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>

custom-skills/27-seo-ai-visibility/desktop/tools/ahrefs.md

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+# Ahrefs Brand Radar MCP Tools
+
+## brand-radar-impressions-overview
+Get current AI search impression metrics for a target domain. Returns total impressions, change percentage, and breakdown by AI engine.
+
+**Parameters:**
+- `target` (required): Domain to analyze (e.g., "example.com")
+
+## brand-radar-impressions-history
+Get historical AI search impression data over time. Returns time-series data points with date and impression values.
+
+**Parameters:**
+- `target` (required): Domain to analyze
+
+## brand-radar-mentions-overview
+Get current AI mention metrics for a target domain. Returns total mentions, change percentage, and breakdown.
+
+**Parameters:**
+- `target` (required): Domain to analyze
+
+## brand-radar-mentions-history
+Get historical AI mention data over time. Returns time-series data points with date and mention values.
+
+**Parameters:**
+- `target` (required): Domain to analyze
+
+## brand-radar-sov-overview
+Get Share of Voice overview in AI search for a target domain. Returns brand SOV percentage and competitor SOV data.
+
+**Parameters:**
+- `target` (required): Domain to analyze
+
+## brand-radar-sov-history
+Get historical Share of Voice data over time. Returns time-series SOV data points.
+
+**Parameters:**
+- `target` (required): Domain to analyze
+
+## brand-radar-ai-responses
+Get AI-generated responses that mention the brand. Returns query, response text, sentiment, and source engine for each response.
+
+**Parameters:**
+- `target` (required): Domain to analyze
+
+## brand-radar-cited-domains
+Get domains cited in AI answers related to the brand. Returns domain name, citation count, topics, and share percentage.
+
+**Parameters:**
+- `target` (required): Domain to analyze
+
+## brand-radar-cited-pages
+Get specific pages cited in AI answers. Returns URL, title, citation count, context snippet, and topics.
+
+**Parameters:**
+- `target` (required): Domain to analyze

custom-skills/27-seo-ai-visibility/desktop/tools/notion.md

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+# Notion MCP Tools
+
+## Database: OurDigital SEO Audit Log
+
+- **Database ID**: `2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
+- **URL**: https://www.notion.so/dintelligence/2c8581e58a1e8035880be38cefc2f3ef
+
+## Required Properties
+
+| Property | Type | Description |
+|----------|------|-------------|
+| Issue | Title | Report title in Korean + date |
+| Site | URL | Tracked website URL |
+| Category | Select | "AI Search Visibility" |
+| Priority | Select | Based on SOV trend (Critical, High, Medium, Low) |
+| Found Date | Date | Report date (YYYY-MM-DD) |
+| Audit ID | Rich Text | Format: AI-YYYYMMDD-NNN |
+
+## Usage
+
+Use `notion-create-pages` to save audit results:
+
+```json
+{
+  "parent": {"database_id": "2c8581e5-8a1e-8035-880b-e38cefc2f3ef"},
+  "properties": {
+    "Issue": {"title": [{"text": {"content": "AI 검색 가시성 분석 - example.com (2025-01-15)"}}]},
+    "Site": {"url": "https://example.com"},
+    "Category": {"select": {"name": "AI Search Visibility"}},
+    "Priority": {"select": {"name": "Medium"}},
+    "Found Date": {"date": {"start": "2025-01-15"}},
+    "Audit ID": {"rich_text": [{"text": {"content": "AI-20250115-001"}}]}
+  }
+}
+```
+
+## Priority Guidelines
+
+| Condition | Priority |
+|-----------|----------|
+| SOV decreasing >10% | Critical |
+| SOV decreasing 3-10% | High |
+| SOV stable, low (<10%) | Medium |
+| SOV increasing or high (>25%) | Low |

custom-skills/27-seo-ai-visibility/desktop/tools/websearch.md

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+# WebSearch & WebFetch Tools
+
+## WebSearch
+
+Use web search to supplement AI visibility analysis with additional context:
+- Research competitor AI optimization strategies
+- Find industry benchmarks for AI search visibility
+- Look up latest AI search engine algorithm updates
+- Discover best practices for AI citation optimization
+
+## WebFetch
+
+Use web fetch to retrieve specific pages for deeper analysis:
+- Fetch competitor pages that are frequently cited in AI answers
+- Retrieve structured data (Schema Markup) from cited pages
+- Analyze content structure of top-cited URLs
+- Check E-E-A-T signals on referenced pages