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Sensitivity analysis toolkit

Skill a5c-ai/babysitter/library/specializations/domains/science/mathematics/skills/sensitivity-analysis-toolkit

Comprehensive sensitivity analysis for optimizationFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill sensitivity-analysis-toolkit

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.2 KB, 135 tokens by cl100k_base, as published. Nobody here has run it

Sensitivity Analysis Toolkit

Purpose

Provides comprehensive sensitivity analysis capabilities for optimization problems to understand solution robustness.

Capabilities

  • Dual variable computation and interpretation
  • Shadow price analysis
  • Parametric programming
  • Binding constraint analysis
  • Post-optimality analysis
  • Robust optimization formulations

Usage Guidelines

  1. Dual Extraction: Obtain dual variables from solvers
  2. Shadow Prices: Interpret marginal values correctly
  3. Parametric Analysis: Study solution changes with parameters
  4. Robustness: Formulate robust counterparts when needed

Tools/Libraries

  • Pyomo
  • JuMP
  • AMPL

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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