File contents Required Tools
Essential
Tool
Purpose
browser Browser automation for accessing e-commerce platforms
web-scraper Page data extraction (titles, prices, sales, reviews)
xlsx Excel report generation and data processing
exec Execute Python scripts for data cleaning, profit calculation
web_fetch Fetch sourcing prices from 1688/Alibaba International
Optional
Tool
Purpose
pdf Generate professional PDF reports
data-analysis Advanced data analysis and visualization
market-research Market trend analysis (Google Trends, etc.)
Six-Dimension Scoring Model (0-100)
Dimensions & Weights
Dimension
Weight
High Score Criteria
Data Source
Demand Strength 20%
High sales + upward trend
Platform sales + Google Trends
Competition Intensity 20%
Few sellers + fragmented brands
Seller count + brand concentration
Profit Margin 25%
Gross margin >30%
Price - Cost - Fees
Operational Difficulty 15%
Low returns + easy display
Review content + product attributes
Risk Level 15%
Low IP risk + simple compliance
Keyword search + certifications
Opportunity Window 5%
Non-seasonal + upward trend
Listing dates + trend data
Decision Matrix
Score
Risk
Verdict
Action
80-100
Low
✅ Strongly Recommend
Launch immediately, prioritize resources
80-100
Medium
⚠️ Recommend with Caution
Small batch test, validate assumptions
60-79
Low
⚠️ Worth Trying
Monitor competitors, wait for timing
60-79
Med/High
❓ Not Recommended Now
Keep monitoring, re-evaluate later
<60
Any
❌ Avoid
Find alternative categories
Risk Level Definitions
Risk Type
High
Medium
Low
IP Infringement Brand terms / similar appearance
Similar function, no brand
Generic design / public mold
Negative Reviews Rate >15% / quality complaints
Rate 5-15%
Rate <5%
Compliance Requires FDA/CE/CPC
Standard certification
No certification needed
Supply Chain Few sources / price volatility
Stable but high MOQ
Abundant stable sources
Profit Calculation Model
Cost Structure
Selling Price
- Platform Fee (8-20%)
- FBA/Logistics Fee (by size & weight)
- Ad Cost (estimated 10-20%)
- Return Loss (estimated 3-5%)
- COGS (sourcing price)
─────────────────────────────
= Gross Profit
Margin = Gross Profit / Selling Price × 100%
Platform Fee Reference
Platform
Commission
FBA/Logistics
Other
Amazon US
15%
$3-15/item
Storage $0.75+/cu.ft
TikTok Shop US
5%
Self-ship or FBT
No monthly fee
eBay
13.25%
Self-ship mainly
Listing $0.35/item
Shopee
5-6%
Platform logistics
Transaction 2%
Margin Assessment
Margin
Grade
Guidance
>40%
🟢 Excellent
Ample room for ads and promotions
30-40%
🟡 Good
Acceptable, control ad spend
20-30%
🟠 Fair
Higher risk, requires precise operations
<20%
🔴 Poor
Abandon or find lower sourcing
Supported Platforms
E-commerce
Amazon — US/DE/JP/UK/FR/IT/ES/CA/MXTikTok Shop — US/UK/TH/VN/MY/SG/PHeBay — US/UK/DE/AUShopee — TW/TH/VN/MY/SG/PH/IDLazada — TH/VN/MY/SG/PH/IDAliExpress — Global (sourcing reference)
Sourcing (1688/Alibaba International)
Same/similar product pricing
MOQ (Minimum Order Quantity)
Supplier ratings
Shipping origin / logistics time
Output Specifications
Excel Report (5 Sheets)
Sheet 1: Executive Summary
- Analysis parameters
- Decision (Go/Caution/No-Go)
- Overall score
- Top 5 opportunities
- Risk warnings
Sheet 2: Raw Data
- Complete scraped data (with quality marks)
- Sourcing price comparison
- Profit calculation details
Sheet 3: Analysis Summary
- Price distribution (avg/median/range %)
- Sales concentration (top product share)
- Rating distribution & negative keywords
- Seller types (FBA/FBM/Brand/Hijacker)
- New product percentage
Sheet 4: Profit Analysis
- Profit by price range
- Break-even analysis
- Pricing recommendation
- Ad budget suggestion
Sheet 5: Opportunity Ranking
- Six-dimension score details
- Overall ranking
- Recommendation rationale
- Risk level per product
- Suggested actions
Markdown Decision Report
# Product Research Report: [keyword] @ [platform] [site]
## 🎯 Executive Summary
| Item | Content |
|------|---------|
| Products analyzed | 50 |
| Average price | $32.5 |
| Est. profit margin | 28-35% |
| Overall score | 72/100 |
| Risk level | Medium |
| **Decision** | ⚠️ **Proceed with Caution** |
## ✅ Why Recommend
1. Stable demand: 35% sell 2000+/month
2. Viable profit: 30% margin achievable
3. Differentiation: negatives focus on "slip resistance" — improvable
## ⚠️ Risk Warnings
1. Competition: 60% of TOP 50 are brand sellers
2. Review barrier: homepage avg 2000+ reviews
3. Seasonality: Q1 demand relatively flat
## 📊 Six-Dimension Score
| Dimension | Score | Weight | Weighted |
|-----------|-------|--------|----------|
| Demand | 75 | 20% | 15.0 |
| Competition | 55 | 20% | 11.0 |
| Margin | 70 | 25% | 17.5 |
| Difficulty | 65 | 15% | 9.75 |
| Risk | 70 | 15% | 10.5 |
| Opportunity | 60 | 5% | 3.0 |
| **Overall** | - | 100% | **72** |
## 🏆 Top 5 Opportunities
| # | Keywords | Price | Margin | Why |
|---|----------|-------|--------|-----|
| 1 | Eco-friendly cork mat | $35 | 32% | Eco trend, few negatives |
| 2 | Thick knee pad mat | $28 | 30% | Niche, less competition |
## 💡 Action Plan
- **Short-term**: Test 2-3 differentiated designs (50 units)
- **Medium-term**: Scale after 10-20 reviews
- **Long-term**: Brand registry, build moat
Configuration Parameters
Parameter
Default
Description
platform—
Target platform (Amazon/TikTok/eBay/Shopee)
site—
Target site (US/DE/JP/UK)
keyword—
Search keyword
top_n50
Products to collect (20/50/100)
price_minnull
Min selling price
price_maxnull
Max selling price
cost_minnull
Min sourcing cost
cost_maxnull
Max sourcing cost
min_ratingnull
Min rating filter
prime_onlyfalse
Prime/FBA only
max_review_countnull
Max reviews (find new product gaps)
platform_fee_rate15%
Platform commission
ads_cost_rate15%
Ad cost ratio
return_rate4%
Estimated return rate
currencyUSD
Currency
1 --- 2 name: e-commerce-product-scout 3 description: Required Tools 4 --- 5 # Required Tools 6 7 ## Essential 8 | Tool | Purpose | 9 |------|---------| 10 | **browser** | Browser automation for accessing e-commerce platforms | 11 | **web-scraper** | Page data extraction (titles, prices, sales, reviews) | 12 | **xlsx** | Excel report generation and data processing | 13 | **exec** | Execute Python scripts for data cleaning, profit calculation | 14 | **web_fetch** | Fetch sourcing prices from 1688/Alibaba International | 15 16 ## Optional 17 | Tool | Purpose | 18 |------|---------| 19 | **pdf** | Generate professional PDF reports | 20 | **data-analysis** | Advanced data analysis and visualization | 21 | **market-research** | Market trend analysis (Google Trends, etc.) | 22 23 --- 24 25 # Six-Dimension Scoring Model (0-100) 26 27 ## Dimensions & Weights 28 29 | Dimension | Weight | High Score Criteria | Data Source | 30 |-----------|--------|---------------------|-------------| 31 | **Demand Strength** | 20% | High sales + upward trend | Platform sales + Google Trends | 32 | **Competition Intensity** | 20% | Few sellers + fragmented brands | Seller count + brand concentration | 33 | **Profit Margin** | 25% | Gross margin >30% | Price - Cost - Fees | 34 | **Operational Difficulty** | 15% | Low returns + easy display | Review content + product attributes | 35 | **Risk Level** | 15% | Low IP risk + simple compliance | Keyword search + certifications | 36 | **Opportunity Window** | 5% | Non-seasonal + upward trend | Listing dates + trend data | 37 38 ## Decision Matrix 39 40 | Score | Risk | Verdict | Action | 41 |-------|------|---------|--------| 42 | 80-100 | Low | ✅ **Strongly Recommend** | Launch immediately, prioritize resources | 43 | 80-100 | Medium | ⚠️ **Recommend with Caution** | Small batch test, validate assumptions | 44 | 60-79 | Low | ⚠️ **Worth Trying** | Monitor competitors, wait for timing | 45 | 60-79 | Med/High | ❓ **Not Recommended Now** | Keep monitoring, re-evaluate later | 46 | <60 | Any | ❌ **Avoid** | Find alternative categories | 47 48 ## Risk Level Definitions 49 50 | Risk Type | High | Medium | Low | 51 |-----------|------|--------|-----| 52 | **IP Infringement** | Brand terms / similar appearance | Similar function, no brand | Generic design / public mold | 53 | **Negative Reviews** | Rate >15% / quality complaints | Rate 5-15% | Rate <5% | 54 | **Compliance** | Requires FDA/CE/CPC | Standard certification | No certification needed | 55 | **Supply Chain** | Few sources / price volatility | Stable but high MOQ | Abundant stable sources | 56 57 --- 58 59 # Profit Calculation Model 60 61 ## Cost Structure 62 63 ``` 64 Selling Price 65 - Platform Fee (8-20%) 66 - FBA/Logistics Fee (by size & weight) 67 - Ad Cost (estimated 10-20%) 68 - Return Loss (estimated 3-5%) 69 - COGS (sourcing price) 70 ───────────────────────────── 71 = Gross Profit 72 73 Margin = Gross Profit / Selling Price × 100% 74 ``` 75 76 ## Platform Fee Reference 77 78 | Platform | Commission | FBA/Logistics | Other | 79 |----------|------------|---------------|-------| 80 | Amazon US | 15% | $3-15/item | Storage $0.75+/cu.ft | 81 | TikTok Shop US | 5% | Self-ship or FBT | No monthly fee | 82 | eBay | 13.25% | Self-ship mainly | Listing $0.35/item | 83 | Shopee | 5-6% | Platform logistics | Transaction 2% | 84 85 ## Margin Assessment 86 87 | Margin | Grade | Guidance | 88 |--------|-------|----------| 89 | >40% | 🟢 Excellent | Ample room for ads and promotions | 90 | 30-40% | 🟡 Good | Acceptable, control ad spend | 91 | 20-30% | 🟠 Fair | Higher risk, requires precise operations | 92 | <20% | 🔴 Poor | Abandon or find lower sourcing | 93 94 --- 95 96 # Supported Platforms 97 98 ## E-commerce 99 - **Amazon** — US/DE/JP/UK/FR/IT/ES/CA/MX 100 - **TikTok Shop** — US/UK/TH/VN/MY/SG/PH 101 - **eBay** — US/UK/DE/AU 102 - **Shopee** — TW/TH/VN/MY/SG/PH/ID 103 - **Lazada** — TH/VN/MY/SG/PH/ID 104 - **AliExpress** — Global (sourcing reference) 105 106 ## Sourcing (1688/Alibaba International) 107 - Same/similar product pricing 108 - MOQ (Minimum Order Quantity) 109 - Supplier ratings 110 - Shipping origin / logistics time 111 112 --- 113 114 # Output Specifications 115 116 ## Excel Report (5 Sheets) 117 118 ``` 119 Sheet 1: Executive Summary 120 - Analysis parameters 121 - Decision (Go/Caution/No-Go) 122 - Overall score 123 - Top 5 opportunities 124 - Risk warnings 125 126 Sheet 2: Raw Data 127 - Complete scraped data (with quality marks) 128 - Sourcing price comparison 129 - Profit calculation details 130 131 Sheet 3: Analysis Summary 132 - Price distribution (avg/median/range %) 133 - Sales concentration (top product share) 134 - Rating distribution & negative keywords 135 - Seller types (FBA/FBM/Brand/Hijacker) 136 - New product percentage 137 138 Sheet 4: Profit Analysis 139 - Profit by price range 140 - Break-even analysis 141 - Pricing recommendation 142 - Ad budget suggestion 143 144 Sheet 5: Opportunity Ranking 145 - Six-dimension score details 146 - Overall ranking 147 - Recommendation rationale 148 - Risk level per product 149 - Suggested actions 150 ``` 151 152 ## Markdown Decision Report 153 154 ```markdown 155 # Product Research Report: [keyword] @ [platform] [site] 156 157 ## 🎯 Executive Summary 158 | Item | Content | 159 |------|---------| 160 | Products analyzed | 50 | 161 | Average price | $32.5 | 162 | Est. profit margin | 28-35% | 163 | Overall score | 72/100 | 164 | Risk level | Medium | 165 | **Decision** | ⚠️ **Proceed with Caution** | 166 167 ## ✅ Why Recommend 168 1. Stable demand: 35% sell 2000+/month 169 2. Viable profit: 30% margin achievable 170 3. Differentiation: negatives focus on "slip resistance" — improvable 171 172 ## ⚠️ Risk Warnings 173 1. Competition: 60% of TOP 50 are brand sellers 174 2. Review barrier: homepage avg 2000+ reviews 175 3. Seasonality: Q1 demand relatively flat 176 177 ## 📊 Six-Dimension Score 178 | Dimension | Score | Weight | Weighted | 179 |-----------|-------|--------|----------| 180 | Demand | 75 | 20% | 15.0 | 181 | Competition | 55 | 20% | 11.0 | 182 | Margin | 70 | 25% | 17.5 | 183 | Difficulty | 65 | 15% | 9.75 | 184 | Risk | 70 | 15% | 10.5 | 185 | Opportunity | 60 | 5% | 3.0 | 186 | **Overall** | - | 100% | **72** | 187 188 ## 🏆 Top 5 Opportunities 189 | # | Keywords | Price | Margin | Why | 190 |---|----------|-------|--------|-----| 191 | 1 | Eco-friendly cork mat | $35 | 32% | Eco trend, few negatives | 192 | 2 | Thick knee pad mat | $28 | 30% | Niche, less competition | 193 194 ## 💡 Action Plan 195 - **Short-term**: Test 2-3 differentiated designs (50 units) 196 - **Medium-term**: Scale after 10-20 reviews 197 - **Long-term**: Brand registry, build moat 198 ``` 199 200 --- 201 202 # Configuration Parameters 203 204 | Parameter | Default | Description | 205 |-----------|---------|-------------| 206 | `platform` | — | Target platform (Amazon/TikTok/eBay/Shopee) | 207 | `site` | — | Target site (US/DE/JP/UK) | 208 | `keyword` | — | Search keyword | 209 | `top_n` | 50 | Products to collect (20/50/100) | 210 | `price_min` | null | Min selling price | 211 | `price_max` | null | Max selling price | 212 | `cost_min` | null | Min sourcing cost | 213 | `cost_max` | null | Max sourcing cost | 214 | `min_rating` | null | Min rating filter | 215 | `prime_only` | false | Prime/FBA only | 216 | `max_review_count` | null | Max reviews (find new product gaps) | 217 | `platform_fee_rate` | 15% | Platform commission | 218 | `ads_cost_rate` | 15% | Ad cost ratio | 219 | `return_rate` | 4% | Estimated return rate | 220 | `currency` | USD | Currency |
commit 74e688acd7
Frequently asked questions How do I install the E Commerce Product Scout skill? Run npx skillmds@latest add travisleeeeee/e-commerce-product-scout in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
What does the E Commerce Product Scout skill do? Required Tools It is listed under Coding & Dev Tools on SkillMD.
Is E Commerce Product Scout safe to use? This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.
Which AI agents work with E Commerce Product Scout? This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.
Is E Commerce Product Scout free to use? Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.
Who published E Commerce Product Scout? TravisLeeeeee (@travisleeeeee) published this skill. Their other Agent Skills are listed on their SkillMD profile.
TravisLeeeeee