Add SEO skills 33-34 and fix bugs in skills 19-34

New skills:
- Skill 33: Site migration planner with redirect mapping and monitoring
- Skill 34: Reporting dashboard with HTML charts and Korean executive reports

Bug fixes (Skill 34 - report_aggregator.py):
- Add audit_type fallback for skill identification (was only using audit_id prefix)
- Extract health scores from nested data dict (technical_score, onpage_score, etc.)
- Support subdomain matching in domain filter (blog.ourdigital.org matches ourdigital.org)
- Skip self-referencing DASH- aggregated reports

Bug fixes (Skill 20 - naver_serp_analyzer.py):
- Remove VIEW tab selectors (removed by Naver in 2026)
- Add new section detectors: books (도서), shortform (숏폼), influencer (인플루언서)

Improvements (Skill 34 - dashboard/executive report):
- Add Korean category labels for Chart.js charts (기술 SEO, 온페이지, etc.)
- Add Korean trend labels (개선 중 ↑, 안정 →, 하락 중 ↓)
- Add English→Korean issue description translation layer (20 common patterns)

Documentation improvements:
- Add Korean triggers to 4 skill descriptions (19, 25, 28, 31)
- Expand Skill 32 SKILL.md from 40→143 lines (was 6/10, added workflow, output format, limitations)
- Add output format examples to Skills 27 and 28 SKILL.md
- Add limitations sections to Skills 27 and 28
- Update README.md, CLAUDE.md, AGENTS.md for skills 33-34

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

custom-skills/20-seo-serp-analysis/desktop/SKILL.md

@@ -17,7 +17,7 @@ Analyze search engine result page composition for Google and Naver. Detect SERP
 2. **Competitor Position Mapping** - Extract domains, positions, content types for top organic results
 3. **Opportunity Scoring** - Score SERP opportunity (0-100) based on feature landscape and competition
 4. **Search Intent Validation** - Infer intent (informational, navigational, commercial, transactional, local) from SERP composition
-5. **Naver SERP Composition** - Detect sections (blog, cafe, knowledge iN, Smart Store, brand zone, VIEW tab), map section priority, analyze brand zone presence
+5. **Naver SERP Composition** - Detect sections (blog, cafe, knowledge iN, Smart Store, brand zone, books, shortform, influencer), map section priority, analyze brand zone presence
 
 ## MCP Tool Usage
 
@@ -53,7 +53,7 @@ WebFetch: Fetch Naver SERP HTML for section analysis
 
 ### 2. Naver SERP Analysis
 1. Fetch Naver search page for the target keyword
-2. Detect SERP sections (blog, cafe, knowledge iN, Smart Store, brand zone, VIEW tab, news, encyclopedia)
+2. Detect SERP sections (blog, cafe, knowledge iN, Smart Store, brand zone, news, encyclopedia, books, shortform, influencer)
 3. Map section priority (above-fold order)
 4. Check brand zone presence and extract brand name
 5. Count items per section