Shopify e-commerce platform marketing expertise. Audit store performance, optimize conversion funnels, configure tracking, and integrate marketing tools. Use when the user asks about Shopify, e-commerce optimization, Shopify analytics, store conversion, product feeds, or Shopify app integrations.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Expert-level guidance for Shopify — optimizing store conversion, marketing integrations, analytics, product feeds, and the full e-commerce marketing stack.
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/shopify ~/.claude/skills/
| Metric | Good | Great | Warning |
|---|---|---|---|
| Overall Conversion Rate | 2-3% | 4%+ | <1.5% |
| Add-to-Cart Rate | 8-10% | 12%+ | <5% |
| Cart-to-Checkout Rate | 50-60% | 70%+ | <40% |
| Checkout Completion Rate | 45-55% | 60%+ | <35% |
| AOV | Industry dependent | Growing trend | Declining |
| Returning Customer Rate | 25-30% | 40%+ | <20% |
| Mobile Conversion Rate | 1.5-2.5% | 3%+ | <1% |
| Email Revenue % | 25-35% | 40%+ | <15% |
| LTV:CAC Ratio | 3:1 | 4:1+ | <2:1 |
| Page Load (LCP) | <2.5s | <1.5s | >4s |
When asked to audit a Shopify store's marketing:
Ask me questions like:
For detailed Shopify API reference, Liquid theme customization, and advanced configurations, see REFERENCE.md.
For complete analysis patterns, sample outputs, and use cases, see EXAMPLES.md.
The skill includes utility scripts for API interaction and automated analysis:
# Get store info (API health check)
python scripts/shopify_client.py --resource shop
# List recent orders
python scripts/shopify_client.py --resource orders --days 30
# Export products as CSV
python scripts/shopify_client.py --resource products --status active --format csv --output products.csv
# Quick order count
python scripts/shopify_client.py --resource order-count --status any
# Full store audit (all analyses combined)
python scripts/analyze.py --analysis-type full-audit
# Conversion funnel (last 30 days)
python scripts/analyze.py --analysis-type conversion-funnel --days 30
# Product performance
python scripts/analyze.py --analysis-type product-performance --days 30
# Customer cohorts (last 90 days)
python scripts/analyze.py --analysis-type customer-cohorts --days 90
# Revenue analysis with output file
python scripts/analyze.py --analysis-type revenue-analysis --days 30 --output revenue.json
The scripts handle API authentication, rate limiting, pagination, and basic analysis. I'll interpret the results and provide actionable recommendations.
Authentication Error: Verify that:
SHOPIFY_STORE_URL is your .myshopify.com URL (not your custom domain)SHOPIFY_ACCESS_TOKEN starts with shpat_ and is from a Custom AppRate Limiting: The scripts handle Shopify's 2 requests/second limit automatically. If you see 429 errors, the retry logic will wait and continue. For large stores, consider using --limit to reduce data volume.
No Orders Returned: Check that:
--days) covers a period with orders--status filter matches your orders (use any to see all)Import Errors: Install required packages:
pip install -r requirements.txt
.env files.env and credential files to .gitignoreまだレビューはありません。使ってみた感想をお寄せください。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。