Google DeepMind's Science Skills Pushes Gemini 3 Flash From 49% to 93% Accuracy

Agentic AI has been making inroads into software engineering for a while, but science has proven harder to crack. The problem is not that language models lack general knowledge about biology or chemistry. It's that when an agent needs to look up a specific protein structure, query a clinical variant database, or ground a claim in a published paper, it has no reliable way to do so. It falls back on web search, hallucinates citations, and burns through tokens trying to recover. Google DeepMind's Science Skills is a direct attack on that problem.

What just shipped

Google Antigravity is Google's agentic development platform, built on the Gemini model. The Science Skills bundle augments it with science-specific instructions in the form of agent skills, strengthening Antigravity for common scientific workflows. The toolkit is now publicly available on GitHub under an Apache 2.0 license and free to use.

As part of the broader Gemini for Science initiative, Science Skills integrates insights from over 30 major life science databases and tools including UniProt, AlphaFold Database, AlphaGenome API, and InterPro. The initial focus is biology and life sciences, covering four main domains:

• Genomics, Transcriptomics, and Regulatory Biology (11 skills): variant analysis via ClinVar, dbSNP, gnomAD; gene expression via GTEx and Ensembl; regulatory elements via ENCODE and JASPAR
• Proteomics and Structural Biology (10 skills): AlphaFold Database, PDB, UniProt, Foldseek structural search, PyMOL visualization, protein sequence alignment
• Cheminformatics and Clinical Translation (5 skills): ChEMBL, ClinicalTrials.gov, OpenFDA, OpenTargets, PubChem
• Scientific Literature, Pathways, and Ontologies (8 skills): PubMed, arXiv, bioRxiv, Europe PMC, OpenAlex, Reactome, QuickGO

There is also a Workflow Automation skill that lets you teach the agent your own custom workflows. A user can "handhold" an agent through their intended workflow and then use that interaction as a template to create their own reusable skill tailored to their needs.

The architecture: skills as structured instructions