Hugging Face Skills are Agent Context Protocol (ACP) definitions for AI/ML tasks like dataset creation, model training, and evaluation. They are interoperable with all major coding agent tools like OpenAI Codex, Anthropic's Claude Code, Google DeepMind's Gemini CLI, and Cursor.
December 2025 — We're kicking off this skills library with a community hackathon. Use coding agents to ship real contributions: evaluate models, build datasets, fine-tune LLMs, and earn XP on a community leaderboard.
| Week | Quest | Skill |
|---|---|---|
| 1 | Evaluate a Hub Model | hf_model_evaluation/ |
| 2 | Publish a Hub Dataset | hf_dataset_creator/ |
| 3 | Supervised Fine-Tuning | hf-llm-trainer/ |
Get started: Join the hackathon org → Read apps/quests/01_start.md → Pick a quest
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.
Note
'Skills' is actually an Anthropic term used within Claude AI and Claude Code and not adopted by other agent tools, but we love it! OpenAI Codex uses an AGENTS.md file to define the instructions for your coding agent. Google Gemini uses 'extensions' to define the instructions for your coding agent in a gemini-extension.json file. This repo is compatible with all of them, and more!
Hugging Face skills are compatible with Claude Code, Codex, and Gemini CLI. With integrations Cursor, Windsurf, and Continue, on the way.
- Register the repository as a plugin marketplace:
/plugin marketplace add huggingface/skills
- To install a skill, run:
/plugin install <skill-folder>@huggingface-skills
For example:
/plugin install hf-llm-trainer@huggingface-skills
- Codex will identify the skills via the
AGENTS.mdfile. You can verify the instructions are loaded with:
codex --ask-for-approval never "Summarize the current instructions."
- For more details, see the Codex AGENTS guide.
-
This repo includes
gemini-extension.jsonto integrate with the Gemini CLI. -
Install locally:
gemini extensions install . --consent
or use the GitHub URL:
gemini extensions install https://github.com/huggingface/skills.git --consent
- See Gemini CLI extensions docs for more help.
This repository contains a few skills to get you started. You can also contribute your own skills to the repository.
| Skill Folder | Description | Documentation |
|---|---|---|
hf_dataset_creator/ |
Prompts, templates, and scripts for creating structured training datasets. | SKILL.md |
hf_model_evaluation/ |
Instructions plus utilities for orchestrating evaluation jobs, generating reports, and mapping metrics. | SKILL.md |
hf-llm-trainer/ |
Comprehensive training skill with SKILL.md guidance, helper scripts (e.g., train_sft_example.py, convert_to_gguf.py, cost estimators). |
SKILL.md |
hf-paper-publisher/ |
Tools for publishing and managing research papers on Hugging Face Hub. Index papers from arXiv, link papers to models/datasets, generate professional research articles from templates, and manage paper authorship. | SKILL.md |
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.pyon the latest checkpoint." - "Use the HF dataset creator skill to draft new few-shot classification templates."
- "Use the HF paper publisher skill to index my arXiv paper and link it to my model."
Your coding agent automatically loads the corresponding SKILL.md instructions and helper scripts while it completes the task.
- Copy one of the existing skill folders (for example,
hf_dataset_creator/) and rename it. - Update the new folder’s
SKILL.mdfrontmatter:--- name: my-skill-name description: Describe what the skill does and when to use it --- # Skill Title Guidance + examples + guardrails
- Add or edit supporting scripts, templates, and documents referenced by your instructions.
- Reinstall or reload the skill bundle in your coding agent so the updated folder is available.
- Browse the latest instructions, scripts, and templates directly at huggingface/skills.
- Review Hugging Face documentation for the specific libraries or workflows you reference inside each skill.