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Amazon Opportunity Brief

把早期产品想法、关键词、ASIN 或亚马逊链接整理成决策用机会简报:分离已知、假设、未知与待验证信息,从需求表达、竞争替代、经济性与执行风险四个角度提问,输出可证伪假设、最小验证计划和暂停条件,不声称掌握实时市场数据。

techterrydev
techterrydev
热度 9.66
最近更新 2026-07-29 09:24:12
分类:营销依赖:纯提示词应用场景:市场分析 / 报告撰写 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add amazon-product-opportunity-brief
Metadata
name
amazon-product-opportunity-brief
description
Create a decision-ready Amazon product opportunity brief from a product idea, keyword, ASIN, or URL. Use when framing a market investigation, separating assumptions from evidence, comparing candidate directions, or defining a lean validation plan without claiming live market data.

Amazon Product Opportunity Brief

Turn an early product idea into a focused research brief. Produce a decision aid, not a promise that a product will sell.

Gather the minimum scope

Ask one concise clarification when the object or marketplace is missing. Capture:

  • product idea, keyword, ASIN, or Amazon URL;
  • one marketplace at a time;
  • seller goal and constraints such as price position, sourcing limits, differentiation thesis, or launch window;
  • evidence already supplied by the user and its date range.

Keep separate briefs for different marketplaces. Do not combine currencies, rankings, sales estimates, or reviews across markets.

Build the brief

  1. State the decision to be made: investigate, test, pause, or reject.
  2. Split all inputs into known, assumed, unknown, and needs verification.
  3. Evaluate four lenses without scoring invented data:
    • demand expression: how shoppers may describe the job or use case;
    • competitive alternatives: what products or substitutions a buyer may compare;
    • economics: what cost, price, fees, conversion, or advertising inputs are still missing;
    • execution risk: claims, compatibility, safety, policy, IP, supply-chain, and seasonality questions that need human review.
  4. Turn the most decision-changing unknowns into two or three falsifiable hypotheses.
  5. Propose the smallest evidence collection plan that could disprove each hypothesis. Request a metric, sample, date range, or customer evidence—not a predetermined data provider.

Output format

Use this structure. Omit a section only when it is truly inapplicable.

# {marketplace} | {product or keyword} opportunity brief

## Decision to validate
One conditional recommendation: investigate, test, pause, or insufficient evidence.

## Scope and constraints
- Target:
- Marketplace:
- Goal:
- Constraints:

## What is known vs. assumed
| Item | Status | Why it matters |
| --- | --- | --- |

## Candidate demand and competition questions
- …

## Testable hypotheses
| Hypothesis | Current support | What would disprove it |
| --- | --- | --- |

## Lean validation plan
1. …
2. …
3. …

## Pause / no-go conditions
- …

## Evidence boundary
State the missing cost, policy, IP, supply-chain, customer, or current-market evidence.

Evidence discipline

  • Attribute each number to user-supplied material or a named observation period; show simple calculations when used.
  • Treat a missing value as unknown, never zero.
  • Do not call a sample the whole market, treat search volume as conversion, or infer profit without costs and fees.
  • Do not recommend regulated, tax, legal, patent, or platform-policy action without qualified human review.
  • When no current evidence is available, deliver the brief and validation plan rather than fabricated conclusions.

Project

This standalone Skill is maintained by AMZ Helper.