Which Mozilla products are supported by this skill?

The skill supports discovery for Firefox Desktop (API/BigQuery), Firefox Android (Fenix), and Firefox iOS.

Does it provide live data from Mozilla?

Yes, it uses the WebFetch tool to query the live Mozilla ProbeInfo API, ensuring you receive the most current metric definitions.

Can it help me write BigQuery SQL for Glean data?

Absolutely. It identifies the correct table and column path and can generate example queries, including UNNEST logic for complex types like labeled counters.

How does it handle different metric types?

It includes a quick reference for simple types like counters and strings, as well as specialized handling for complex types like distributions and events.

Mozilla Probe Discovery

Name: Mozilla Probe Discovery
Author: akkomar

byakkomar

Analíticas y Monitorización

Discovers and documents Mozilla telemetry probes and Glean metrics across Firefox products.

Acerca de

Mozilla Probe Discovery is a specialized tool designed to navigate the complex landscape of Mozilla's telemetry and Glean instrumentation. By interfacing directly with the ProbeInfo API, it helps developers and data scientists find specific metrics for Firefox Desktop, Android, and iOS. The skill provides comprehensive metadata—including metric types, description, and ping data—while automatically generating Glean Dictionary links and BigQuery paths to streamline data analysis workflows.

Características Principales

Support for Firefox Desktop, Fenix (Android), and Firefox iOS platforms
0 GitHub stars
Automated querying of the Mozilla ProbeInfo API for real-time metric discovery
Automatic generation of Glean Dictionary URLs for visual documentation
Example SQL query generation for complex types like labeled counters and histograms
Metric-to-BigQuery mapping for SQL table and column paths

Casos de Uso

Verifying which pings contain a particular Glean metric during feature development
Locating specific search or accessibility metrics for telemetry analysis
Generating BigQuery SQL templates to jumpstart data science projects

Acerca de

Características Principales

Support for Firefox Desktop, Fenix (Android), and Firefox iOS platforms
0 GitHub stars
Automated querying of the Mozilla ProbeInfo API for real-time metric discovery
Automatic generation of Glean Dictionary URLs for visual documentation
Example SQL query generation for complex types like labeled counters and histograms
Metric-to-BigQuery mapping for SQL table and column paths

Casos de Uso

Verifying which pings contain a particular Glean metric during feature development
Locating specific search or accessibility metrics for telemetry analysis
Generating BigQuery SQL templates to jumpstart data science projects