI installed and your authentication token configured.
# Install the Hugging Face Hub CLI
pip install -U "huggingface_hub[cli]"
# Set your environment variable
export HF_TOKEN="your_huggingface_api_token"
# Verify your login status via Openclaw Skills
hf auth whoami
The skill interacts with the Hugging Face Hub's structured repository system. It manages data across several primary entities:
| Entity | Scope | Key Attributes |
|---|---|---|
| Models | Repository | Name, owner, downloads, file architecture, license. |
| Datasets | Repository | Split information, metadata, size, dataset card. |
| Spaces | Application | Runtime environment (Gradio/Streamlit), hardware specs, status. |
| Collections | Metadata | Title, list of repository IDs, notes, visibility. |
| Auth | Credential | Token permissions (read/write), username, organization access. |
Loading
A powerful tool for professional DOCX and PPTX editing with tracked changes, formatting preservation, and Git-integrated version control.

A powerful integration for managing Hugging Face Hub resources, including models, datasets, and Spaces, through the hf command-line interface.

A powerful interface for interacting with BAP-578 autonomous AI agents hosted on the BNB Smart Chain.

A powerful skill for automating GitHub issue lifecycle management and autonomous sub-agent orchestration.

A foundational utility for verifying and configuring Model Context Protocol (MCP) servers to ensure AI agents have secure access to Atlassian, GitHub, and Figma.

A comprehensive integration for programmatically managing Trading 212 accounts, executing trades, and retrieving financial metadata.
