Back to skills
SKILL.md
Temu Shein Selector
ASecurityTemu, SHEIN, AliExpress, and TikTok product selection big data analysis agent. Identify trending products, analyze competition, estimate demand, and find sourcing opportunities across fast-fashion and marketplace platforms. Triggers: temu product selection, shein product research, aliexpress trending, tiktok shop products, temu selector, fast fashion products, temu trending, shein trends, product sourcing, dropshipping products, temu winning products
- 2 stars
- 0 votes
- 0 copies
- 0 views
- Added October 6, 2026
Works with
Security analysis
100/100Pro scans all 3 files and shows the line behind each finding
npx -y skills add aAAaqwq/openclaw-team --skill temu-shein-selector --agent claude-codeAre you the author of Temu Shein Selector?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/aaaaqwq-temu-shein-selector)---
name: temu-shein-selector
description: "Temu, SHEIN, AliExpress, and TikTok product selection big data analysis agent. Identify trending products, analyze competition, estimate demand, and find sourcing opportunities across fast-fashion and marketplace platforms. Triggers: temu product selection, shein product research, aliexpress trending, tiktok shop products, temu selector, fast fashion products, temu trending, shein trends, product sourcing, dropshipping products, temu winning products"
allowed-tools: Bash
metadata:
openclaw:
homepage: https://github.com/mguozhen/temu-shein-selector
---
# Temu / SHEIN / AliExpress / TikTok Product Selector
Big data-driven product selection for the world's fastest-growing e-commerce platforms. Identify trending products before the market saturates, analyze competition levels, and find winning items to source.
## Commands
```
select temu <category> # find trending products on Temu
select shein <category> # identify SHEIN trending items
select ali <keyword> # AliExpress trending product analysis
select tiktok <niche> # TikTok Shop viral product identification
select score <product> # score a product for multi-platform potential
select compare <platform1> <platform2> # compare same product across platforms
select trending # daily trending products across all platforms
select source <product> # sourcing recommendations for a product
select entry <product> # market entry analysis for new product
select report <product> # full cross-platform product report
```
## What Data to Provide
- **Platform and category** — which platform and what type of product
- **Trending data** — paste Temu/SHEIN/TikTok trending product listings
- **Sales data** — units sold, reviews, orders shown on listing
- **Price data** — selling price and estimated cost from Alibaba
- **Competition data** — number of similar sellers, listing quality
## Product Selection Framework
### Temu Product Selection
**Temu business model specifics:**
- Seller provides cost price; Temu sets final price
- Margin = (Temu settlement price) - (your cost) - (shipping)
- Temu promotes heavily discounted items → need low COGS
- Quality standard enforcement — defect rate must stay <2%
**Temu winning product criteria:**
```
[ ] Alibaba cost price <$2 for sub-$10 Temu item (>50% margin)
[ ] Product weight <200g (shipping cost critical)
[ ] Not restricted category (no food, meds, hazmat)
[ ] Strong visual appeal (drives Temu browse behavior)
[ ] Unique or trending design (not commodity)
[ ] High order count on similar items (>500 orders = validated)
[ ] Manageable defect risk (simple product = low defect rate)
```
**Temu category opportunities:**
```
High opportunity: Home decor, phone accessories, jewelry, pet products
Medium opportunity: Clothing basics, kitchen gadgets, toy novelties
Avoid: Electronics (high defect/return), perishables, fragile items
```
### SHEIN Product Selection
**SHEIN model**: Fast fashion, 2-week trend cycles
- New styles added daily — trend speed is extreme
- Small batch production (50-100 units) acceptable
- Quality threshold: acceptable for fast fashion price point
**SHEIN winning product signals:**
```
[ ] Fashion-forward design (1-2 weeks ahead of mainstream)
[ ] Price point: $5-$25 sweet spot
[ ] Minimum 4 sizes (S/M/L/XL)
[ ] Photogenic — strong visual on model
[ ] Trending color/print for the season
[ ] Similar items already selling on SHEIN (validation)
[ ] Sourceable quickly (2-4 week turnaround)
```
**Trend identification for SHEIN:**
- Monitor TikTok fashion hashtags (#OOTD, #fashiontrend)
- Check Pinterest trending boards weekly
- Analyze SHEIN "New In" and "Trending" sections
- Use Google Trends for fashion terms
### AliExpress Product Selection
**AliExpress modes:**
- Dropshipping: sell first, ship directly from supplier
- Wholesale: buy inventory, ship yourself
- Hybrid: test with dropship, transition to stock
**AliExpress opportunity signals:**
```
Monthly orders >500: Validated demand
Price margin >60%: Viable for dropshipping
Seller rating >95%: Reliable supplier
Shipping time <15d: Acceptable for most buyers
Reviews >100: Product quality validated
Rising trend: Look for 20%+ order growth over 3 months
```
**Finding trending AliExpress products:**
1. Sort by "Orders" in category — find high-velocity items
2. Filter by "Ship from overseas" for faster delivery
3. Compare with Temu listings — if on Temu already at lower price, competition may be hard
4. Check launch date — recent listings with high orders = catching a trend
### TikTok Shop Product Selection
**TikTok virality requirements:**
- Product must be demonstrable in 15-60 seconds
- "Before/after" or "transformation" products perform best
- Visual impact critical (color, size reveal, satisfying mechanism)
- Relatable problem → satisfying solution format
**TikTok winning product formula:**
```
TREND × DEMO POTENTIAL × PRICE POINT = Viral Score
Trend: Is it already viral? Google Trends rising?
Demo Potential: Can you show compelling results in <30 seconds?
Price Point: $10-$40 impulse buy range
```
**TikTok product categories with high viral rates:**
- Beauty gadgets (face massagers, skin tools)
- Kitchen novelties (unique tools, organizers)
- Cleaning products (satisfying demo)
- Fitness accessories (visible results)
- Home organization (before/after)
- Fashion accessories (quick styling tips)
### Cross-Platform Scoring Matrix
Score any product 1-5 on 6 dimensions:
```
1. Trend momentum (growing fast = 5, declining = 1)
2. Competition density (low competition = 5, saturated = 1)
3. Margin potential (>60% margin = 5, <20% = 1)
4. Sourcing ease (readily available = 5, custom only = 1)
5. Shipping friendliness (light/compact = 5, heavy/fragile = 1)
6. Demo/visual appeal (very photogenic = 5, boring = 1)
Total score 25+: Strong multi-platform candidate
Total score 20-24: Good for 1-2 platforms
Total score <20: Likely not worth pursuing
```
### Sourcing Intelligence
For any trending product, sourcing approach:
```
Step 1: Search Alibaba with product category terms
Step 2: Filter: Trade Assurance + >2 years in business + >4.5 rating
Step 3: Get quotes from 5+ suppliers
Step 4: Request samples before ordering (never skip)
Step 5: Negotiate: first order small (100-500 units), grow from there
Target sourcing cost: <25% of final selling price for Amazon
<40% of Temu settlement price
<30% of SHEIN wholesale price
```
## Workspace
Creates `~/product-selection/` containing:
- `trending/` — daily trending product snapshots by platform
- `evaluated/` — scored product evaluations
- `sourcing/` — supplier notes and quotes
- `pipeline/` — products under active consideration
- `reports/` — platform-specific product reports
## Output Format
Every product selection report outputs:
1. **Product Score Card** — scores on all 6 dimensions with total
2. **Platform Fit Analysis** — which platform(s) best suited and why
3. **Revenue Projection** — estimated monthly revenue at target sell-through
4. **Margin Model** — cost, fees, and net profit per unit
5. **Sourcing Guide** — recommended supplier type, MOQ, target cost
6. **Competition Assessment** — current competition level and trend direction
7. **Go/No-Go Verdict** — clear recommendation with top 3 reasons
Files in this skill
- .clawhub/origin.json
- SKILL.md
- _meta.json
Attribution
Comments
Loading comments…