huggingface/skills

What it solves

This project provides a standardized way to give AI coding agents (like Claude Code, Cursor, and Gemini CLI) specialized capabilities for interacting with the Hugging Face Hub. It bridges the gap between a general-purpose LLM and the specific technical workflows required for AI/ML tasks such as model training, dataset management, and deployment.

How it works

Skills are packaged as self-contained folders containing a SKILL.md file. This file includes YAML frontmatter for identification and detailed instructions that the coding agent follows when the skill is active. These skills can be installed via plugin marketplaces or directly via the hf CLI. The project supports several integration paths, including the Agent Skills standard, MCP (Model Context Protocol) integrations, and specific plugin manifests for various AI editors.

Who it’s for

Developers and ML engineers who use AI coding agents to automate their Hugging Face Hub workflows, including those who want to extend their agent's capabilities with custom AI/ML task definitions.

Highlights

• Broad Agent Compatibility: Supports Claude Code, Cursor, Codex, and Gemini CLI.
• huggingface-cli Integration: The hf-cli skill acts as a bootstrap path for core Hub operations.
• Task-Specific Skills: Includes a wide range of pre-defined skills for LLM training (TRL, Unsloth), vision model training, dataset viewer API workflows, and SageMaker deployment.
• Extensible Design: Users can create and contribute their own skills by following a simple folder-based structure and updating the SKILL.md file.