← AI GitHub

AI GitHub

scientific-agent-skills

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Ag

By

Agent SkillsScience and ResearchData and RetrievalAI AgentsPublished 2 min read

Key Takeaways

  • A collection of 177 scientific and research skills for AI agents, created by K-Dense.
  • Design and analyze assays: Primer Design, FlowKit, MAGeCK, CellProfiler
  • Once you've installed the skills, you can ask your AI agent to execute complex multi-step scientific workflows.
  • Read the project documentation for installation, requirements and usage instructions.

What scientific-agent-skills does

A collection of 177 scientific and research skills for AI agents, created by K-Dense. The skills cover biology, chemistry, medicine, physics, engineering, Earth science, data analysis, and scientific communication. Each provides guidance for a specific package, data source, or workflow, including the scientific conventions and validation checks needed to use it.

The collection follows the open Agent Skills standard and works with Cursor, Claude Code, Codex, Google Antigravity, and other compatible hosts. It is also a portable Agent Plugins package (plugin.json + skills/), so clients that support that standard can load the collection as one plugin. Browse the illustrated skill guides, skill categories, or complete catalog to choose the skills relevant to your work.

Recently added workflows

  • Design and analyze assays: Primer Design, FlowKit, MAGeCK, CellProfiler

  • Process spectra and model metabolism: nmrglue, 13C Metabolic Flux, Tellurium

  • Reconstruct structures and preserve neural data: RELION, NWB Conversion

  • Analyze microbiomes and seawater chemistry: QIIME 2 Amplicon, Marine Carbonate Chemistry

  • Simulate energy and materials systems: PyBaMM, Cantera, pycalphad

💡 Quick Examples

Once you've installed the skills, you can ask your AI agent to execute complex multi-step scientific workflows. Here are some example prompts:

Explore the project

Read the project documentation for installation, requirements and usage instructions. The overview above draws on the project's README; follow the original documentation when setting it up.

Try it for your workflow

Explore the project’s documentation for setup and usage, or save this page to a collection for later.

Read the project documentation ↗