397fa2aa5d
* Fix SEO skill 34 bugs, Korean labels, and transition Ahrefs refs to our-seo-agent P0: Fix report_aggregator.py — wrong SKILL_REGISTRY[33] mapping, missing CATEGORY_WEIGHTS for 7 categories, and break bug in health score parsing that exited loop even on parse failure. P1: Remove VIEW tab references from skill 20, expand skill 32 docs, replace Ahrefs MCP references across all 16 skills (19-28, 31-34) with our-seo-agent CLI data source references. P2: Fix Korean labels in executive_report.py and dashboard_generator.py, add tenacity to base requirements, sync skill 34 base_client.py with canonical version from skill 12. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Add Claude Code slash commands for SEO skills 19-34 and fix stale paths Create 14 new slash command files for skills 19-28, 31-34 so they appear as /seo-* commands in Claude Code. Also fix stale directory paths in 8 existing commands (skills 12-18, 29-30) that referenced pre-renumbering skill directories. Update .gitignore to track .claude/commands/ while keeping other .claude/ files ignored. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Add 8 slash commands, enhance reference-curator with depth/output options - Add slash commands: ourdigital-brand-guide, notion-writer, notebooklm-agent, notebooklm-automation, notebooklm-studio, notebooklm-research, reference-curator, multi-agent-guide - Add --depth (light/standard/deep/full) with Firecrawl parameter mapping - Add --output with ~/Documents/reference-library/ default and user confirmation - Increase --max-sources default from 10 to 100 - Rename /reference-curator-pipeline to /reference-curator - Simplify web-crawler-orchestrator label to web-crawler in docs Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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description
| description |
|---|
| Knowledge Graph & Entity SEO - Knowledge Panel, PAA, FAQ rich results |
SEO Knowledge Graph
Entity SEO analysis for Knowledge Panel presence, People Also Ask monitoring, and FAQ rich results tracking.
Triggers
- "knowledge graph", "entity SEO", "Knowledge Panel", "PAA monitoring"
Capabilities
- Knowledge Panel Detection - Check entity presence in Google Knowledge Graph
- Entity Attribute Analysis - Name, type, description, logo, social profiles, completeness score
- Wikipedia/Wikidata Check - Article and QID presence verification
- Naver Presence - Encyclopedia and knowledge iN (지식iN) coverage
- PAA Monitoring - People Also Ask tracking for brand queries
- FAQ Rich Results - FAQPage schema presence and SERP appearance tracking
- Entity Markup Audit - Organization/Person/LocalBusiness schema and sameAs validation
Scripts
# Knowledge Graph analysis
python custom-skills/28-seo-knowledge-graph/code/scripts/knowledge_graph_analyzer.py \
--entity "Samsung Electronics" --json
# Korean entity check
python custom-skills/28-seo-knowledge-graph/code/scripts/knowledge_graph_analyzer.py \
--entity "삼성전자" --language ko --json
# Include Wikipedia/Wikidata check
python custom-skills/28-seo-knowledge-graph/code/scripts/knowledge_graph_analyzer.py \
--entity "Samsung" --wiki --json
# Full entity SEO audit
python custom-skills/28-seo-knowledge-graph/code/scripts/entity_auditor.py \
--url https://example.com --entity "Brand Name" --json
# PAA monitoring
python custom-skills/28-seo-knowledge-graph/code/scripts/entity_auditor.py \
--url https://example.com --entity "Brand Name" --paa --json
# FAQ rich result tracking
python custom-skills/28-seo-knowledge-graph/code/scripts/entity_auditor.py \
--url https://example.com --entity "Brand Name" --faq --json
Output
- Knowledge Panel detection with attribute completeness score
- Wikipedia/Wikidata presence status
- Naver encyclopedia and knowledge iN coverage
- PAA questions list for brand keywords
- FAQ rich result tracking
- Entity schema audit (Organization, sameAs links)
- Reports saved to Notion SEO Audit Log (Category: Knowledge Graph & Entity SEO)