Add SEO skills 19-28, 31-32 with full Python implementations
12 new skills: Keyword Strategy, SERP Analysis, Position Tracking, Link Building, Content Strategy, E-Commerce SEO, KPI Framework, International SEO, AI Visibility, Knowledge Graph, Competitor Intel, and Crawl Budget. ~20K lines of Python across 25 domain scripts. Updated skill 11 pipeline table and repo CLAUDE.md. Enhanced skill 18 local SEO workflow from jamie.clinic audit. Note: Skill 26 hreflang_validator.py pending (content filter block). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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# Ahrefs
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> MCP tool documentation for competitor intelligence skill
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## Available Commands
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- `site-explorer-metrics` - Get current organic metrics for a domain
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- `site-explorer-metrics-history` - Get historical organic metrics trends
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- `site-explorer-organic-competitors` - Discover organic search competitors
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- `site-explorer-organic-keywords` - Get keyword rankings per domain
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- `site-explorer-top-pages` - Get top performing pages by traffic
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- `site-explorer-pages-by-traffic` - Get pages ranked by organic traffic
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- `site-explorer-domain-rating` - Get Domain Rating score
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- `site-explorer-domain-rating-history` - Get DR trend over time
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- `site-explorer-referring-domains` - Get list of referring domains
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- `site-explorer-backlinks-stats` - Get backlink overview statistics
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- `site-explorer-pages-history` - Get page index history
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## Configuration
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- Requires Ahrefs MCP server configured in Claude Desktop
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- API access via `mcp__ahrefs__*` tool prefix
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## Examples
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```
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# Discover competitors
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mcp__ahrefs__site-explorer-organic-competitors(target="example.com")
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# Get domain metrics
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mcp__ahrefs__site-explorer-metrics(target="example.com")
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# Get keyword rankings
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mcp__ahrefs__site-explorer-organic-keywords(target="example.com", limit=100)
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```
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# Notion
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> MCP tool documentation for saving competitor intelligence reports
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## Available Commands
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- `notion-create-pages` - Create new pages in the SEO Audit Log database
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- `notion-update-page` - Update existing audit entries
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- `notion-query-database-view` - Query existing reports
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- `notion-search` - Search across Notion workspace
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## Configuration
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- Database ID: `2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
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- All reports saved with Category: "Competitor Intelligence"
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- Audit ID format: COMP-YYYYMMDD-NNN
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## Examples
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```
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# Create competitor intelligence report
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mcp__notion__notion-create-pages(
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database_id="2c8581e5-8a1e-8035-880b-e38cefc2f3ef",
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properties={
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"Issue": {"title": [{"text": {"content": "경쟁사 분석 보고서 - 2025-01-15"}}]},
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"Site": {"url": "https://example.com"},
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"Category": {"select": {"name": "Competitor Intelligence"}},
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"Priority": {"select": {"name": "High"}},
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"Found Date": {"date": {"start": "2025-01-15"}},
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"Audit ID": {"rich_text": [{"text": {"content": "COMP-20250115-001"}}]}
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}
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)
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```
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# WebSearch
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> Web search tool documentation for competitor intelligence
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## Available Commands
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- `WebSearch` - Search the web for competitor information, market data, and Korean market presence
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## Configuration
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- No additional configuration required
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- Available as built-in Claude tool
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## Examples
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```
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# Check Naver Blog presence
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WebSearch(query="site:blog.naver.com competitor-domain.com")
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# Check Naver Cafe presence
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WebSearch(query="site:cafe.naver.com competitor-domain.com")
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# Research competitor market presence
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WebSearch(query="competitor-domain.com market share industry analysis")
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# Korean market competitor discovery
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WebSearch(query="경쟁사 분석 industry-keyword")
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```
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