by K-Dense-AI
The hugging-science skill helps you find and use scientific AI resources from the Hugging Science catalog and the `hugging-science` Hugging Face org. It fits biology, chemistry, climate, genomics, materials, astronomy, and similar work when you need a dataset, model, Space, or blog post you can actually run or cite. Use it for hugging-science usage and hugging-science guide workflows instead of generic search.
by huggingface
Use transformers-js to run ML models in JavaScript and TypeScript across browser and server runtimes. The transformers-js skill covers install, model loading, caching, configuration, and practical transformers-js usage for text, vision, audio, multimodal tasks, and transformers-js for Code Generation with supported text-generation models.
by huggingface
huggingface-vision-trainer helps you install and use a Hugging Face skill for vision training jobs: object detection, image classification, and SAM/SAM2 segmentation. It covers dataset prep, cloud GPU setup, evaluation, Trackio logging, and pushing results to the Hub. Ideal for backend automation and repeatable training workflows.
by huggingface
The huggingface-tool-builder skill helps you create reusable command-line tools for Hugging Face API work instead of one-off prompts. It is useful for chained API calls, intermediate processing, repeatable fetch/enrich steps, and API Development workflows with shell, Python, or TSX.
by huggingface
huggingface-trackio helps track ML training runs with Trackio. Use this skill to log metrics from Python, add training alerts, and retrieve or analyze runs with the trackio CLI. It supports real-time dashboards, Hugging Face Space sync, and JSON output for automation, making huggingface-trackio useful for experiment tracking and data analysis.
by huggingface
huggingface-papers helps you read Hugging Face paper pages in markdown and extract structured metadata from the papers API, including authors, linked models, datasets, Spaces, GitHub repos, and project pages. Use it for Hugging Face paper URLs, arXiv URLs or IDs, and Academic Research workflows that need paper-page evidence.
by huggingface
huggingface-paper-publisher helps publish and manage research papers on the Hugging Face Hub. Use it to index arXiv papers, link papers to models or datasets, verify authorship, and create markdown research articles with templates for technical writing.
by huggingface
huggingface-llm-trainer helps you train or fine-tune language and vision models on Hugging Face Jobs with TRL or Unsloth. Use this huggingface-llm-trainer skill for SFT, DPO, GRPO, reward modeling, dataset checks, GPU selection, Hub saving, Trackio monitoring, and GGUF export for backend development workflows.
by huggingface
huggingface-local-models helps you find Hugging Face models that run locally with llama.cpp and GGUF, choose a practical quant, and launch on CPU, Apple Metal, CUDA, or ROCm. It covers model discovery, exact GGUF file lookup, server vs CLI setup, and a fast path for backend development and private local inference.
by huggingface
huggingface-community-evals helps you run Hugging Face Hub model evaluations locally with inspect-ai or lighteval. Use it for backend selection, smoke tests, and a practical guide to vLLM, Transformers, or accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publishing, or community-evals automation.
by huggingface
Use the huggingface-datasets skill for Hugging Face Dataset Viewer API workflows to validate datasets, resolve splits, preview and paginate rows, search text, apply filters, and fetch parquet links or statistics. It is a practical huggingface-datasets guide for read-only dataset exploration.
by huggingface
The huggingface-best skill helps you find the best model for a task by checking Hugging Face benchmark leaderboards and filtering by device limits and model size. Use it for model recommendations in coding, reasoning, chat, OCR, RAG, speech, vision, or multimodal work when you need a practical shortlist, not a generic model list.
by huggingface
huggingface-gradio helps you build and edit Gradio web UIs in Python for demos, chatbots, and frontend-development workflows. Use the huggingface-gradio skill to choose components, wire events, and shape layouts with less guesswork.
by huggingface
The hf-cli skill helps you use the Hugging Face Hub CLI (`hf`) for authentication, downloads, uploads, repo and bucket management, dataset and model inspection, and other Hub workflows. It is useful for Backend Development teams that want repeatable, scriptable hf-cli usage and a practical hf-cli guide.
by K-Dense-AI
The transformers skill helps you use Hugging Face Transformers for model loading, inference, tokenization, and fine-tuning. It is a practical transformers guide for Machine Learning tasks across text, vision, audio, and multimodal workflows, with clear paths for quick baselines and custom training.
