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google-analytics

Analyze Google Analytics metrics and traffic patterns via the Data API.

6|1|Updated Feb 27, 2026
Search Tags:#performance metrics#conversion optimization#traffic analysis#user behavior#google analytics#website analytics
One-click install
npx skills add https://github.com/RepairYourTech/cfsa-antigravity --skill google-analytics-repairyourtech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-analytics
Source: https://github.com/RepairYourTech/cfsa-antigravity/tree/main/.agent/skill-library/stack/analytics/google-analytics
Command: npx skills add https://github.com/RepairYourTech/cfsa-antigravity --skill google-analytics-repairyourtech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-analytics-data, python-dotenv, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you understand your website's performance by analyzing Google Analytics data, identifying traffic patterns, and suggesting data-driven improvements to boost engagement and conversions.

Core Features & Use Cases

  • Performance Review: Analyze key metrics like sessions, users, bounce rate, and conversion rates.
  • Traffic Analysis: Identify top traffic sources, understand user behavior, and pinpoint high-performing or underperforming pages.
  • Data-Driven Recommendations: Receive actionable suggestions for optimizing your website based on analytics insights.
  • Use Case: A user might ask, "What are our top traffic sources this month and how can we improve our conversion rate?"

Quick Start

Configure your Google Analytics API credentials and property ID using environment variables or a .env file, then install the required Python packages.

Frequently Asked Questions about google-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze website traffic patterns and user behavior to improve conversions?▼

You can analyze website traffic patterns and user behavior by fetching sessions, users, and bounce rates from Google Analytics data, which allows you to pinpoint high-performing pages and receive data-driven suggestions for conversion optimization.

Can I use Python and pandas to pull Google Analytics performance metrics automatically?▼

Yes, you can use Python and pandas to pull Google Analytics performance metrics automatically by integrating with the Google Analytics Data API to fetch and structure your website's session and conversion data for analysis.

What do I need to start querying my website's Google Analytics Data API for sessions and bounce rates?▼

To start querying the Google Analytics Data API for sessions and bounce rates, you need valid Google Analytics API credentials, a specific property ID, and a configured .env file to authenticate your requests.

How does traffic analysis suggest data-driven improvements for underperforming pages?▼

Traffic analysis suggests data-driven improvements by reviewing Google Analytics metrics like bounce rates and conversion data to identify underperforming pages, understand user behavior, and recommend actionable website optimizations.

Is this approach suitable for reviewing website analytics metrics at scale?▼

Yes, this approach is suitable for reviewing website analytics metrics at scale because it integrates directly with the Google Analytics Data API and leverages pandas to process extensive performance metrics and traffic source data efficiently.

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