scenario-planning-engine

Construct structured what-if scenario models for CPG strategic planning.

1|1|Updated Feb 19, 2026

Search Tags:#strategic planning #scenario planning #sensitivity analysis #decision trees #monte carlo simulation #cpg

Ready to run

npx skills add https://github.com/GoldenZero/skills --skill scenario-planning-engine-goldenzero

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scenario-planning-engine
Source: https://github.com/GoldenZero/skills/tree/main/skills/scenario-planning-engine
Command: npx skills add https://github.com/GoldenZero/skills --skill scenario-planning-engine-goldenzero

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps CPG strategists build rigorous "what if" scenario models to quantify potential outcomes for critical business decisions, reducing uncertainty and improving strategic choices.

Core Features & Use Cases

Probabilistic Modeling: Utilizes Monte Carlo simulations and sensitivity analysis to understand the range of potential results.
Decision Support: Provides structured frameworks (decision trees, scenario comparison) to aid in complex strategic planning.
Use Case: A CPG company can use this Skill to model the impact of a potential 5% increase in raw material costs on profitability, considering various demand elasticities and competitor responses.

Quick Start

Use the scenario-planning-engine skill to build a what-if scenario model for a pricing change decision.

Frequently Asked Questions about scenario-planning-engine

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I model the impact of raw material cost volatility on CPG profitability?▼

Build decision tree models for CPG market disruptions by mapping strategic decisions against probabilistic outcomes to quantify risk-adjusted recommendations. This framework structures complex market variables into clear scenario comparisons for strategic planning.

What is the best way to run sensitivity analysis for strategic pricing changes?▼

Run sensitivity analysis for pricing changes by applying tornado analysis to deterministic scenario models and identifying the variables with the greatest impact on profitability. This isolates critical factors driving financial outcomes.

Can I use Monte Carlo simulation for CPG capacity planning decisions?▼

You can use Monte Carlo simulation for CPG capacity planning by running probabilistic sampling across demand scenarios to generate quantitative projections. This reveals the range of potential operational outcomes and constraints.

How do I build a what-if scenario model for market disruptions?▼

Build a what-if scenario model for market disruptions by structuring decision trees that map strategic choices against probabilistic market variables. This delivers quantitative projections and risk-adjusted recommendations.

When should I use probabilistic analysis instead of deterministic scenario construction?▼

Use probabilistic analysis when facing commodity cost volatility or uncertain competitor responses, whereas deterministic scenario construction suits fixed pricing change variables. Combining both yields comprehensive quantitative projections.