GargantuaX

GargantuaX / skills

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Analytical skills for AI agents( google-analytics,google-search-console,google-trends,microsoft-clarity )

19
1
100% credibility
Found Apr 15, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of tools that pull website data from popular analytics services and turn it into easy-to-read reports for AI assistants to analyze site performance daily.

How It Works

1
🕵️‍♀️ Discover smart site checkers

You hear about handy tools that let your AI helper watch your website's visitors and searches every day.

2
🔗 Link your accounts

You safely connect your visitor tracker, search reports, trend watcher, and user behavior tools so your AI can peek inside.

3
🚀 Add to your AI buddy

You snap these checkers onto your AI assistant, making it ready to scan your site automatically.

4
Set daily reviews

You tell your AI to check your site's health each morning, pulling fresh numbers without you lifting a finger.

5
💡 Spot hidden issues

Your AI highlights pages losing visitors, searches going unnoticed, frustrated clicks, and hot new trends begging for content.

6
📊 Get fix ideas

You review simple reports with what went wrong and smart suggestions to tweak titles, pages, or add new ones.

📈 Watch your site thrive

Your website attracts more visitors, keeps them happier longer, and your AI learns your business better each day.

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Star Growth

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AI-Generated Review

What is skills?

This Python repo delivers analytical skills for AI agents, pulling structured data from GA4, Search Console, Google Trends, and Microsoft Clarity into JSON agents can parse and query. It solves the dashboard data trap—traffic bleeds unnoticed—by enabling daily sweeps that flag dropping pages, emerging queries, rage clicks, and anomalies, feeding straight into agent-driven code fixes like meta rewrites or content gaps. Perfect for analytical skills examples in AI and data science, or prepping analytical skills interview questions with real pipelines.

Why is it gaining traction?

Unlike raw API wrappers, it closes the loop: auto-pull via cron, baseline comparisons, prioritized insights (e.g., low-CTR queries in positions 3-15), and agent memory for sharper future runs—skills github claude or copilot users will hook onto fast. CLI install via `pnpm dlx skills add` symlinks skills to your agent dir; shared Google service accounts cut setup friction. It's the analytical skills synonym for "agentic site health," with Trends radar scoring keywords by intent (tools, questions) for content opps.

Who should use this?

SEO engineers or fullstack devs automating site monitoring with AI agents (Claude, Copilot CLI/VSCode). Indie hackers running daily analytics flywheels to catch Trends signals early. Teams needing analytical skills test beds—skills deutsch for "Fähigkeiten"—before interviews, via GSC query opps or Clarity frustration scores.

Verdict

Grab it if you're prototyping agent workflows—docs shine on setup/auth, tests cover regressions—but 19 stars and 1.0% credibility scream early alpha; expect tweaks for prod. Solid for skills github repo experiments, less for mission-critical.

(198 words)

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