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
## Tools Used
### site-explorer-all-backlinks
- **Purpose**: Get all backlinks for a target domain
- **Parameters**: target, mode (domain/prefix/url), limit, order_by
- **Returns**: List of backlinks with source URL, domain, DR, anchor, dofollow status
### site-explorer-backlinks-stats
- **Purpose**: Backlink statistics overview
- **Parameters**: target, mode
- **Returns**: Total backlinks, referring domains, dofollow/nofollow counts
### site-explorer-referring-domains
- **Purpose**: List all referring domains
- **Parameters**: target, mode, limit, order_by
- **Returns**: Domains with DR, backlinks count, traffic, country
### site-explorer-anchors
- **Purpose**: Anchor text distribution
- **Parameters**: target, mode, limit, order_by
- **Returns**: Anchor texts with backlink and referring domain counts
### site-explorer-broken-backlinks
- **Purpose**: Find broken backlinks for recovery
- **Parameters**: target, mode, limit, order_by
- **Returns**: Broken links with source, target URL, HTTP code, DR
### site-explorer-domain-rating
- **Purpose**: Get Domain Rating for a target
- **Parameters**: target
- **Returns**: Domain Rating value and Ahrefs rank
### site-explorer-domain-rating-history
- **Purpose**: DR trend over time
- **Parameters**: target, date_from
- **Returns**: Historical DR data points
### site-explorer-refdomains-history
- **Purpose**: Referring domains trend over time
- **Parameters**: target, mode, date_from
- **Returns**: Historical referring domain counts
### site-explorer-linked-domains
- **Purpose**: Domains linked from the target
- **Parameters**: target, mode, limit
- **Returns**: Outgoing linked domains with counts
## Configuration
- Ahrefs MCP tools are available via `mcp__ahrefs__*` prefix
- No API key needed when using MCP (handled by tool server)
- Rate limits: Follow Ahrefs plan limits (typically 500 rows/request)
## Examples
```
# Get backlink stats
mcp__ahrefs__site-explorer-backlinks-stats(target="example.com", mode="domain")
# Get referring domains sorted by DR
mcp__ahrefs__site-explorer-referring-domains(target="example.com", mode="domain", limit=500, order_by="domain_rating:desc")
# Get anchor text distribution
mcp__ahrefs__site-explorer-anchors(target="example.com", mode="domain", limit=200)
# Find broken backlinks
mcp__ahrefs__site-explorer-broken-backlinks(target="example.com", mode="domain", limit=100)
```

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# Notion
## Tools Used
### notion-create-pages
- **Purpose**: Save link building audit reports to SEO Audit Log
- **Database ID**: `2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
- **Required Properties**:
- Issue (title): Report title in Korean with date
- Site (url): Audited website URL
- Category (select): "Link Building"
- Priority (select): Critical / High / Medium / Low
- Found Date (date): YYYY-MM-DD
- Audit ID (rich_text): LINK-YYYYMMDD-NNN
### notion-update-page
- **Purpose**: Update existing audit entries with follow-up findings
## Configuration
- Notion MCP tools available via `mcp__notion__*` prefix
- Authentication handled by MCP tool server
## Examples
```
# Create a link building audit report
mcp__notion__notion-create-pages(
parent={"database_id": "2c8581e5-8a1e-8035-880b-e38cefc2f3ef"},
properties={
"Issue": {"title": [{"text": {"content": "백링크 프로필 분석 - example.com (2025-01-15)"}}]},
"Site": {"url": "https://example.com"},
"Category": {"select": {"name": "Link Building"}},
"Priority": {"select": {"name": "High"}},
"Found Date": {"date": {"start": "2025-01-15"}},
"Audit ID": {"rich_text": [{"text": {"content": "LINK-20250115-001"}}]}
}
)
```

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# WebSearch
## Tools Used
### WebSearch
- **Purpose**: Research link building strategies, competitor insights, and industry best practices
- **Usage**: Supplement Ahrefs data with web research for context
### WebFetch
- **Purpose**: Fetch specific web pages for content analysis and link prospecting
- **Usage**: Verify link opportunities, check page content relevance
## Examples
```
# Research link building strategies for a niche
WebSearch("link building strategies for SaaS companies 2025")
# Research Korean link building opportunities
WebSearch("네이버 블로그 백링크 전략 2025")
# Check if a target page is relevant for outreach
WebFetch("https://example.com/resources", "What topics does this page cover?")
```