←Leaderboard/Science/science-skills
Last commit on September 8, 2026·Created on May 13, 2026

google-deepmind/science-skills

“A library of specialized capabilities for protein structure analysis and genomic data integration”
Combined rank
#147
across all skills
In Science
#2
category rank
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TL;DR

This collection provides computational biologists with the tools to automate the analysis of protein structures and genetic variants. By bridging AI models with biological databases, it streamlines the process of fetching structural data and assessing variant impacts.

The skills enable a more structured approach to integrating genomic databases into AI workflows, allowing researchers to move from raw sequence data to structural insights with greater precision.

WHO IT'S FOR
Computational biologists
automating protein structure and variant analysis
Bioinformatics engineers
integrating genomic databases into AI workflows
Drug discovery researchers
querying chemical and clinical trial data
AI agent / automation builders
building grounded scientific AI agents
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.

Use this skill collection

Follow the documented setup, then try a first task.

Setup

Google Antigravity Science plugin

Installs: Science plugin · Google Antigravity

Before you start
  • Latest version of Google Antigravity.
  • Science skills use uv for dependencies; the agent requests approval to install it on first use.
  • Some skills require API keys, including AlphaGenome and OpenAlex.
  1. Download and install the latest Google Antigravity from https://antigravity.google/.

  2. In the Antigravity app, go to Customizations > Build with Google > Science > Add.

  3. On first use, follow the agent's request to install uv. The author recommends restarting Antigravity after that installation. Supply any API keys required by the selected skill through the agent's setup guidance.

README.md ↗ · Checked Oct 18, 2026

Give it something to do.

Suggested first task

Find five arXiv papers

Uses literature-search-arxiv

  • A research topic or arXiv search query.
  • uv installed and on PATH; follow the skill's setup guidance if missing.
  • Complete the skill's terms-of-use notification if not already recorded in the workspace.

Make sure literature-search-arxiv is installed in your agent before trying this task.

Use the literature-search-arxiv skill to find up to five papers matching my supplied topic or query. Save the search results to a file, then give me each paper's title, authors, a brief summary based on its abstract, and its URL.
Suggested first task

Check one gene's constraint metrics

Uses gnomad-database

  • One gene symbol.
  • uv installed and on PATH; follow the skill's setup guidance if missing.
  • Complete the skill's gnomAD terms-of-use notification if not already recorded in the workspace.

Make sure gnomad-database is installed in your agent before trying this task.

Use the gnomad-database skill to retrieve constraint metrics for the gene symbol I provide. Report its pLI and LOEUF, identifying the returned oe_lof_upper field as the LOEUF score, and save the result to a JSON file.
skills/gnomad_database/SKILL.md ↗ · Checked Oct 18, 2026
Suggested first task

Retrieve a transcription factor motif

Uses jaspar-database

  • A transcription factor name and its species or NCBI Taxon ID.
  • uv installed and on PATH; follow the skill's setup guidance if missing.
  • Complete the skill's JASPAR terms-of-use notification if not already recorded in the workspace.

Make sure jaspar-database is installed in your agent before trying this task.

Use the jaspar-database skill to resolve my transcription factor name to a JASPAR Matrix ID using the species or Taxon ID I provide. Retrieve its position frequency matrix and summarize its TF class, family, and available external database links.
skills/jaspar_database/SKILL.md ↗ · Checked Oct 18, 2026