Individual skill
hugging-science
Discovers and evaluates scientific datasets, models, methodology posts, and Spaces through the Hugging Science catalog. Used when selecting scientific ML resources in biology, chemistry, genomics, materials, climate, physics, astronomy, medicine, mathematics, protein design, single-cell analysis, or PDE modeling, and when checking their actual datasets, Transformers, native-runtime, Inference Providers, or Gradio interfaces.
skills/hugging-science/SKILL.md
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- Last checked
- Nov 10, 2026
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- 56,837
- Repository last updated
- Nov 9, 2026
- License
- MIT
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- ai-scientist Repository topic
- bioinformatics Repository topic
- chemoinformatics Repository topic
- claude Repository topic
- claude-skills Repository topic
- claudecode Repository topic
- clinical-research Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- drug-discovery Repository topic
- design Derived category
- research Derived category
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SKILL.mdcore · 11,816 bytesSKILL.mdcore · 11,816 bytesSKILL.mdcore · 11,816 bytesSKILL.mdcore · 11,816 bytesreferences/flagship-resources.mddoc · 6,108 bytesreferences/review.mddoc · 5,927 bytesreferences/topics-and-slugs.mddoc · 4,588 bytesreferences/using-datasets.mddoc · 5,195 bytesreferences/using-models.mddoc · 6,851 bytesreferences/using-spaces.mddoc · 5,286 bytesscripts/fetch_catalog.pyruns · 14,260 bytes
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# Hugging Science
Hugging Science is a curated, LLM-friendly index of scientific datasets, models, blog posts, and interactive demos for ML researchers. Use it to find candidate resources, then verify their author documentation and scientific suitability; curation does not establish quality, openness, or executable compatibility.
There are two related surfaces, and you should use both:
- **The catalog at `huggingscience.co`** — a static, parseable index of resources across 17 scientific domains. It exposes `llms.txt` (compact), `llms-full.txt` (full content), and `topics/<slug>.md` (per-domain). These are markdown files designed to be fetched and read.
- **The `hugging-science` Hugging Face organization** — `huggingface.co/hugging-science` — community-submitted datasets, models, and a changing collection of Gradio, Docker and static Spaces. Not every listing exposes an inference API.
The catalog *points to* resources hosted on the broader Hugging Face Hub. For example, ESM2 supports Transformers, while Evo2 requires its native runtime and OpenGenome2 needs explicit file-format handling. The catalog provides discovery; use each resource through its verified loader or service.
## When to use this skill
Engage this skill when the user's task involves AI/ML applied to science. Common signals: