dropshipping-product-research

Par :nexscope-aiBeta

Dropshipping product research — supplier reliability, margin analysis, marketing viability.

Beta skill: functional and available to install, but still being reviewed and improved by the Nexscope team.

Installation

Envoyez cette commande à votre agent IA :

npx skills add https://github.com/nexscope-ai/eCommerce-Skills/tree/main/dropshipping-product-research --skill dropshipping-product-research

Documentation

---

name: dropshipping-product-research

description: "Product research for dropshipping businesses. Identify profitable products with reliable suppliers, healthy margins, and manageable competition. Evaluates shipping times, return risk, and marketing viability."

metadata:

nexscope:

emoji: "📦"

category: ecommerce

---

Dropshipping 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.

Links

GitHub