Pricing toolkit

Pricing and demand skills for estimating price and promotion elasticities, setting prices from willingness-to-pay research, and designing segment prices, tiers, bundles and product-line ladders.

Part of Business Analytics Skills, a set of agent skills that make an AI assistant work like a decision scientist and an advisor. Each skill asks what the work is for only when the answer would change the result, follows a real method step by step, runs a check wherever there is logic to verify, and hands back a plain-language brief plus a technical appendix.

Skills (3)

• price-elasticity-estimation: Measure how sales respond to price and promotions, and turn the answer into a pricing call.
• pricing-structure-design: Design how prices differ across customers, versions and bundles so more value is captured without the low price leaking to everyone.
• willingness-to-pay-research: Set prices from what customers say or show they will pay: design the willingness-to-pay research, turn responses into demand at each price, and find the revenue- or profit-maximising price for each….

Use

Skills load by themselves when a request matches. Ask a normal work question; to call one directly, type / and the skill name in Claude Code, Cursor or Copilot, or $ and the name in Codex.

What it runs

Instructions only, plus small optional Python checks (scripts/, standard library, numpy, pandas or scikit-learn) that read only the file you point them at. Nothing here reads credentials, environment secrets or your files on its own, makes network calls, or sends data anywhere.

Licence

MIT. Source and issues: https://github.com/moheetsubudhi-isb/business-analytics-skills