Sensitivity Analysis Toolkit
SkillDev toolsComprehensive sensitivity analysis for optimization
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
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 Toolkit 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-toolkit/SKILL.md and read by ahel’s review.
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
- Dual Extraction: Obtain dual variables from solvers
- Shadow Prices: Interpret marginal values correctly
- Parametric Analysis: Study solution changes with parameters
- Robustness: Formulate robust counterparts when needed
Tools/Libraries
- Pyomo
- JuMP
- AMPL
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
sensitivity-analysis-toolkit- Source
- github.com/a5c-ai/babysitter