Files

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

3.2 KiB

Raw Blame History

name, description

name	description
seo-keyword-strategy	Keyword strategy and research for SEO campaigns. Triggers: keyword research, keyword analysis, keyword gap, search volume, keyword clustering, intent classification, 키워드 전략, 키워드 분석, 키워드 리서치, 검색량 분석, 키워드 클러스터링.

SEO Keyword Strategy & Research

Purpose

Expand seed keywords, classify search intent, cluster topics, and identify competitor keyword gaps for comprehensive keyword strategy development.

Core Capabilities

Keyword Expansion - Matching terms, related terms, search suggestions
Korean Market - Suffix expansion, Naver autocomplete, Korean intent patterns
Intent Classification - Informational, navigational, commercial, transactional
Topic Clustering - Group keywords into semantic clusters
Gap Analysis - Find competitor keywords missing from target site

MCP Tool Usage

Ahrefs for Keyword Data

mcp__ahrefs__keywords-explorer-overview: Get keyword metrics
mcp__ahrefs__keywords-explorer-matching-terms: Find keyword variations
mcp__ahrefs__keywords-explorer-related-terms: Discover related keywords
mcp__ahrefs__keywords-explorer-search-suggestions: Autocomplete suggestions
mcp__ahrefs__keywords-explorer-volume-by-country: Country volume comparison
mcp__ahrefs__site-explorer-organic-keywords: Competitor keyword rankings

Web Search for Naver Discovery

WebSearch: Naver autocomplete and trend discovery

Workflow

1. Seed Keyword Expansion

Input seed keyword (Korean or English)
Query Ahrefs matching-terms and related-terms
Get search suggestions for long-tail variations
Apply Korean suffix expansion if Korean market
Deduplicate and merge results

2. Intent Classification & Clustering

Classify each keyword by search intent
Group keywords into topic clusters
Identify pillar topics and supporting terms
Calculate cluster-level metrics (total volume, avg KD)

3. Gap Analysis

Pull organic keywords for target and competitors
Identify keywords present in competitors but missing from target
Score opportunities by volume/difficulty ratio
Prioritize by intent alignment with business goals

Output Format

## Keyword Strategy Report: [seed keyword]

### Overview
- Total keywords discovered: [count]
- Topic clusters: [count]
- Total search volume: [sum]

### Top Clusters
| Cluster | Keywords | Total Volume | Avg KD |
|---------|----------|-------------|--------|
| ... | ... | ... | ... |

### Top Opportunities
| Keyword | Volume | KD | Intent | Cluster |
|---------|--------|-----|--------|---------|
| ... | ... | ... | ... | ... |

### Keyword Gaps (vs competitors)
| Keyword | Volume | Competitor Position | Opportunity Score |
|---------|--------|-------------------|-------------------|
| ... | ... | ... | ... |

Notion Output (Required)

All audit reports MUST be saved to OurDigital SEO Audit Log:

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

3.2 KiB Raw Blame History