Agent-Skills.md

Agent Skills: Sensitivity Analysis (UQ)

Global sensitivity analysis methods

uncertainty-quantificationID: a5c-ai/babysitter/sensitivity-analysis-uq

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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plugins/babysitter/skills/babysit/process/specializations/domains/science/mathematics/skills/sensitivity-analysis-uq/SKILL.md

Skill Metadata

Name
sensitivity-analysis-uq
Description
Global sensitivity analysis methods

Sensitivity Analysis (UQ)

Purpose

Provides global sensitivity analysis methods for understanding model behavior and input importance.

Capabilities

  • Sobol indices computation
  • Morris screening method
  • FAST (Fourier amplitude sensitivity test)
  • Correlation-based sensitivity
  • Derivative-based sensitivity (DGSM)
  • Variance-based decomposition

Usage Guidelines

  1. Method Selection: Choose based on computational budget
  2. Input Ranges: Define appropriate input ranges
  3. Sample Size: Ensure sufficient samples for convergence
  4. Interpretation: Correctly interpret sensitivity indices

Tools/Libraries

  • SALib
  • OpenTURNS
  • UQLab