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* 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 |
|---|
| Keyword strategy and research for SEO campaigns |
SEO Keyword Strategy
Keyword expansion, intent classification, clustering, and competitor gap analysis. Supports Korean market with Naver autocomplete.
Triggers
- "keyword research", "keyword strategy", "키워드 리서치"
Capabilities
- Keyword Expansion - Seed keyword expansion with matching, related, and suggested terms
- Intent Classification - Classify keywords as informational, navigational, commercial, or transactional
- Topic Clustering - Group keywords into topic clusters with volume aggregation
- Korean Suffix Expansion - Expand with Korean suffixes (추천, 가격, 후기, 잘하는곳, 부작용, 전후)
- Volume Comparison - Compare search volume across Korea vs global markets
- Keyword Gap Analysis - Find keywords competitors rank for but target does not
Scripts
# Basic keyword research
python custom-skills/19-seo-keyword-strategy/code/scripts/keyword_researcher.py \
--keyword "치과 임플란트" --country kr --json
# Korean market with suffix expansion
python custom-skills/19-seo-keyword-strategy/code/scripts/keyword_researcher.py \
--keyword "치과 임플란트" --country kr --korean-suffixes --json
# Volume comparison Korea vs global
python custom-skills/19-seo-keyword-strategy/code/scripts/keyword_researcher.py \
--keyword "dental implant" --country kr --compare-global --json
# Keyword gap vs competitor
python custom-skills/19-seo-keyword-strategy/code/scripts/keyword_gap_analyzer.py \
--target https://example.com --competitor https://competitor.com --json
# Multiple competitors with minimum volume filter
python custom-skills/19-seo-keyword-strategy/code/scripts/keyword_gap_analyzer.py \
--target https://example.com --competitor https://comp1.com \
--competitor https://comp2.com --min-volume 100 --json
Output
- Keyword list with volume, KD, CPC, intent, and cluster assignment
- Topic clusters with aggregated volume
- Gap keywords with opportunity scores
- Reports saved to Notion SEO Audit Log (Category: Keyword Research, ID: KW-YYYYMMDD-NNN)