by affaan-m
clickhouse-io is a ClickHouse-focused skill for schema design, analytical SQL, ingestion patterns, and performance tuning. Use it to guide MergeTree choices, partitioning, materialized views, and workload-specific query optimization.
by ClickHouse
clickhousectl-local-dev is a setup-oriented skill for Database Engineering. It helps you install clickhousectl, install a local ClickHouse binary, initialize a project, create tables, and start querying with a practical local workflow.
by ClickHouse
clickhousectl-cloud-deploy is a ClickHouse Cloud deployment skill for setting up a managed service with clickhousectl. Use it for clickhousectl-cloud-deploy install, clickhousectl-cloud-deploy usage, account setup, CLI authentication, service creation, schema migration, and app connection from local ClickHouse to the cloud.
by ClickHouse
clickhouse-best-practices is a ClickHouse best practices skill for Database Engineering. It guides schema design, query tuning, insert strategy, and agent connectivity with rule-based recommendations, making clickhouse-best-practices usage easier to trigger, review, and cite in ClickHouse workflows.
by ClickHouse
clickhouse-architecture-advisor helps design ClickHouse workloads with workload-aware decisions for ingestion, partitioning, joins, dictionaries, upserts, and pre-aggregation. It is especially useful for Backend Development, observability, SIEM, product analytics, IoT telemetry, and financial pipelines. The skill labels guidance as official, derived, or field.
by ClickHouse
chdb-datastore is a pandas-compatible skill for fast data analysis with a ClickHouse-backed DataStore API. It supports file, database, and cloud connectors, cross-source joins, and minimal code changes for pandas-style workflows. Use this chdb-datastore guide when you want a drop-in analysis layer for larger datasets.
by ClickHouse
chdb-sql is a GitHub skill for running ClickHouse SQL in Python without a server. It covers chdb.query(), Session, DB-API connections, table functions like file() and s3(), parametrized queries, and backend development workflows for local files and external data sources.
