This is a comprehensive pattern library for ClickHouse, the columnar OLAP database built for analytical workloads. You get concrete examples of table engine choices (MergeTree for general use, ReplacingMergeTree for deduplication, AggregatingMergeTree for pre-aggregated metrics), query optimization techniques, and bulk insert patterns that actually matter at scale. The materialized views section shows how to build real-time aggregations, and there are ready-to-use queries for retention analysis, funnel tracking, and cohort analysis. If you're running analytics on large datasets and need sub-second query times, this covers the practical patterns you'll actually implement. The performance monitoring queries alone are worth having around when things get slow.
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill clickhouse-io