A collection of AI/ML skill definitions for coding agents to interact with the Hugging Face ecosystem.
huggingface-skills is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
npx skills add huggingface/skillsRun the command in your terminal.
Confirm that the skill files were added to your agent workspace.
Check the README requirements before invoking the skill in your agent.
This repository contains skill definitions that teach AI coding agents how to perform tasks like model training, dataset creation, and evaluation using Hugging Face tools. It works with popular coding agents such as Claude Code, Codex, Gemini CLI, and Cursor. You can install these skills to give your agent direct access to Hugging Face Hub operations.
Hugging Face Skills is a repository of standardized skill definitions for AI/ML tasks, designed to be interoperable with major coding agent tools like OpenAI Codex, Anthropic's Claude Code, Google DeepMind's Gemini CLI, and Cursor. Each skill is a self-contained folder with a SKILL.md file containing YAML frontmatter and guidance for the agent. The repository includes skills like hf-cli for Hugging Face Hub operations and huggingface-best for model recommendations. Installation varies by agent: for Claude Code, use /plugin install; for Codex, copy skills to .agents/skills; for Gemini CLI, use gemini extensions install; for Cursor, use the plugin manifests. The skills follow the Agent Skills standard and are also available through Cursor Marketplace and Codex Plugins Directory.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 2 days ago.
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Apache-2.0 license detected.
Automate model training and evaluation using Hugging Face libraries via a coding agent.
Search and recommend the best AI models for specific tasks using leaderboard data.
Manage Hugging Face Hub repositories, datasets, and Spaces through CLI commands.
Integrate AI/ML workflows into existing development pipelines with agent support.
Quickly prototype and deploy machine learning models using natural language instructions.
Agent skills can change coding-agent behavior; review every SKILL.md and referenced script before installing.
Check shell, network, file-system, credential, and API-key requirements before running skill workflows.
Skills execute commands on the user's machine; ensure the agent has appropriate permissions and review commands before execution.
Hugging Face Hub access tokens may be exposed if not handled securely; use environment variables or secret management.
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