feat(seo-skills): multi-backend Data Source Selection (#7)
Replaces single-vendor (Ahrefs-only) tool defaults with a per-task backend menu across all 14 SEO skills. Each skill now lists every capable MCP in allowed-tools and documents how to pick between Semrush, Ahrefs, OurSEO Agent (CLI + MCP), DataForSEO, and GSC in its SKILL.md Data Source Selection section. Tool stubs (~40 new files) populated per skill with capability deltas, call patterns, and explicit "not for this skill when" callouts so the menu is self-correcting. Skills affected: 19-keyword-strategy, 20-serp-analysis, 21-position-tracking, 22-link-building, 23-content-strategy, 24-ecommerce, 25-kpi-framework, 26-international, 27-ai-visibility, 28-knowledge-graph, 31-competitor-intel, 32-crawl-budget, 33-migration-planner, 34-reporting-dashboard. Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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# Ahrefs
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# Ahrefs MCP
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> TODO: Document tool usage for this skill
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Use for **top-pages-by-traffic** views on competitor sites, **content decay** candidates on the target, and Korean platform refdomains. Namespace: `mcp__ahrefs__*` / `mcp__claude_ai_Ahrefs__*`.
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## Available Commands
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## Key endpoints
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- [ ] List commands
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- `site-explorer-top-pages` — pages ranked by traffic for any domain (target or competitor)
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- `site-explorer-pages-history` — trend in indexed pages over time (decay signal)
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- `site-explorer-pages-by-traffic` — sorted by current traffic
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- `site-explorer-pages-by-internal-links` — informs internal-linking opportunities
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- `keywords-explorer-overview` / `-related-terms` / `-matching-terms` — topic expansion
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- `gsc-pages` — first-party top pages when GSC is connected to the project
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## Configuration
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## Example
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- [ ] Add configuration details
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```
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mcp__ahrefs__site-explorer-top-pages(target="<competitor>", country="us", limit=100)
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mcp__ahrefs__site-explorer-pages-history(target="<target>", history="monthly")
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mcp__ahrefs__keywords-explorer-related-terms(keyword="<topic>", country="us", limit=50)
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```
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## Examples
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## Strengths for this skill
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- [ ] Add usage examples
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- Best ranked-by-traffic view of competitor content inventory.
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- Historical pages-history surfaces decaying content quickly.
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- Pairs well with OurSEO crawl (which gives the on-page side).
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## Not for this skill when
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- **On-page content inventory of the target** — OurSEO `crawl_website` is the ground-truth source.
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- **Cannibalization detection** on the target — GSC first-party data is required.
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- **Korean Naver content** — Ahrefs underrepresents Naver Blog/Cafe; use `our research naver *` and WebSearch.
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42
custom-skills/23-seo-content-strategy/desktop/tools/gsc.md
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custom-skills/23-seo-content-strategy/desktop/tools/gsc.md
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# Google Search Console
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**Required** for two content-strategy tasks that no other backend can do honestly:
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1. **Cannibalization detection** — query × page combos where multiple URLs share impressions.
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2. **Decay detection** — period-over-period impression decline on the target's existing pages.
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## CLI commands
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```bash
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# Top queries — what the site already ranks for
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our research search-console queries --site sc-domain:<domain> --days 28
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# Top pages by clicks/impressions
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our research search-console pages --site sc-domain:<domain> --days 28
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# Combined query × page — REQUIRED for cannibalization
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our research search-console combined --site sc-domain:<domain> --days 90
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```
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`sc-domain:` prefix for Domain-verified properties; URL-prefix properties use the plain URL.
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## Decay workflow
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1. Pull `pages` for the last 90 days.
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2. Pull `pages` for the same 90-day window from 90 days prior (or use cached prior runs).
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3. Diff impression / click counts per URL.
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4. Flag URLs with >30% impression decline as decay candidates.
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5. Cross-reference with `our collect crawl` output to check freshness signals (last-modified, content age).
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## Cannibalization workflow
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1. Pull `combined` over 90 days.
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2. Group by query; count distinct URLs per query.
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3. Flag queries where 2+ URLs each have >100 impressions — the site is competing with itself.
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## Not for this skill when
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- **Net-new content discovery** — GSC only knows what already ranks. Use Semrush/Ahrefs for gap discovery.
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- **Competitor performance** — single-site only.
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Gotcha: `our-claude-skills/custom-skills/15-seo-search-console/code/gotcha/gsc-cli-integration.md`.
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# OurSEO Agent (CLI + MCP)
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The **on-page** half of content strategy work — what the target site itself publishes, in what shape, with what schema. Pair with a keyword backend (Semrush/Ahrefs) for performance data.
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## CLI commands (Claude Code)
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```bash
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# Crawl the target for content inventory (titles, H1s, meta, last-modified)
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our collect crawl https://<site> --max-pages 500
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# Korean batch keyword research for content gaps
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our keywords ideas "<seed>" --location 2410 --limit 50
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our keywords for-site <competitor.com> --location 2410 --limit 100
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our serp ranked-keywords <domain> --location 2410 --limit 100
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# Naver-specific content discovery
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our research naver keywords ideas "<seed>" --limit 30
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our research naver serp "<keyword>"
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```
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## MCP tools (Claude Desktop)
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```
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mcp__ourseo__crawl_website(url="<target>", max_pages=200)
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mcp__ourseo__find_similar_pages(crawl_path="<path/to/crawl.json>", query="<topic>")
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mcp__ourseo__search_knowledge_graph(query="<entity>")
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```
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## Strengths for this skill
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- **`crawl_website` is the ground-truth on-page content inventory.** No vendor estimates — just what the site publishes.
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- **`find_similar_pages`** does semantic clustering on a prior crawl (Vertex AI embeddings) — useful for topic-cluster building and cannibalization candidates.
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- Korean Naver content discovery via `our research naver *` covers a market Semrush/Ahrefs don't reach.
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## Not for this skill when
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- **Search volume / KD per keyword** — Semrush MCP is the cleanest source.
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- **Top pages by traffic on competitor sites** — Ahrefs `site-explorer-top-pages`.
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- **First-party content performance** — GSC `pages` / `combined` reports.
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# Semrush MCP
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**Default** for organic content discovery and keyword expansion in content strategy work.
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Call pattern: discovery → `get_report_schema` → `execute_report`.
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## Key reports
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- `organic_research` — organic keywords + top pages for a domain
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- `keyword_research` — expansion, volume, KD, intent
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- `overview_research` — domain-level traffic/visibility
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## Example
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```
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mcp__semrush__organic_research(query="<competitor.com>", database="us")
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mcp__semrush__keyword_research(query="<seed topic>", database="us")
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mcp__semrush__get_report_schema(report_id="<id>")
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mcp__semrush__execute_report(report_id="<id>", params={...})
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```
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Korean market: `database="kr"`.
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## Strengths for this skill
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- Best overall keyword + organic competitor view.
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- Cleanest discovery → schema → execute pattern for batch content brief generation.
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- Pairs with OurSEO crawl (on-page) and GSC (first-party performance).
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## Not for this skill when
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- **On-page inventory of target site** — OurSEO `crawl_website`.
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- **Cannibalization detection** — GSC first-party `combined` report.
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- **Korean Naver content** — `our research naver *` covers Naver-specific patterns Semrush doesn't.
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