Sensitivity Analysis (UQ)
SkillDev toolsGlobal sensitivity analysis methods
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Sensitivity Analysis (UQ) skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mathematics/skills/sensitivity-analysis-uq/SKILL.md and read by ahel’s review.
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
- Method Selection: Choose based on computational budget
- Input Ranges: Define appropriate input ranges
- Sample Size: Ensure sufficient samples for convergence
- Interpretation: Correctly interpret sensitivity indices
Tools/Libraries
- SALib
- OpenTURNS
- UQLab
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
sensitivity-analysis-uq- Source
- github.com/a5c-ai/babysitter