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>
58 lines
2.2 KiB
Markdown
58 lines
2.2 KiB
Markdown
---
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description: Knowledge Graph & Entity SEO - Knowledge Panel, PAA, FAQ rich results
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---
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# SEO Knowledge Graph
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Entity SEO analysis for Knowledge Panel presence, People Also Ask monitoring, and FAQ rich results tracking.
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## Triggers
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- "knowledge graph", "entity SEO", "Knowledge Panel", "PAA monitoring"
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## Capabilities
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1. **Knowledge Panel Detection** - Check entity presence in Google Knowledge Graph
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2. **Entity Attribute Analysis** - Name, type, description, logo, social profiles, completeness score
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3. **Wikipedia/Wikidata Check** - Article and QID presence verification
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4. **Naver Presence** - Encyclopedia and knowledge iN (지식iN) coverage
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5. **PAA Monitoring** - People Also Ask tracking for brand queries
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6. **FAQ Rich Results** - FAQPage schema presence and SERP appearance tracking
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7. **Entity Markup Audit** - Organization/Person/LocalBusiness schema and sameAs validation
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## Scripts
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```bash
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# Knowledge Graph analysis
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python custom-skills/28-seo-knowledge-graph/code/scripts/knowledge_graph_analyzer.py \
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--entity "Samsung Electronics" --json
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# Korean entity check
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python custom-skills/28-seo-knowledge-graph/code/scripts/knowledge_graph_analyzer.py \
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--entity "삼성전자" --language ko --json
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# Include Wikipedia/Wikidata check
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python custom-skills/28-seo-knowledge-graph/code/scripts/knowledge_graph_analyzer.py \
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--entity "Samsung" --wiki --json
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# Full entity SEO audit
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python custom-skills/28-seo-knowledge-graph/code/scripts/entity_auditor.py \
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--url https://example.com --entity "Brand Name" --json
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# PAA monitoring
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python custom-skills/28-seo-knowledge-graph/code/scripts/entity_auditor.py \
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--url https://example.com --entity "Brand Name" --paa --json
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# FAQ rich result tracking
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python custom-skills/28-seo-knowledge-graph/code/scripts/entity_auditor.py \
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--url https://example.com --entity "Brand Name" --faq --json
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```
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## Output
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- Knowledge Panel detection with attribute completeness score
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- Wikipedia/Wikidata presence status
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- Naver encyclopedia and knowledge iN coverage
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- PAA questions list for brand keywords
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- FAQ rich result tracking
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- Entity schema audit (Organization, sameAs links)
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- Reports saved to Notion SEO Audit Log (Category: Knowledge Graph & Entity SEO)
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