dropshipping-product-research
This Claude Code skill analyzes potential dropshipping products across multiple e-commerce platforms by evaluating profitability metrics, supplier reliability, shipping logistics, and competitive landscape. Use it when researching product viability for dropshipping businesses, assessing margins and return risks, or identifying marketing angles for specific niches and sales channels.
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills /tmp/dropshipping-product-research && cp -r /tmp/dropshipping-product-research/dropshipping-product-research ~/.claude/skills/dropshipping-product-researchSKILL.md
# 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](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions. ## Install ```bash 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](https://github.com/nexscope-ai/eCommerce-Skills) Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills) Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
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