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Use when the user asks "what's Google showing for X", "analyze the search results for Y", "what's the AI Overview saying about Z", "what are people also asking about W", or any SERP-flavored intelligence ask. Surfaces AI Overview, organic results, and People-Also-Asked separately rather than as free-form prose. Optional drill-down via web_fetch on specific results.
How this skill is triggered — by the user, by Claude, or both
Slash command
/massive:serp <query> [--country=<code>] [--language=<code>]<query> [--country=<code>] [--language=<code>]The summary Claude sees in its skill listing — used to decide when to auto-load this skill
SERP analysis using the Massive MCP `web_search` tool.
SERP analysis using the Massive MCP web_search tool.
The user wants SERP intelligence: "what's Google showing for", "analyze the search results for", "what's the AI Overview saying about", "what are people also asking about", "what's ranking for".
When invoked explicitly via /massive:serp, the query is provided as: $ARGUMENTS
Use web_search from the massive MCP server. The response includes the AI Overview, organic results, and People-Also-Asked block as separate fields.
$ARGUMENTS (or the prompt) contains --country=<code> or --language=<code>, capture them.country, subdivision, city, language if the user named any (and no explicit flag overrides).web_search with the user's query plus geo params.ai_overview text, with its source URLs.{title} — {snippet} ({url}).web_fetch it.Output as a structured digest, not free-form prose. Headings and lists matter.
Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.
npx claudepluginhub joinmassive/ai-toolkit --plugin massive