Skill UI

This skill is designed to translate vague, colloquial, or descriptive biological details (such as behaviors, appearances, or cultural uses) into precise scientific or common species names. It is essential for constructing effective search queries in biological databases when the question does not use formal taxonomic names. By accurately identifying candidate species names from descriptive clues, users can drastically improve search relevance and accuracy.

A comprehensive toolkit utilizing state-of-the-art protein language models (ESM3 and ESM C) for advanced biological research. It enables generative design of novel proteins across sequence, structure, and function, supports inverse folding from target structures, and provides high-quality protein embeddings for downstream machine learning tasks. Ideal for drug discovery, functional annotation, and computational biology.

Hugging Science is a curated, LLM-friendly index specializing in AI/ML applications across diverse scientific domains, including biology, chemistry, physics, and medicine. It helps researchers discover pre-filtered datasets, state-of-the-art models, and interactive demos for solving complex scientific problems, ensuring high signal quality beyond generic search.