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Data, Research & Analysis

seo-google

SEO Google is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on google seo apis: search console (search analytics, url inspection, sitemaps), pagespeed insights v5,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

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What this Skill does

SEO Google is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on google seo apis: search console (search analytics, url inspection, sitemaps), pagespeed insights v5,…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", or "real CWV data".

Compatibility and requirements

  • Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
  • Confirm the source repository's tools, SDKs, and platform prerequisites for api design work.

How to install or import it

  • Open the linked GitHub SKILL.md and review its scope and setup instructions.
  • Install or import the skill using the agent runtime's documented workflow.
  • Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

  • Review every command, file path, network request, dependency, and credential scope before enabling it.
  • GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

  • Ask an AI agent to apply SEO Google to api design work described in the source record.
  • Have the agent state assumptions, required tools, and expected output before using this data, research & analysis skill.
  • Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.

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