@clickhouse

clickhousectl-local-dev provides a structured workflow for installing clickhousectl, deploying a local clickhouse instance, defining schemas, and seeding development data through numbered steps with practical examples.

clickhouse-architecture-advisor guides workload-specific design decisions by classifying recommendations as official, derived, or field-based, with required decision rule lookups and provenance tracking to avoid conflating guidance types.

Write idiomatic application code with the ClickHouse Node.js client (`@clickhouse/client`). Use this skill whenever a user is *building* against the Node.js…

Troubleshoot and resolve common issues with the ClickHouse Node.js client (@clickhouse/client). Use this skill whenever a user reports errors, unexpected…

Use when a user wants to deploy ClickHouse to the cloud, go to production, use ClickHouse Cloud, host a managed ClickHouse service, or migrate from a local…

Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides…

Use when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL,…

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 31 rules that MUST be checked before providing recommendations. Always read…