domains / business / ebay-product-research / ebay-product-research

ebay-product-research

Skill card

combined

The two copies describe the same high-level task (eBay product research) but provide materially different, non-overlapping procedures. The first is a natural-language prompt skill that instructs the agent to analyze completed listings, sell-through rates, competition density, seasonal demand, sourcing opportunities, fees, and trends, and to output structured recommendations. The second is a CLI-style tool with specific commands, parameters, marketplace selection, competitor monitoring, and a paid pricing model. Neither copy contains the other's concrete steps or constraints, so crowning one would hide a real alternative workflow.

Repositories

RepositoryPath
nexscope-ai/eCommerce-Skillsebay-product-research/SKILL.md
LeoYeAI/openclaw-master-skillsskills/ebay-product-research/SKILL.md

Other copies

RoleRepositoryPath
peernexscope-ai/eCommerce-Skillsebay-product-research/SKILL.md
peerLeoYeAI/openclaw-master-skillsskills/ebay-product-research/SKILL.md

Combined skill

# eBay Product Research

Research profitable products to sell on eBay by analyzing completed listings, sell-through rates, average selling prices, competition density, seasonal demand, and sourcing opportunities.

## Inputs
- Category (e.g., electronics, vintage watches)
- Keyword (e.g., wireless earbuds)
- Optional: seller ID for competitor analysis
- Optional: price and cost for profit calculation
- Optional: marketplace/site (US, UK, DE, AU)

## Steps
1. Identify the target category and keyword.
2. Analyze completed listings to determine real selling prices and average selling price.
3. Calculate sell-through rate and compare against category benchmarks.
4. Assess competition density for the category and keyword.
5. Identify seasonal demand patterns and trending products.
6. If a seller ID is provided, perform competitor analysis for that seller.
7. If price and cost are provided, calculate profit margin including eBay fees for the selected marketplace.
8. Identify sourcing opportunities (arbitrage, wholesale, thrift) where applicable.
9. Produce structured recommendations with actionable steps, benchmarks, and platform-specific guidance.

## Output
- Structured product recommendations
- Sell-through rate and price benchmarks
- Competition density assessment
- Seasonal demand and trend notes
- Profit margin estimate (when price/cost provided)
- Sourcing opportunity notes

## Conflicts
- nexscope-ai/eCommerce-Skills: natural-language prompt skill; no CLI, no pricing, no marketplace parameter.
- LeoYeAI/openclaw-master-skills: CLI-based tool with flags, competitor monitoring by seller ID, marketplace selection, and a paid per-use pricing model (¥8/次, first use free).