Google Analytics

Connects to the Google Analytics API to pull traffic metrics, user behavior data, and conversion stats, then helps you interpret what's actually happening on your site. You set up a service account with viewer access, point it at your GA4 property, and ask questions like "why is my bounce rate spiking" or "which traffic sources convert best." It comes with Python scripts for fetching data and includes metrics references and analysis examples. The real value is having Claude spot patterns in your analytics and suggest concrete fixes instead of just staring at dashboards. Works entirely with aggregated data, no PII involved.

skills.sh installs: 1.2K
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill google-analytics --agent claude-code

Installs into .claude/skills of the current project.

Files

Google Analytics Analysis

Analyze website performance using Google Analytics data to provide actionable insights and improvement recommendations.

Quick Start

1. Setup Authentication

This Skill requires Google Analytics API credentials. Set up environment variables:

export GOOGLE_ANALYTICS_PROPERTY_ID="your-property-id"
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"

Or create a .env file in your project root:

GOOGLE_ANALYTICS_PROPERTY_ID=123456789
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-key.json

Never commit credentials to version control. The service account JSON file should be stored securely outside your repository.

2. Install Required Packages

# Option 1: Install from requirements file (recommended)
pip install -r cli-tool/components/skills/analytics/google-analytics/requirements.txt

# Option 2: Install individually
pip install google-analytics-data python-dotenv pandas