This one covers ClickHouse table design and query optimization for OLAP workloads. You get patterns for choosing the right MergeTree engine variant (standard, ReplacingMergeTree for deduplication, AggregatingMergeTree for pre-aggregations), along with query examples that show the difference between fast and slow approaches. The materialized views section is solid for real-time dashboards, and there are practical templates for time series analysis, retention cohorts, and funnel queries. The bulk insert patterns matter because ClickHouse really punishes row-by-row inserts. Use this when you're moving analytics off Postgres or building something that needs to crunch millions of rows without melting your infrastructure.
npx -y skills add affaan-m/everything-claude-code --skill clickhouse-io --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
prisma/skills
supabase/agent-skills
syahiidkamil/software-engineer-ai-agent-atlas
neondatabase/agent-skills
firebase/agent-skills
firebase/agent-skills