Fix SEO skill 34 bugs, Korean labels, and transition Ahrefs refs to our-seo-agent (#2)
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@@ -68,12 +68,13 @@ python scripts/product_schema_checker.py --sitemap https://example.com/product-s
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- Merchant listing schema support
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- Korean market: Naver Shopping structured data requirements
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## Ahrefs MCP Tools Used
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## Data Sources
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| Tool | Purpose |
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|------|---------|
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| `site-explorer-pages-by-traffic` | Identify top product/category pages |
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| `site-explorer-organic-keywords` | Product page keyword performance |
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| Source | Purpose |
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|--------|---------|
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| `our-seo-agent` CLI | Primary data source (future); use `--input` for pre-fetched JSON |
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| WebSearch / WebFetch | Supplementary live data |
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| Notion MCP | Save audit report to database |
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## Output Format
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@@ -23,10 +23,10 @@ Audit e-commerce sites for product page optimization, structured data validation
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## MCP Tool Usage
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### Ahrefs for Product Page Discovery
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### SEO Data
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```
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mcp__ahrefs__site-explorer-pages-by-traffic: Identify top product and category pages
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mcp__ahrefs__site-explorer-organic-keywords: Product page keyword performance
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our-seo-agent CLI: Primary product page data source (future); use --input for pre-fetched JSON
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WebSearch / WebFetch: Supplementary product page data
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```
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### WebSearch for Marketplace Checks
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@@ -43,7 +43,7 @@ mcp__notion__notion-create-pages: Save audit report to SEO Audit Log database
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## Workflow
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### 1. Product Page Audit
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1. Discover product pages via Ahrefs pages-by-traffic or sitemap
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1. Discover product pages via our-seo-agent CLI, pre-fetched JSON, or sitemap crawl
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2. For each product page check:
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- Title tag: contains product name, under 60 chars
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- Meta description: includes price/feature info, under 155 chars
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