About ads-math
ads-math is a skill for modeling paid-media financial decisions with explicit inputs, formulas, and uncertainty. It helps operators compare scenarios without conflating platform-attributed revenue, business revenue, cash flow, or contribution margin.
Key features
- 01Maps inputs to values or cited evidence
- 02Shows formulas and validates units
- 03Calculates base, downside, and upside cases
- 04Separates revenue, cash flow, and margin
- 05Returns sensitivities and decision implications
Use cases
- 01Estimating paid-media financial outcomes
- 02Comparing scenarios under uncertain inputs
- 03Checking revenue and margin assumptions
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/ads-mathin Claude Code to confirm it loaded.
Details
From the project READMEPaid Media Financial Model
- Identify the decision and collect units, currency, period, tax/refund treatment, margin, attribution basis, and uncertainty.
- Show the formula and map every input to an operator value or cited artifact.
- Validate denominators, sign, missing values, incompatible windows, and unit conversions.
- Calculate base, downside, and upside cases where uncertainty affects the decision.
- Keep platform-attributed revenue, blended business revenue, cash flow, and contribution margin distinct.
- Return machine-readable inputs, formulas, outputs, sensitivities, and decision implications.
Never fabricate missing financial inputs, hide division-by-zero, or present a point forecast without its assumptions.
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