About market-scenario-modeler
A modeling skill for turning research findings into financial scenarios and planning inputs. It supports finance, product, and executive stakeholders with documented assumptions, scenario comparisons, sensitivity analysis, and decision triggers.
Key features
- 01Auditable assumption library
- 02Base, upside, and downside cases
- 03Sensitivity analysis and charts
- 04Waterfall, area, and heat-map views
- 05Decision triggers and guardrails
- 06Spreadsheet, slide, and summary templates
Use cases
- 01Stress-testing revenue assumptions
- 02Modeling market adoption scenarios
- 03Preparing investment and planning materials
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/market-scenario-modelerin Claude Code to confirm it loaded.
Details
From the project READMEMarket Scenario Modeler Skill
When to Use
- Translating research findings into financial models and strategic scenarios.
- Stress-testing revenue or adoption assumptions for planning cycles.
- Packaging insights for finance, product, and executive stakeholders.
Framework
- Assumption Library – document data sources, CAGR, penetration, pricing, channel mix.
- Scenario Matrix – base, upside, downside cases with drivers (pricing, win rate, expansion, macro).
- Sensitivity Analysis – tornado charts, Monte Carlo snippets, or sliders for key variables.
- Visualization Layer – waterfall, area, and heat maps tying numbers to narratives.
- Decision Hooks – highlight trigger points, required investments, and guardrails.
Templates
- Spreadsheet/notebook skeleton with clearly named inputs/outputs.
- Slide templates for TAM/SAM/SOM, share shifts, and investment asks.
- One-pager summary translating scenarios into actions and risks.
Tips
- Keep assumptions auditable with source links and timestamps.
- Align with finance on currency, inflation, and exchange assumptions before publishing.
- Pair with
run-market-landscape-studyfor turnkey modeling assets.
Comments
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