google-deepmind/science-skills

GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.

What it solves

It provides a standardized set of capabilities for AI agents to perform specialized scientific research tasks. This bridges the gap between general-purpose LLMs and the technical requirements of fields like genomics, structural biology, and cheminformatics.

How it works

The project organizes "skills" into directories, each containing a SKILL.md instruction file with YAML frontmatter, helper scripts, and reference documentation. These skills can be integrated into AI agents via the Google Antigravity platform or installed using npx. The system uses the uv package manager to handle the necessary technical dependencies for each scientific task.

Who it’s for

Scientific researchers and AI developers who want to equip their AI agents with the ability to search literature, analyze genomic data, or perform cheminformatics tasks.

Highlights

  • Broad Scientific Scope: Covers genomics, structural biology, cheminformatics, and literature search.
  • Modular Design: Each skill is self-contained with its own instructions and scripts.
  • Integration Ready: Specifically designed for use with Google Antigravity.
  • Extensible: Users can create custom skills or modify existing ones in a personal configuration directory.

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