Google DeepMind's Science Skills Cuts Biology Research From Hours to Minutes

Google Antigravity just got a serious upgrade for life scientists. Google DeepMind has released Science Skills, a curated bundle of agent skills that connects Antigravity , Google's agentic coding and analysis platform , directly to more than 30 major scientific databases and tools. The pitch is simple but significant: workflows that used to take a researcher hours of manual database-hopping can now be completed in minutes by an AI agent.

The Science Skills bundle is part of the broader Gemini for Science initiative, which also includes three experimental tools: Literature Insights (built with NotebookLM), Hypothesis Generation (built with Co-Scientist), and Computational Discovery (built with AlphaEvolve and ERA). Science Skills is the most immediately practical piece of that suite , it's available right now, free, on GitHub.

What's actually in the box

Science Skills integrates more than 30 major life science databases and tools, including the AlphaFold Database for protein structure predictions, AlphaGenome, UniProt, and InterPro. The bundle is organized into four functional categories:

• Genomics, Transcriptomics, and Regulatory Biology (11 skills): Tools for querying genetic variants, gene expression, and transcriptional regulation across databases like gnomAD, Ensembl, ClinVar, ENCODE, GTEx, dbSNP, JASPAR, and UCSC.
• Proteomics and Structural Biology (10 skills): Fetch and analyze 3D protein structures via the AlphaFold Database, run structural similarity searches with Foldseek, align sequences with Clustal Omega, visualize molecules in PyMOL, and query UniProt, PDB, InterPro, Human Protein Atlas, and STRING.
• Cheminformatics and Clinical Translation (5 skills): Query ChEMBL for drug targets, ClinicalTrials.gov, OpenFDA, OpenTargets, and PubChem , bridging basic biochemistry to drug discovery pipelines.
• Scientific Literature, Pathways, and Ontologies (8 skills): Search PubMed, arXiv, bioRxiv, Europe PMC, OpenAlex, Reactome, QuickGO, and EMBL-EBI's ontology service.

There's also a Workflow Automation skill worth calling out: workflow-skill-creator lets you "handhold" the agent through a custom workflow once, and it will distill that interaction into a reusable skill you can run repeatedly or share with others. That's a meaningful escape hatch for the inevitable coverage gaps.