Individual skill
price-optimization-tool
Evaluate ecommerce price candidates using unit economics, historical observations, elasticity analysis, scenario modeling, and controlled experiments. Use when a seller asks what price to test, how price changes could affect contribution or revenue, how to estimate elasticity, how to optimize a bundle or tier, or how to design a price experiment across Amazon, Shopify, TikTok Shop, Walmart, eBay, or other channels. Do not claim a proven optimal price without sufficient clean data, and do not change live prices without explicit authorization.
price-optimization-tool/SKILL.md
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- agent-skills Repository topic
- ai Repository topic
- ai-agent-skills Repository topic
- ai-agents Repository topic
- amazon-seller-tools Repository topic
- claude-code-skills Repository topic
- claude-skills Repository topic
- ecommerce Repository topic
- openclaw-skills Repository topic
- shopify-tools Repository topic
- design Derived category
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- testing Derived category
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# Price Optimization Tool
Build an evidence-bounded price decision from seller economics and observed behavior, then recommend a reversible test or rollout with explicit uncertainty.
## Installation
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill price-optimization-tool -g
```
## Capabilities
- Audit price, demand, traffic, promotion, cost, and inventory data for comparability.
- Calculate contribution economics and hard candidate-price constraints.