eCommerce-Skills

为什么要用

核心特性

Product research: demand signals, competition, margin sanity checks
Listing optimization (titles, bullets, images, A+ content)
Pricing/margin analysis with BSR and fee awareness
Marketing automation drafts (email, social, ads)
Supply chain (MOQ, lead time, COGS) workflows
Cross-platform: Amazon, Shopify, Etsy, TikTok Shop

实时演示

实际使用效果

ecommerce-skill.replay ▶ 就绪

0/0

安装

作者仓库 · Claude Skills 官方文档

使用场景

实战用法： eCommerce-Skills

How to validate a product idea across platforms

👤 Sellers evaluating a new SKU ⏱ ~45 min intermediate

何时使用： You have a product idea; you need to sanity-check demand, competition, and margin before ordering inventory.

步骤

Frame the product

Validate 'reusable silicone food bags' across Amazon + Etsy + TikTok Shop. Want: demand signal, top 5 competitors per platform, typical price, estimated margin.✓ 已复制

→ Per-platform table with demand/competition/margin
Gap analysis

Where's the positioning gap per platform?✓ 已复制

→ Platform-specific angle recommendations

结果： A go/no-go on the product with platform-specific positioning.

注意事项

Hallucinated BSR / review counts — Require source URLs; reject numbers without them

搭配使用： amazon-skill

Optimize a Shopify or Amazon listing

👤 Sellers with an existing underperforming listing ⏱ ~30 min beginner

何时使用： Listing is live but not converting.

步骤

Paste the current listing

Optimize this listing: [paste title, bullets, description]. Target: 25-40 yo moms buying reusable storage.✓ 已复制

→ Rewritten title + bullets with rationale
A+ content draft

Draft 5 A+ content modules for this product focused on benefits over features.✓ 已复制

→ Module-by-module briefs

结果： A stronger listing ready to AB-test against current.

注意事项

Generic copy — Feed 3 of your best existing listings as voice anchors

搭配使用： amazon-skill

Price a new SKU with fees and margin in mind

👤 Sellers setting prices that don't lose money ⏱ ~15 min beginner

何时使用： New SKU or repricing — you want to know the floor and psychologically optimal price.

步骤

Feed cost structure

COGS $4.20, FBA fees $5.80, referral 15%, target margin 25%. What's the floor price? Psychological pricing around $14.99 vs $19.99?✓ 已复制

→ Floor + sensitivity analysis + recommendation

结果： A defensible price anchor with a floor you won't break.

搭配使用： amazon-skill

Draft a week of marketing for a launch

👤 Solo sellers launching a SKU across channels ⏱ ~60 min intermediate

何时使用： Launch week; email list + 2 social channels to feed.

步骤

Plan

Plan a 5-day launch: day 1 teaser, day 2 announcement, day 3 social proof, day 4 bundle, day 5 last chance.✓ 已复制

→ Day-by-day plan
Draft

Now draft the email and the 2 social posts for each day.✓ 已复制

→ Full 15-piece pack

结果： A launch pack ready to schedule.

搭配使用： ai-marketing-claude-code-skill

组合

与其他 MCP 搭配，撬动十倍杠杆

ecommerce-skill + amazon-skill

Ecommerce general, Amazon skill for Amazon-specific depth

Use ecommerce-skill for cross-platform research, then amazon-skill for PPC strategy on the winning SKU.✓ 已复制

ecommerce-skill + ai-marketing-claude-code-skill

Ecommerce launches drive campaigns

Plan the product launch with ecommerce-skill, then execute campaigns with ai-marketing-skill.✓ 已复制

ecommerce-skill + event-tracking-skill

Instrument the Shopify store to track funnel

Set up GA4 events on the launch landing page with event-tracking before driving traffic.✓ 已复制

工具

此 MCP 暴露的能力

工具	输入参数	何时调用	成本
Product research	-	Before ordering inventory	Claude tokens
Listing optimization	-	Underperforming listings	Claude tokens
Pricing analysis	-	Setting or repricing	Claude tokens
Marketing automation	-	Launches and promos	Claude tokens
Supply chain	-	Reorder decisions	Claude tokens

成本与限制

运行它的成本

API 配额: None
每次调用 Token 数: 10-30k for full research
费用: Free
提示: Scope research to 1-2 platforms at a time rather than all four.

安全

权限、密钥、影响范围

凭据存储： No credentials

数据出站： Prompts and any pasted listing content go to Claude

Don't paste confidential supplier pricing into prompts if your Claude workspace allows training.

故障排查

常见错误与修复

Numbers look invented

Require URLs for every numeric claim (BSR, review count, price)

Platform-specific conventions ignored (Amazon bullets limit, etc.)

Explicitly invoke the platform: 'Amazon US bullets, 500 chars max each'

替代方案