Best use case
sensitivity-analysis-uq is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Global sensitivity analysis methods
Teams using sensitivity-analysis-uq should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/sensitivity-analysis-uq/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How sensitivity-analysis-uq Compares
| Feature / Agent | sensitivity-analysis-uq | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Global sensitivity analysis methods
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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