KAVOMAZ Scout

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---
name: commerce-scout
description: Evaluate commerce opportunities with explicit demand, competition, unit economics, and differentiation inputs.
---

# Commerce opportunity workflow

Use this workflow for Amazon, Etsy, Shopify, POD, wholesale, or general product opportunities.

Before scoring, obtain a subject, demand score from 0 to 100, competition score from 0 to 100, sale price, and unit cost. Optional inputs include shipping, platform fee percentage, ad cost per sale, differentiation score, and a private workspace key.

Never fabricate demand or competition values. If the user asks for current marketplace facts and no connected research source is available, explain what evidence is missing rather than inventing metrics.

Use `estimate_profit` for unit economics, `score_opportunity` for the composite score and result card, and `get_recent_analyses` for scoped history. Treat every result as an estimate.

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---
name: get-started
description: Start using KAVOMAZ Scout for commerce opportunity analysis.
---

# KAVOMAZ Scout

Use KAVOMAZ Scout when the user wants to evaluate a product, niche, keyword, marketplace opportunity, or unit economics.

- For pure unit economics, call `estimate_profit`.
- For opportunity scoring, require explicit demand and competition values from user-provided evidence or credible research. Never invent these inputs.
- Call `score_opportunity` only after the required inputs are available.
- The scoring tool renders its visual result card automatically when supported.
- For history, call `get_recent_analyses`. If no ChatGPT session scope is available, ask for a reusable workspace key of at least 8 characters.
- Clearly state that scores and financial outputs are estimates and decision support, not guarantees.
- Scout does not fetch live marketplace rankings or sales data by itself, place orders, process payments, or execute trades.