hugging-science
Category: data-science-and-ml · License: MIT · Version: 1.3 · Includes scripts
Tags: AI for science, scientific datasets, foundation models, Hugging Face, machine learning
When to use it
Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources viadatasets, transformers, the HF Inference API, gradio_client, and methodology citations.
Example requests
Ask your agent in plain language, for example:- “Is there a good open dataset for single-cell RNA-seq of human immune cells on the HF Hub?”
- “I’m fine-tuning ESM2 650M on my stability labels in stability.csv (about 12k sequences) and keep hitting CUDA OOM on a 16GB GPU with batch size 16. Is there a smaller ESM variant or a better setup in the HF ecosystem, and is there a methodology write-up I should cite?”
- “I want to design a protein binder against a target I have a PDB file for, but I don’t have a big GPU. What are my options?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole data-science-and-ml category with /plugin install data-science-and-ml@research-agent-skills.