Fix SEO skills 19-34 bugs, add slash commands, enhance reference-curator (#3)

* 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>

.claude/commands/seo-keyword-strategy.md

@@ -0,0 +1,50 @@
+---
+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
+
+1. **Keyword Expansion** - Seed keyword expansion with matching, related, and suggested terms
+2. **Intent Classification** - Classify keywords as informational, navigational, commercial, or transactional
+3. **Topic Clustering** - Group keywords into topic clusters with volume aggregation
+4. **Korean Suffix Expansion** - Expand with Korean suffixes (추천, 가격, 후기, 잘하는곳, 부작용, 전후)
+5. **Volume Comparison** - Compare search volume across Korea vs global markets
+6. **Keyword Gap Analysis** - Find keywords competitors rank for but target does not
+
+## Scripts
+
+```bash
+# 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)