@skills · Owner
Agent skills by huggingface
30 skills indexed from github.com/huggingface. Reference any of them in AdaL, Claude Code, Cursor or any coding agent — nothing to install.
- hf-cli · Skill · 10,906 stars
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face H
- hf-cloud-aws-context-discovery · Skill · 10,906 stars
Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other A
- hf-cloud-python-env-setup · Skill · 10,906 stars
Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will b
- hf-cloud-sagemaker-deployment-planner · Skill · 10,906 stars
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on S
- hf-cloud-sagemaker-iam-preflight · Skill · 10,906 stars
Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training
- hf-cloud-sagemaker-production-defaults · Skill · 10,906 stars
Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this sk
- hf-cloud-serving-image-selection · Skill · 10,906 stars
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a Sage
- hf-mcp · Skill · 10,906 stars
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio
- hf-mcp · Collection · 10,906 stars
- hf-mem · Skill · 10,906 stars
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
- huggingface-best · Skill · 10,906 stars
Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benc
- huggingface-community-evals · Skill · 10,906 stars
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing betw
- huggingface-datasets · Skill · 10,906 stars
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet
- huggingface-gradio · Skill · 10,906 stars
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
- huggingface-llm-trainer · Skill · 10,906 stars
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT,
- huggingface-local-models · Skill · 10,906 stars
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact
- huggingface-lora-space-builder · Skill · 10,906 stars
Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo,
- huggingface-paper-publisher · Skill · 10,906 stars
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generati
- huggingface-papers · Skill · 10,906 stars
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Githu
- huggingface-spaces · Skill · 10,906 stars
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging,
- huggingface-tool-builder · Skill · 10,906 stars
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful
- huggingface-trackio · Skill · 10,906 stars
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or
- huggingface-vision-trainer · Skill · 10,906 stars
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, Res
- huggingface-zerogpu · Skill · 10,906 stars
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `pytho
- skills · Collection · 10,906 stars
- skills · Collection · 10,906 stars
- skills · Collection · 10,906 stars
- train-sentence-transformers · Skill · 10,906 stars
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, cluste
- transformers-js · Skill · 10,906 stars
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summ
- trl-training · Skill · 10,906 stars
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model traini