A professional AI agent skill for retrieving and analyzing website performance data directly from the Yandex Metrika API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install metrika-analysis
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install metrika-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Metrika Analysis skill enables AI agents to interface seamlessly with the Yandex Metrika API to extract deep insights into website performance. By using this Openclaw Skills extension, users can query their web analytics using natural language to identify traffic trends, monitor conversion goals, and evaluate visitor engagement metrics. The skill is designed with a focus on data privacy and token efficiency, ensuring that website counters remain unchanged while providing high-value technical audits.
This skill transforms raw analytics into actionable intelligence. It allows developers and marketers to bypass manual dashboard navigation by programmatically fetching metrics like session depth, bounce rates, and traffic sources. Whether you are troubleshooting a drop in conversions or optimizing landing page content, Metrika Analysis provides the data-driven foundation required for modern web optimization workflows.
To use this skill, ensure you have your Yandex Metrika API credentials ready. Configure your environment variables as follows:
# Set your Yandex Metrika API access token
export METRIKA_TOKEN="your_access_token_here"
# Set the specific Counter ID for the website you want to analyze
export COUNTER_ID="your_counter_id_here"
The skill processes and organizes analytics data according to the following schema:
| Metric | Description | Category |
|---|---|---|
| visits | Total number of unique sessions and visitors | Traffic |
| bounce_rate | Percentage of visitors who left after one page | Engagement |
| page_depth | Average number of pages viewed per session | Engagement |
| conversion_rate | Percentage of users completing defined goals | Performance |
| traffic_sources | Breakdown by organic, direct, social, and referral | Attribution |
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