概要
This skill equips Claude with the domain-specific knowledge required to navigate Mozilla's complex telemetry ecosystem in BigQuery. It prioritizes the use of highly optimized aggregate tables over raw data, often resulting in 30x to 100x performance improvements. By enforcing critical constraints such as mandatory partition filters, sampling for development, and specific table hierarchies, it ensures that data analysis is both accurate and cost-effective. It is an essential tool for data scientists and engineers working with Firefox DAU/MAU, Glean metrics, or event-stream analysis.
