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our-claude-skills/custom-skills/31-seo-competitor-intel/desktop/SKILL.md
Andrew Yim d2d0a2d460 Add SEO skills 33-34 and fix bugs in skills 19-34 
New skills:
- Skill 33: Site migration planner with redirect mapping and monitoring
- Skill 34: Reporting dashboard with HTML charts and Korean executive reports

Bug fixes (Skill 34 - report_aggregator.py):
- Add audit_type fallback for skill identification (was only using audit_id prefix)
- Extract health scores from nested data dict (technical_score, onpage_score, etc.)
- Support subdomain matching in domain filter (blog.ourdigital.org matches ourdigital.org)
- Skip self-referencing DASH- aggregated reports

Bug fixes (Skill 20 - naver_serp_analyzer.py):
- Remove VIEW tab selectors (removed by Naver in 2026)
- Add new section detectors: books (도서), shortform (숏폼), influencer (인플루언서)

Improvements (Skill 34 - dashboard/executive report):
- Add Korean category labels for Chart.js charts (기술 SEO, 온페이지, etc.)
- Add Korean trend labels (개선 중 ↑, 안정 →, 하락 중 ↓)
- Add English→Korean issue description translation layer (20 common patterns)

Documentation improvements:
- Add Korean triggers to 4 skill descriptions (19, 25, 28, 31)
- Expand Skill 32 SKILL.md from 40→143 lines (was 6/10, added workflow, output format, limitations)
- Add output format examples to Skills 27 and 28 SKILL.md
- Add limitations sections to Skills 27 and 28
- Update README.md, CLAUDE.md, AGENTS.md for skills 33-34

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 00:01:00 +09:00

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name, description
name description
seo-competitor-intel Competitor intelligence and SEO benchmarking. Triggers: competitor analysis, competitive intelligence, competitor comparison, threat assessment, market position, benchmarking, 경쟁사 분석, 경쟁 인텔리전스, 벤치마킹, 경쟁사 비교.

SEO Competitor Intelligence & Benchmarking

Purpose

Comprehensive competitor intelligence for SEO: auto-discover competitors, build profile cards, create head-to-head comparison matrices, analyze keyword overlap, track traffic trends, and score competitive threats. Supports Korean market analysis including Naver Blog/Cafe presence.

Core Capabilities

  1. Competitor Discovery - Auto-discover organic competitors via Ahrefs
  2. Profile Cards - DR, traffic, keywords, referring domains, top pages, content volume
  3. Comparison Matrix - Multi-dimensional head-to-head comparison
  4. Keyword Overlap - Shared, unique, and gap keyword analysis
  5. Threat Scoring - 0-100 score based on DR gap, traffic ratio, keyword overlap, growth
  6. Competitive Monitoring - Traffic trends, DR changes, keyword movement, content velocity
  7. Alert Generation - Flag significant competitive movements
  8. Market Share Estimation - Organic traffic share within competitive set

MCP Tool Usage

Ahrefs for Competitive Data

mcp__ahrefs__site-explorer-organic-competitors: Discover organic competitors
mcp__ahrefs__site-explorer-metrics: Current organic metrics
mcp__ahrefs__site-explorer-metrics-history: Historical metric trends
mcp__ahrefs__site-explorer-domain-rating: Domain Rating score
mcp__ahrefs__site-explorer-domain-rating-history: DR trend over time
mcp__ahrefs__site-explorer-organic-keywords: Keyword rankings per domain
mcp__ahrefs__site-explorer-top-pages: Top performing pages
mcp__ahrefs__site-explorer-pages-by-traffic: Pages ranked by traffic
mcp__ahrefs__site-explorer-referring-domains: Referring domain list
mcp__ahrefs__site-explorer-backlinks-stats: Backlink overview
mcp__ahrefs__site-explorer-pages-history: Page index history

Notion for Report Storage

mcp__notion__notion-create-pages: Save reports to SEO Audit Log

WebSearch for Korean Market

WebSearch: Check Naver Blog/Cafe presence for competitors

Workflow

Competitor Profiling

  1. Accept target URL/domain
  2. Auto-discover competitors via Ahrefs organic-competitors (or use provided list)
  3. Build profile card for target and each competitor (DR, traffic, keywords, backlinks, content)
  4. Analyze keyword overlap between target and each competitor
  5. Build multi-dimensional comparison matrix
  6. Score competitive threats (0-100)
  7. Determine market position (leader/challenger/follower/niche)
  8. If Korean market: check Naver Blog/Cafe presence

Competitive Monitoring

  1. Accept target, competitors, and monitoring period
  2. Fetch traffic trend history for all domains
  3. Fetch DR trend history for all domains
  4. Track keyword movement (new/lost keywords)
  5. Compare content publication velocity
  6. Generate alerts for significant changes (>20% traffic, DR jump, keyword surge)
  7. Estimate market share within competitive set

Output Format

Profiling Report

## Competitor Intelligence Report: [domain]

### Target Profile
- Domain Rating: [DR]
- Organic Traffic: [traffic]
- Keywords: [count]
- Referring Domains: [count]

### Competitors (by threat score)
1. **[competitor.com]** - Threat: [score]/100
   - DR: [value] | Traffic: [value] | Keywords: [value]
   - Keyword Overlap: [shared] shared, [gap] gap
   - Strengths: [list]
   - Weaknesses: [list]

### Comparison Matrix
| Dimension | Target | Comp1 | Comp2 |
|-----------|--------|-------|-------|

### Market Position: [leader/challenger/follower/niche]

Monitoring Report

## Competitive Monitoring Report: [domain]
### Period: [N] days

### Alerts
- [severity] [message]

### Traffic Trends
| Domain | Direction | Growth | Current |

### Keyword Movements
| Domain | New | Lost | Net |

### Market Share
| Domain | Traffic% | Overall% |

Threat Scoring Methodology

Factor Weight Scale
DR Gap 20% -30 to +30 mapped to 0-100
Traffic Ratio 30% 0x to 2x+ mapped to 0-100
Keyword Overlap 25% 0-50%+ mapped to 0-100
Gap Keywords 25% Ratio to target keywords

Alert Thresholds

Alert Type Threshold Severity
Traffic change >20% warning; >50% critical
DR change >3 points warning; >5 critical
Keyword surge >15% growth warning
Content burst >2x avg velocity info

Limitations

  • Ahrefs data has ~24h freshness lag
  • Keyword overlap limited to top 1,000 keywords per domain
  • Content velocity based on Ahrefs page index (not real-time crawl)
  • Naver presence detection is heuristic-based

Notion Output (Required)

All reports MUST be saved to OurDigital SEO Audit Log:

  • Database ID: 2c8581e5-8a1e-8035-880b-e38cefc2f3ef
  • Properties: Issue (title), Site (url), Category ("Competitor Intelligence"), Priority, Found Date, Audit ID
  • Language: Korean with English technical terms
  • Audit ID Format: COMP-YYYYMMDD-NNN
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