hugging-face-model-trainer
🔌Pluginhuggingface/skills
|Official Hugging Face skills defining AI/ML tasks like dataset creation, model training, and evaluation. Interoperable with Claude Code, OpenAI Codex, Gemini CLI, and Cursor using the standardized Agent Skill format.
Overview
Hugging Face Model Trainer is a plugin from the official Hugging Face Skills repository that provides AI/ML task definitions for model training workflows. It is part of a collection of interoperable skills following the standardized Agent Skill format, working with Claude Code, OpenAI Codex, Gemini CLI, and Cursor.
Key Features
- Model Training Guidance - Provides structured instructions for training machine learning models within the Hugging Face ecosystem
- Multi-Agent Compatibility - Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and other AI coding assistants through the Agent Skills standard
- Plugin Marketplace - Installable via Claude Code's plugin marketplace with
/plugin marketplace add huggingface/skillsfollowed by/plugin install - Standardized Format - Uses SKILL.md files with YAML frontmatter containing name, description, and detailed guidance for AI agents
- Cross-Tool Fallback - Includes AGENTS.md and gemini-extension.json for compatibility with tools that do not natively support skills
Who is this for?
This plugin is designed for ML engineers and data scientists who train models using the Hugging Face ecosystem and want AI coding assistants to provide expert guidance during the training process. It is ideal for teams working on model fine-tuning, training configuration, and optimization who benefit from structured, agent-consumable instructions.
Part of
huggingface-skills
Installation
/plugin marketplace add huggingface/skills/plugin install hugging-face-model-trainer@huggingface-skillsMore from this repository10
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