🎯Skills27
Skill
Trains and fine-tunes language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure, supporting SFT, DPO, GRPO, reward modeling, and GGUF conversion for local deployment.
Creates and manages datasets on Hugging Face Hub with support for SQL-based querying via DuckDB, streaming row updates, multi-format dataset support, and integration with the HF MCP server for dataset workflows.
Official Hugging Face Gradio skill for building Python web UIs and ML demos — covers the `Interface` high-level wrapper, `Blocks` low-level layout with explicit event wiring, `ChatInterface` for chatbots, core component signatures (Textbox, etc.), streaming inputs/outputs, custom CSS/JS, and sharing your app.
Part of the official Hugging Face Skills collection, this skill teaches AI coding agents how to work with Transformers.js for running machine learning models directly in the browser and Node.js environments.
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.
Explores, queries, and extracts data from any Hugging Face dataset via the Dataset Viewer REST API and npx tooling with zero Python dependencies — split/config discovery, row pagination, text search, filtering, SQL via parquetlens, and CLI upload.
Hugging Face agent skills for AI/ML tasks like dataset creation, model training, and evaluation, interoperable with major coding agent tools.
Adds and manages evaluation results in Hugging Face model cards, supporting evaluation table extraction, Artificial Analysis API score imports, and custom model evaluations with vLLM/lighteval/inspect-ai.
Official Hugging Face skill for training **vision models on HF Jobs cloud GPUs** — fine-tunes object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm MobileNetV3/MobileViT/ResNet/ViT/DINOv3 + Transformers classifiers), and SAM/SAM2 segmentation; covers COCO dataset prep (xywh/xyxy auto-detect), Albumentations augmentation, mAP/mAR + accuracy metrics, DiceCE loss, Trackio monitoring, Hub persistence, and mandatory dataset validation before GPU training.
Enables Hugging Face Hub operations via the hf CLI, covering model/dataset/space downloads, file uploads, repository creation, cache management, and cloud compute job execution on HF infrastructure.
Hugging Face skills for AI/ML tasks including dataset creation, model training, and evaluation. Follows the Agent Skills standard and works with Claude Code, Codex, Gemini CLI, and Cursor.
Official Hugging Face skill for publishing and managing research papers on the Hub, including paper page creation, arXiv integration, model/dataset linking, authorship management, and markdown-based article generation
Hugging Face skill for AI/ML experiment tracking with TrackIO, providing AI coding agents with instructions for logging metrics, parameters, and artifacts during model training and evaluation.
Runs any workload on fully managed Hugging Face Jobs infrastructure including data processing, batch inference, experiments, and scheduled tasks on cloud CPUs/GPUs/TPUs without local setup.
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.
Creates reusable command-line scripts and utilities for the Hugging Face API, enabling chaining, piping, and intermediate data processing for model/dataset/space operations with proper token authentication.
Tracks and visualizes ML training experiments with Trackio, providing a Python API for logging metrics during training and a CLI for retrieving metrics, with real-time dashboard visualization and HF Space syncing.
Enables building reusable scripts for Hugging Face Hub and API workflows, useful for chaining API calls, enriching Hub metadata, or automating repeated tasks across models and datasets.
Builds Gradio-based interactive ML demos and interfaces using Hugging Face ecosystem.
Skill
Part of the Hugging Face Skills collection providing standardized AI/ML task definitions for dataset creation, model training, and evaluation. Compatible with Claude Code, Codex, Gemini CLI, and Cursor, following the open Agent Skills format.
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🔌Plugins8
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.
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.
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.
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.
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.
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.
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.
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.