Temu Shein Selector
by @mguozhen
Temu, SHEIN, AliExpress, and TikTok product selection big data analysis agent. Identify trending products, analyze competition, estimate demand, and find sou...
clawhub install temu-shein-selectorπ About This Skill
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 # find trending products on Temu
select shein # identify SHEIN trending items
select ali # AliExpress trending product analysis
select tiktok # TikTok Shop viral product identification
select score # score a product for multi-platform potential
select compare # compare same product across platforms
select trending # daily trending products across all platforms
select source # sourcing recommendations for a product
select entry # market entry analysis for new product
select report # full cross-platform product report
What Data to Provide
Product Selection Framework
Temu Product Selection
Temu business model specifics:
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
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 β 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:
AliExpress Product Selection
AliExpress modes:
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 β find high-velocity items 2. Filter by "Ship from overseas" for faster delivery 3. Compare with Temu listings β if on Temu already at lower price, competition may be hard 4. Check launch date β recent listings with high orders = catching a trend
TikTok Shop Product Selection
TikTok virality requirements:
TikTok winning product formula:
TREND Γ DEMO POTENTIAL Γ PRICE POINT = Viral ScoreTrend: 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:
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 thereTarget 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/ β daily trending product snapshots by platformevaluated/ β scored product evaluationssourcing/ β supplier notes and quotespipeline/ β products under active considerationreports/ β platform-specific product reportsOutput Format
Every product selection report outputs: 1. Product Score Card β scores on all 6 dimensions with total 2. Platform Fit Analysis β which platform(s) best suited and why 3. Revenue Projection β estimated monthly revenue at target sell-through 4. Margin Model β cost, fees, and net profit per unit 5. Sourcing Guide β recommended supplier type, MOQ, target cost 6. Competition Assessment β current competition level and trend direction 7. Go/No-Go Verdict β clear recommendation with top 3 reasons