Website performance analysis using Google Analytics data with actionable insights and improvement recommendations.
Works with
Connects to Google Analytics API via service account authentication to fetch traffic, engagement, acquisition, and conversion metrics
Analyzes trends across sessions, users, bounce rates, traffic sources, and conversion funnels with period-over-period comparisons
Provides prioritized improvement suggestions with expected impact and implementation guidance based on identi
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongoogle-analyticsExecute the skills CLI command in your project's root directory to begin installation:
Fetches google-analytics from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate google-analytics. Access via /google-analytics in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Analyze website performance using Google Analytics data to provide actionable insights and improvement recommendations.
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.
# 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
Once configured, I can:
Ask me questions like:
When you ask me to analyze Google Analytics data, I will:
For detailed metric definitions and dimensions, see REFERENCE.md.
For complete analysis patterns and use cases, see EXAMPLES.md.
The Skill includes utility scripts for API interaction:
python scripts/ga_client.py --days 30 --metrics sessions,users,bounceRate
python scripts/analyze.py --period last-30-days --compare previous-period
The scripts handle API authentication, data fetching, and basic analysis. I'll interpret the results and provide actionable recommendations.
Authentication Error: Verify that:
GOOGLE_APPLICATION_CREDENTIALS points to a valid service account JSON fileGOOGLE_ANALYTICS_PROPERTY_ID matches your GA4 property ID (not the measurement ID)No Data Returned: Check that:
Import Errors: Install required packages:
pip install google-analytics-data python-dotenv pandas
.env files for configuration.env and credential files to .gitignoreThis Skill accesses aggregated analytics data only. It does not:
All data is processed locally and used only to generate recommendations during the conversation.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
davila7/claude-code-templates
davila7/claude-code-templates
davila7/claude-code-templates
davila7/claude-code-templates
davila7/claude-code-templates
kostja94/marketing-skills
google-analytics reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: google-analytics is focused, and the summary matches what you get after install.
We added google-analytics from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: google-analytics is the kind of skill you can hand to a new teammate without a long onboarding doc.
google-analytics reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for google-analytics matched our evaluation — installs cleanly and behaves as described in the markdown.
google-analytics fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
google-analytics reduced setup friction for our internal harness; good balance of opinion and flexibility.
google-analytics is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
google-analytics reduced setup friction for our internal harness; good balance of opinion and flexibility.
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