Find scientific ML resources that fit your work.
Finds scientific ML resources and evaluates their suitability and usable interfaces for the user's task.
When to use it
Use for scientific AI/ML tasks, including finding datasets or models, reproducing papers, evaluating benchmarks, and finding interactive demos.
Give it a scientific ML task; it identifies candidate resources, explains their tradeoffs, and checks how to use them.
Requires Python 3.10+ to run the standard-library catalog fetcher.
Uses HF_TOKEN for gated resources, loading it into the environment from .env in the current or a parent directory when available; public resources can work without it.
This skill
huggingscience.co
Fetches the scientific resource catalog
Hugging Face Hub
Checks Hugging Face resources