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 MCP Tools
## serp-overview
Retrieve SERP feature overview for specified keywords. Used to detect Knowledge Panel, PAA, FAQ rich results, and other SERP features for entity-related queries.
### Parameters
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| keyword | string | Yes | Keyword to check SERP features for |
| country | string | No | Country code (default: us) |
### Usage
```
mcp__ahrefs__serp-overview(keyword="Samsung Electronics", country="us")
```
### Relevant SERP Features
- Knowledge Panel
- People Also Ask (PAA)
- FAQ Rich Results
- Featured Snippet
- Sitelinks
- Image Pack
- Video Carousel
- Local Pack

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# Notion MCP Tools
## Save Audit Report
Save Knowledge Graph & Entity SEO audit reports to the OurDigital SEO Audit Log database.
### Database Configuration
| Field | Value |
|-------|-------|
| Database ID | `2c8581e5-8a1e-8035-880b-e38cefc2f3ef` |
| URL | https://www.notion.so/dintelligence/2c8581e58a1e8035880be38cefc2f3ef |
### Required Properties
| Property | Type | Description |
|----------|------|-------------|
| Issue | Title | Report title (Korean + date) |
| Site | URL | Entity website URL |
| Category | Select | Knowledge Graph & Entity SEO |
| Priority | Select | Critical / High / Medium / Low |
| Found Date | Date | Audit date (YYYY-MM-DD) |
| Audit ID | Rich Text | Format: KG-YYYYMMDD-NNN |
### Priority Mapping
| Overall Score | Priority |
|---------------|----------|
| 0-25 | Critical |
| 26-50 | High |
| 51-75 | Medium |
| 76-100 | Low |
### Example Usage
```
mcp__notion__notion-create-pages({
"parent": {"database_id": "2c8581e5-8a1e-8035-880b-e38cefc2f3ef"},
"properties": {
"Issue": {"title": [{"text": {"content": "Knowledge Graph 엔티티 분석 - 2025-01-15"}}]},
"Site": {"url": "https://example.com"},
"Category": {"select": {"name": "Knowledge Graph & Entity SEO"}},
"Priority": {"select": {"name": "High"}},
"Found Date": {"date": {"start": "2025-01-15"}},
"Audit ID": {"rich_text": [{"text": {"content": "KG-20250115-001"}}]}
}
})
```
### Language Guidelines
- Report content in Korean (한국어)
- Keep technical English terms as-is (Knowledge Panel, Knowledge Graph, PAA, FAQ, schema)
- URLs and code remain unchanged

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# WebSearch & WebFetch Tools
## WebSearch
Search the web for entity/brand information to detect Knowledge Panel signals, PAA questions, and SERP features.
### Usage Patterns
#### Knowledge Panel Detection
```
WebSearch("Samsung Electronics")
WebSearch("삼성전자")
```
#### PAA Question Discovery
```
WebSearch("what is Samsung Electronics")
WebSearch("Samsung Electronics reviews")
WebSearch("Samsung Electronics alternatives")
```
#### Brand SERP Analysis
```
WebSearch("Brand Name official")
WebSearch("Brand Name site:wikipedia.org")
```
## WebFetch
Fetch and analyze specific pages for entity presence data.
### Usage Patterns
#### Wikipedia Check
```
WebFetch("https://en.wikipedia.org/wiki/Samsung_Electronics", "Check if article exists and extract entity information")
```
#### Wikidata Check
```
WebFetch("https://www.wikidata.org/w/api.php?action=wbsearchentities&search=Samsung&language=en&format=json", "Find Wikidata QID for entity")
```
#### Naver Encyclopedia
```
WebFetch("https://terms.naver.com/search.naver?query=삼성전자", "Check Naver encyclopedia entry")
```
#### Naver Knowledge iN
```
WebFetch("https://kin.naver.com/search/list.naver?query=삼성전자", "Check knowledge iN entries count")
```
#### Website Schema Extraction
```
WebFetch("https://example.com", "Extract JSON-LD structured data, especially Organization, Person, LocalBusiness schemas and sameAs links")
```
#### FAQ Schema Check
```
WebFetch("https://example.com/faq", "Check for FAQPage JSON-LD schema markup")
```