Hugging Face Skills Reference
Comprehensive reference for Hugging Face skills to enhance ML workflows.
You have additional SKILLs documented in directories containing a "SKILL.md" file.
Available Skills
| Skill | Description |
|---|---|
| hugging-face-cli | Execute Hugging Face Hub operations using the hf CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. |
| hugging-face-datasets | Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. |
| hugging-face-evaluation | Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations. |
| hugging-face-jobs | Run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. |
| hugging-face-model-trainer | Train or fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. |
| hugging-face-paper-publisher | Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles. |
| hugging-face-tool-builder | Build tool/scripts or achieve a task where using data from the Hugging Face API would help. Creates reusable scripts to fetch, enrich or process data. |
| hugging-face-trackio | Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). |
| gradio | Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots. |
| hugging-face-dataset-viewer | Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics. |
Usage
IMPORTANT: You MUST read the SKILL.md file whenever the description of the skills matches the user intent, or may help accomplish their task.
Skill Paths
Paths referenced within SKILL folders are relative to that SKILL. For example the hf-datasets scripts/example.py would be referenced as hf-datasets/scripts/example.py.
Skill Files
The skills are located in:
skills/hugging-face-cli/SKILL.mdskills/hugging-face-datasets/SKILL.mdskills/hugging-face-evaluation/SKILL.mdskills/hugging-face-jobs/SKILL.mdskills/hugging-face-model-trainer/SKILL.mdskills/hugging-face-paper-publisher/SKILL.mdskills/hugging-face-tool-builder/SKILL.mdskills/hugging-face-trackio/SKILL.mdskills/huggingface-gradio/SKILL.mdskills/hugging-face-dataset-viewer/SKILL.md