[Claude] feat(skills): update SEO skills to use DataForSEO CLI + MCP tools
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -23,11 +23,31 @@ Expand seed keywords, classify search intent, cluster topics, and identify compe
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## MCP Tool Usage
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### SEO Data
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### SEO Data (DataForSEO)
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**Primary — our-seo-agent CLI:**
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```bash
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our keywords volume "<keyword>" --location 2410 --language ko
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our keywords ideas "<keyword>" --location 2410 --limit 50
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our keywords for-site <competitor.com> --location 2410 --limit 100
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our keywords intent "<kw1>" "<kw2>" "<kw3>"
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our keywords difficulty "<kw1>" "<kw2>"
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```
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our-seo-agent CLI: Primary keyword data source (future); use --input for pre-fetched JSON
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WebSearch / WebFetch: Live keyword research and autocomplete data
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**Interactive fallback — DataForSEO MCP:**
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```
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mcp__dfs-mcp__dataforseo_labs_google_keyword_overview
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mcp__dfs-mcp__dataforseo_labs_google_keyword_ideas
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mcp__dfs-mcp__dataforseo_labs_google_keyword_suggestions
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mcp__dfs-mcp__dataforseo_labs_search_intent
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mcp__dfs-mcp__dataforseo_labs_bulk_keyword_difficulty
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mcp__dfs-mcp__kw_data_google_ads_search_volume
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mcp__dfs-mcp__dataforseo_labs_google_keywords_for_site
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```
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### Common Parameters
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- **location_code**: 2410 (Korea), 2840 (US), 2392 (Japan)
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- **language_code**: ko, en, ja
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### Web Search for Naver Discovery
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```
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@@ -38,10 +58,11 @@ WebSearch: Naver autocomplete and trend discovery
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### 1. Seed Keyword Expansion
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1. Input seed keyword (Korean or English)
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2. Query keyword data via our-seo-agent CLI, pre-fetched JSON, or WebSearch
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3. Get search suggestions for long-tail variations
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4. Apply Korean suffix expansion if Korean market
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5. Deduplicate and merge results
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2. Fetch search volume via `our keywords volume "<seed>" --location 2410 --language ko`
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3. Expand with `our keywords ideas "<seed>" --location 2410 --limit 50`
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4. Get autocomplete suggestions via MCP: `mcp__dfs-mcp__dataforseo_labs_google_keyword_suggestions`
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5. Apply Korean suffix expansion if Korean market
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6. Deduplicate and merge results
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### 2. Intent Classification & Clustering
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1. Classify each keyword by search intent
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@@ -50,10 +71,11 @@ WebSearch: Naver autocomplete and trend discovery
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4. Calculate cluster-level metrics (total volume, avg KD)
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### 3. Gap Analysis
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1. Pull organic keywords for target and competitors
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2. Identify keywords present in competitors but missing from target
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3. Score opportunities by volume/difficulty ratio
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4. Prioritize by intent alignment with business goals
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1. Pull organic keywords for target: `our keywords for-site <target.com> --location 2410 --limit 100`
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2. Pull organic keywords for competitors: `our keywords for-site <competitor.com> --location 2410 --limit 100`
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3. Identify keywords present in competitors but missing from target
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4. Score opportunities by volume/difficulty ratio
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5. Prioritize by intent alignment with business goals
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## Output Format
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