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Andrew Yim e527fb4b0f 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>

2026-05-14 03:15:32 +09:00

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OurSEO Agent (CLI + MCP)

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.

CLI commands (Claude Code)

# Crawl the target for content inventory (titles, H1s, meta, last-modified)
our collect crawl https://<site> --max-pages 500

# Korean batch keyword research for content gaps
our keywords ideas "<seed>" --location 2410 --limit 50
our keywords for-site <competitor.com> --location 2410 --limit 100
our serp ranked-keywords <domain> --location 2410 --limit 100

# Naver-specific content discovery
our research naver keywords ideas "<seed>" --limit 30
our research naver serp "<keyword>"

MCP tools (Claude Desktop)

mcp__ourseo__crawl_website(url="<target>", max_pages=200)
mcp__ourseo__find_similar_pages(crawl_path="<path/to/crawl.json>", query="<topic>")
mcp__ourseo__search_knowledge_graph(query="<entity>")

Strengths for this skill

crawl_website is the ground-truth on-page content inventory. No vendor estimates — just what the site publishes.
find_similar_pages does semantic clustering on a prior crawl (Vertex AI embeddings) — useful for topic-cluster building and cannibalization candidates.
Korean Naver content discovery via our research naver * covers a market Semrush/Ahrefs don't reach.

Not for this skill when

Search volume / KD per keyword — Semrush MCP is the cleanest source.
Top pages by traffic on competitor sites — Ahrefs site-explorer-top-pages.
First-party content performance — GSC pages / combined reports.

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