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>
47 lines
1.8 KiB
Markdown
47 lines
1.8 KiB
Markdown
---
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description: Google and Naver SERP feature detection and competitor mapping
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---
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# SEO SERP Analysis
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Detect SERP features, map competitor positions, and score feature opportunities for Google and Naver.
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## Triggers
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- "SERP analysis", "SERP features", "검색 결과 분석"
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## Capabilities
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1. **Google SERP Feature Detection** - Featured snippet, PAA, knowledge panel, local pack, video carousel, ads, image pack, site links
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2. **Competitor Position Mapping** - Map competitor domains and positions per keyword
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3. **Content Type Distribution** - Analyze content types in results (blog, product, service, news, video)
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4. **Opportunity Scoring** - Score SERP feature opportunities for target site
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5. **Intent Validation** - Validate search intent from SERP composition
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6. **Naver SERP Analysis** - Section detection (블로그, 카페, 지식iN, 스마트스토어, 브랜드존, 숏폼, 인플루언서)
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## Scripts
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```bash
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# Google SERP analysis
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python custom-skills/20-seo-serp-analysis/code/scripts/serp_analyzer.py \
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--keyword "치과 임플란트" --country kr --json
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# Multiple keywords from file
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python custom-skills/20-seo-serp-analysis/code/scripts/serp_analyzer.py \
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--keywords-file keywords.txt --country kr --json
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# Naver SERP analysis
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python custom-skills/20-seo-serp-analysis/code/scripts/naver_serp_analyzer.py \
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--keyword "치과 임플란트" --json
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# Naver multiple keywords
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python custom-skills/20-seo-serp-analysis/code/scripts/naver_serp_analyzer.py \
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--keywords-file keywords.txt --json
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```
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## Output
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- SERP feature presence map with ad counts
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- Competitor positions with domain, URL, title, and content type
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- Opportunity score and intent signals
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- Naver section priority mapping and content type distribution
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- Reports saved to Notion SEO Audit Log (Category: SERP Analysis, ID: SERP-YYYYMMDD-NNN)
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