Can I use this for non-financial models?

Absolutely. It is highly effective for any system where inputs are uncertain, such as engineering performance models, marketing mix modeling, or project management timelines.

How does this differ from Monte Carlo simulation?

Sensitivity analysis typically tests variables one or two at a time to identify specific drivers, whereas Monte Carlo simulations test many variables simultaneously using probability distributions.

What is the primary goal of the Sensitivity Analysis skill?

The primary goal is to determine 'what matters most' in a model by systematically varying inputs to see how they impact the final result, highlighting where model risk is highest.

What industries benefit most from this Claude Code skill?

It is a canonical framework used heavily in investment banking, corporate strategy, engineering design, pharmaceutical R&D, and supply chain optimization.

Sensitivity Analysis

Name: Sensitivity Analysis
Author: lev-os

bylev-os

0•

Data Science & ML

Performs systematic testing of input variables to identify key drivers and assess model risk across finance, engineering, and strategy.

The Sensitivity Analysis skill provides a structured framework for stress-testing models by measuring how changes in input assumptions affect final outcomes. It helps practitioners move beyond single-point estimates to understand the 'swing weight' of different variables, revealing where risk is concentrated and which factors most influence success. Whether you are building financial valuations, engineering designs, or strategic plans, this skill guides you through defining base cases, setting realistic testing ranges, and visualizing results through tools like Tornado charts and two-way matrices to facilitate better data-driven decisions.

Key Features

01Guidance on Tornado chart and sensitivity matrix visualization

020 GitHub stars

03Frameworks for defining realistic input ranges and thresholds

04Identification of high-impact 'swing weight' variables

05Strategies to avoid common pitfalls like 'one-at-a-time' blindness

06One-way and two-way sensitivity testing workflows

Use Cases

01Stress-testing DCF valuations to identify critical revenue and cost drivers

02Evaluating engineering design trade-offs between component cost and system performance

03Defining 'go/no-go' investment thresholds based on market volatility assumptions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents sensitivity-analysis

For use in Claude.ai and ChatGPT

Download Skill