SCI Skills

EN Index
Data & ReproMaterials, Engineering & SimulationFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
VI

virtual-lab-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

Virtual lab agent for in silico experiment simulation and protocol optimization.

OpenClawNanoClawAnalysisReproductionvirtual-lab-agent🧠 bioos extended suiteresearch infrastructure & agentsvirtual

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/virtual-lab-agent

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • The Virtual Lab Agent orchestrates AI-powered virtual scientific research teams consisting of specialized agents (Principal Investigator, Immunologist, Computational Biologist, Machine Learning Specialist) to autonomously conduct biomedical research. Inspired by Stanford's AI Scientist model, it enables hypothesis generation, experimental design, in silico validation, and research synthesis.
  • When exploring new research hypotheses autonomously.
  • For designing experiments with AI-generated protocols.
  • To synthesize literature and generate research directions.
  • When validating hypotheses through computational experiments.

Source Doc

Excerpt From SKILL.md

Core Capabilities

  1. Multi-Agent Research: Coordinate specialized AI scientists.

  2. Hypothesis Generation: Generate testable research hypotheses.

  3. Experimental Design: Design in silico and wet lab experiments.

  4. Literature Synthesis: Comprehensive research landscape analysis.

  5. Computational Validation: Test hypotheses computationally.

  6. Research Documentation: Auto-generate papers and reports.

Virtual Lab Team

Agent RoleExpertiseResponsibilities
Principal InvestigatorStrategy, oversightDirection, prioritization
ImmunologistImmune biologyDomain expertise
Computational BiologistBioinformaticsData analysis
Machine Learning SpecialistAI/ML methodsModel development
Scientific CriticValidationQuality control

Research Workflow

PhaseActivitiesOutput
IdeationLiterature review, gap identificationHypotheses
PlanningExperimental design, resource allocationProtocol
ExecutionComputational experimentsRaw results
AnalysisStatistical analysis, interpretationFindings
SynthesisPaper writing, visualizationPublication-ready

Use cases

  • When exploring new research hypotheses autonomously.
  • For designing experiments with AI-generated protocols.
  • To synthesi.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • Digital_Twin_Clinical_Agent - Patient simulation
  • scFoundation_Model_Agent - Single-cell analysis
  • CryoEM_AI_Drug_Design_Agent - Structure-based design
  • PROTAC_Design_Agent - Degrader design

Related skills

Related skills

Back to directory
AS
Data & ReproMaterials, Engineering & Simulation

Astropy

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy…

Claude CodeAnalysis
K-Dense-AI/claude-scientific-skillsView
CO
Data & ReproMaterials, Engineering & Simulation

convergence-study

Spatial and temporal convergence analysis with Richardson extrapolation and Grid Convergence Index (GCI) for solution verification.

OpenClawNanoClawAnalysis
FreedomIntelligence/OpenClaw-Medical-SkillsView
DI
Data & ReproMaterials, Engineering & Simulation

differentiation-schemes

Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes,…

OpenClawNanoClawAnalysis
FreedomIntelligence/OpenClaw-Medical-SkillsView
FL
Data & ReproMaterials, Engineering & Simulation

FluidSim

FluidSim is an object-oriented Python framework for high-performance computational fluid dynamics (CFD) simulations. It provides solvers for…

Claude CodeAnalysis
K-Dense-AI/claude-scientific-skillsView