dropshipping-product-research
About dropshipping-product-research
dropshipping-product-research is a research Skill for dropshipping businesses evaluating product opportunities. It assesses viability alongside suppliers, shipping, competition, trends, and marketing potential.
Key features
- 01Product viability scoring
- 02Supplier reliability assessment
- 03Shipping time and cost analysis
- 04Niche competition analysis
- 05Trend longevity checks
- 06Marketing angle identification
Use cases
- 01Screen products for a dropshipping store
- 02Compare supplier and shipping risks
- 03Assess competition in a product niche
- 04Find marketing angles for product listings
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ nexscope-ai/ ecommerce-skills --skill dropshipping-product-researchAfter installing, type/dropshipping-product-researchin Claude Code to confirm it loaded.
Details
From the project READMEDropshipping Product Research 📦
Product research for dropshipping businesses. Identify profitable products with reliable suppliers, healthy margins, and manageable competition. Evaluates shipping times, return risk, and marketing viability.
Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
Install
npx skills add nexscope-ai/eCommerce-Skills --skill dropshipping-product-research -g
Usage
Help me find dropshipping products in the pet accessories niche. Budget is $2000 to start. I want to sell via Shopify with Meta ads.
Capabilities
- Product viability scoring for dropshipping (margin, weight, fragility, return risk)
- Supplier reliability assessment framework
- Shipping time and cost analysis by origin/destination
- Marketing angle identification (social media, paid ads, SEO)
- Competition analysis specific to dropshipping niches
- Trend validation and longevity assessment
How This Skill Works
Step 1: Collect information from the user's message — product, platform, current situation, and goals.
Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
Step 3: Research and analyze using the frameworks and methodology below.
Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
Output Format
- Start with a summary of findings
- Include specific data points and benchmarks where available
- Provide prioritized action items
- Mark estimates with ⚠️ when based on incomplete data
- End with concrete next steps
Other Skills
More e-commerce skills: nexscope-ai/eCommerce-Skills
Amazon-specific skills: nexscope-ai/Amazon-Skills
Built by Nexscope — your AI assistant for smarter e-commerce decisions.