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Google Analytics

Checked
davila7·vlatest·data·MIT

Analyze Google Analytics data to identify trends, user behavior, and campaign performance insights.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill google-analytics -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/analytics/google-analytics/SKILL.md
Scanned
6 files, 1,667 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Google Analytics skill allows AI agents to access and analyze data from Google Analytics accounts. It enables users to retrieve metrics such as user behavior, traffic sources, conversion rates, and session data directly within an AI workflow.

When to use it

  • To generate reports on website performance based on real-time or historical analytics data.
  • For automating the extraction of key performance indicators (KPIs) for marketing campaigns.
  • When integrating analytics insights into customer journey mapping or user segmentation strategies.
  • To provide actionable recommendations based on traffic and engagement trends.

Key capabilities

  • Access to Google Analytics 4 (GA4) data sources
  • Retrieval of metrics like sessions, bounce rate, conversion rates, and user demographics
  • Integration with AI workflows for automated analysis and reporting

Example prompts

  • "Generate a weekly report on user engagement from our website using Google Analytics data."
  • "What are the top traffic sources for our blog in the last month?"
  • "Extract conversion rate data for the 'Sign Up' event across all devices."

Tips & gotchas

  • Ensure proper authentication and API access permissions are configured before use.
  • Data retrieval may be limited by Google Analytics’ sampling policies for large datasets.