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amazon-fba-product-finder亚马逊 FBA 产品查找器

Agent Skill

amazon-fba-product-finder 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,847

周安装

198

GitHub Stars

公开资料未说明

下载量

1,568
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amazon-fba-product-finder(亚马逊 FBA 产品查找器)
来源仓库:https://github.com/mguozhen/amazon-fba-product-finder
安装命令:
openclaw skills install amazon-fba-product-finder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install amazon-fba-product-finder

简介

查找有利可图的 FBA 产品,提取排名、销量、收入与利润潜力。

  • 适用于亚马逊卖家筛选高潜力新品或优化选品策略。
  • 通过关键词和竞争分析快速定位候选产品。
  • 安装命令:openclaw skills install amazon-fba-product-finder。
  • 需确认权限范围及是否触发联网或数据抓取。

SKILL.md

name
amazon-fba-product-finder
description
Amazon FBA product research agent. Find profitable FBA products — extract rank, sales volume, estimated revenue, competition score, and profit potential without entering every product page. Inspired by Jungle Scout methodology. Triggers: fba product research, jungle scout, amazon product finder, fba opportunity, product research, amazon niche finder, product validation, fba profit, sales estimate, revenue estimate, product opportunity score, amazon sourcing
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-fba-product-finder

Amazon FBA Product Finder

Research Amazon FBA product opportunities like a pro. Analyze rank, sales volume, estimated revenue, and competition score to validate products before sourcing — no tool subscription required.

Paste product data from Amazon search results or product pages. The agent validates opportunity and outputs a go/no-go recommendation with full reasoning.

Commands

find research <product-idea>      # research a product idea end-to-end
find validate <data>              # validate product with pasted Amazon data
find score <product>              # compute opportunity score for a product
find market <keyword>             # analyze top 10 results for a search term
find revenue <asin> <bsr>         # estimate monthly revenue from BSR
find compare <product1> <product2># compare two product opportunities
find niche <category>             # identify niches within a category
find checklist <product>          # run 10-point FBA viability checklist
find report <product>             # full product research report
find save <product>               # save research to workspace

What Data to Provide

  • Product idea / keyword — what you want to research
  • Amazon search results data — titles, prices, BSRs, review counts from the page
  • Category — main category (used for BSR-to-sales conversion)
  • Your target price point — expected selling price
  • Sourcing context — where you plan to source (Alibaba, domestic, etc.)

Product Research Framework

Step 1: Market Size Estimation

Estimate monthly revenue for the top 10 results:

  • Total market revenue = sum of estimated monthly revenue for top 10 listings
  • Healthy market: Top 10 generate $50,000-$500,000/month combined
  • Too small (<$30k): Limited opportunity
  • Too large (>$1M): Possibly too competitive for new entrant

Step 2: BSR to Sales Volume Conversion

Estimated monthly sales by category and BSR:

Category: Kitchen & Home
BSR 1-100:      8,000-50,000 units/month
BSR 100-500:    2,000-8,000 units/month
BSR 500-1000:   800-2,000 units/month
BSR 1000-3000:  300-800 units/month
BSR 3000-10000: 100-300 units/month
BSR 10000+:     <100 units/month

Category: Sports & Outdoors
BSR 1-100:      5,000-30,000 units/month
BSR 100-500:    1,500-5,000 units/month
BSR 500-2000:   500-1,500 units/month
BSR 2000-5000:  150-500 units/month
BSR 5000-15000: 50-150 units/month

Adjust by ±30% based on seasonality and listing quality.

Step 3: Competition Analysis

Assess the top 10 listings:

SignalGreenYellowRed
Avg reviews<200200-500>500
Review gap (1st vs 10th)<5x5-20x>20x
Listing qualityPoor-MediumMediumExcellent
Brand dominance0 brands in top 51-2 brands3+ same brands
Price range$10-$50$5-$10 or $50-$100<$5 or >$100

Step 4: Product Opportunity Score (POS)

Score 0-100 based on 10 factors:

1. Search volume (keyword demand)        0-10 pts
2. Revenue potential (top 10 combined)   0-10 pts
3. Competition gap (review accessibility) 0-10 pts
4. Margin potential (price vs. cost)     0-10 pts
5. Product simplicity (risk of defects)  0-10 pts
6. Differentiation potential             0-10 pts
7. Seasonal stability                    0-10 pts
8. Sourcing accessibility               0-10 pts
9. Regulatory risk (no hazmat/IP issues) 0-10 pts
10. Growth trajectory                   0-10 pts

POS 75+:  Strong opportunity — proceed to sourcing
POS 60-74: Moderate opportunity — validate further
POS 45-59: Weak opportunity — significant risks
POS <45:  Pass — not worth pursuing

Step 5: 10-Point FBA Viability Checklist

[ ] 1. Price $15-$70 (sweet spot for FBA margins)
[ ] 2. Lightweight <2 lbs (keeps FBA fees manageable)
[ ] 3. Small dimensions (standard-size, not oversize)
[ ] 4. No seasonal dependency (sells year-round)
[ ] 5. No brand dominance in top 10 (room for new sellers)
[ ] 6. Top seller has <500 reviews (achievable competition)
[ ] 7. Estimated monthly revenue $5,000+ (viable market)
[ ] 8. Clear differentiation opportunity (can improve on top listings)
[ ] 9. No dangerous goods / fragile items
[ ] 10. Sourceable on Alibaba for <30% of selling price

FBA Fee Structure

Referral fee:     8-15% of selling price (varies by category)
FBA fulfillment:
  Small standard: $3.22 (≤16oz) to $4.37 (≤1lb)
  Large standard: $5.42 (≤1lb) to $9.73 (≤20lb)
Storage fee:
  Standard:       $0.87/cubic foot (Jan-Sep)
                  $2.40/cubic foot (Oct-Dec)

Quick check: Target 25-35% net margin after all fees

Margin Calculation Template

Selling price:        $XX.XX
- Referral fee (15%): $XX.XX
- FBA fee:            $XX.XX
- COGS (incl. ship):  $XX.XX
- PPC cost (est. 15%): $XX.XX
= Net profit per unit: $XX.XX
= Net margin:          XX%

Minimum viable margin: 20% net

Workspace

Creates ~/fba-research/ containing:

  • opportunities/ — validated product research reports
  • rejected/ — products considered but passed
  • pipeline/ — products under active consideration
  • sourcing/ — supplier notes linked to products

Output Format

Every product research outputs:

  1. Product Overview — name, category, price range, estimated market size
  2. Opportunity Score — POS out of 100 with factor breakdown
  3. Top 10 Competitive Landscape — table of top listings with key metrics
  4. Revenue Estimate — range of monthly revenue at various BSR positions
  5. Margin Analysis — expected net profit per unit at target price
  6. Viability Checklist — pass/fail on all 10 criteria
  7. Go/No-Go Recommendation — clear verdict with reasoning
  8. Next Steps — if go: sourcing plan; if no-go: why and what to look for instead

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能力 4

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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