Huggingface Skills

Hugging Face Skills are definitions for AI/ML tasks like dataset creation, model training, and evaluation. The client plugin marketplaces expose the hf-cli skill as the bootstrap path for core Hub operations; additional workflow skills can be installed on demand with hf skills add or discovered by skill-aware clients over CLI/MCP integrations.

The skills in this repository follow the standardized Agent Skills format.

> [!NOTE] > Just want to give your agent access to the Hugging Face Hub? Start with hf-cli. It's the recommended first Skill to install: it teaches your agent every hf command (search models, manage datasets and buckets, launch Spaces, run jobs) and is generated from your locally installed CLI so it stays current.

How do Skills work?

In practice, skills are self-contained folders that package instructions, scripts, and resources together for an AI agent to use on a specific use case. Each folder includes a SKILL.md file with YAML frontmatter (name and description) followed by the guidance your coding agent follows while the skill is active.

> [!TIP] > If your agent doesn't support skills, you can use agentsmd/AGENTS.md directly as a fallback.

The hf-cli skill in this repository is also available through:

• Cursor Marketplace (https://cursor.com/marketplace/huggingface)
• Codex Plugins Directory (https://developers.openai.com/codex/plugins)

Installation

Hugging Face skills are compatible with Claude Code, Codex, Gemini CLI, and Cursor.

Claude Code

1. Register the repository as a plugin marketplace:

/plugin marketplace add huggingface/skills

1. Install the CLI skill:

/plugin install hf-cli@huggingface/skills

1. To install another Hugging Face skill, use the hf CLI:

hf skills add <skill-name>

Codex

1. Copy or symlink any skills you want to use from this repository's skills/ directory into one of Codex's standard .agents/skills locations (for example, $REPO_ROOT/.agents/skills or $HOME/.agents/skills) as described in the Codex Skills guide.

1. Once a skill is available in one of those locations, Codex will discover it using the Agent Skills standard and load the SKILL.md instructions when it decides to use that skill or when you explicitly invoke it.

1. If your Codex setup still relies on AGENTS.md, you can use the generated agentsmd/AGENTS.md file in this repo as a fallback bundle of instructions.

Gemini CLI

1. This repo includes gemini-extension.json to integrate with the Gemini CLI.

1. Install locally:

gemini extensions install . --consent

or use the GitHub URL:

gemini extensions install https://github.com/huggingface/skills.git --consent

1. See Gemini CLI extensions docs for more help.

Cursor

This repository includes Cursor plugin manifests:

• .cursor-plugin/plugin.json
• .mcp.json (configured with the Hugging Face MCP server URL)

Install from repository URL (or local checkout) via the Cursor plugin flow. The marketplace entry is intentionally limited to hf-cli; use hf skills add to install additional workflow skills.

For contributors, regenerate manifests with:

./scripts/publish.sh

Skills

This repository contains a few skills to get you started. You can also contribute your own skills to the repository.

Available skills

Using skills in your coding agent

Once a skill is installed, mention it directly while giving your coding agent instructions:

• "Use the HF LLM trainer skill to estimate the GPU memory needed for a 70B model run."
• "Use the HF model evaluation skill to launch run_eval_job.py on the latest checkpoint."
• "Use the HF dataset creator skill to draft new few-shot classification templates."