clickhouse/agent-skills

infra-clickhouse

Sets up and manages ClickHouse using the clickhousectl CLI — installs and runs a local ClickHouse server for development, and creates managed ClickHouse Cloud services for production (authentication, service creation, schema migration, application connection).

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ClickHouse with clickhousectl

clickhousectl manages ClickHouse in two environments:

  • Local — ClickHouse installed and running on the user's machine, for development.
  • Cloud — managed ClickHouse Cloud services, for production: fully managed, automatic scaling, backups, and upgrades.

This file routes to the right reference. The step-by-step workflows live in ref/local.md and ref/cloud.md — read the one that matches the user's situation before running commands.

Which reference to use

The user wants to...Read
Build an app with ClickHouse, develop or prototype locally, no cloud account neededref/local.md
Go to production, host a managed ClickHouse, or use ClickHouse Cloud explicitlyref/cloud.md
Operate an existing cloud service (schemas, users, queries against it)ref/cloud.md
Develop locally now, ship to production laterStart with ref/local.md; it points to ref/cloud.md when it's time to go to prod

If it's genuinely ambiguous (e.g. "set up ClickHouse for my app"), default to local for development tasks and ask before creating anything in the cloud — cloud services cost money.

Prerequisites (both workflows)

Check that clickhousectl is installed:

bash
which clickhousectl

If not found, install it:

bash
curl -fsSL https://clickhouse.com/cli | sh

This installs to ~/.local/bin/clickhousectl (with a chctl alias). If the command is still not found, suggest export PATH="$HOME/.local/bin:$PATH" or a new terminal.

All commands accept --json for machine-readable output. Exit codes follow gh conventions: 0 success, 1 error, 2 cancelled, 4 auth required.

Related

  • When designing schemas, consult the clickhouse-best-practices skill for ORDER BY selection, data types, and partitioning.
  • For Postgres (local development or managed ClickHouse Cloud Postgres), use the infra-postgres skill.
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clickhouse
官方

clickhouse-best-practices

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 31 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

安装量
1054
GitHub Stars
547
最近更新
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clickhouse
官方

chdb-datastore

- 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 chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas", "speed up pandas", or cross-source DataFrame joins; user imports chd

安装量
1
GitHub Stars
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clickhouse
官方

clickstack-otel-collector

Use when a user wants to wire an OpenTelemetry collector into a Managed ClickStack service on ClickHouse Cloud, either by deploying a new local collector (Docker run or Docker Compose) or by configuring their own existing collector, then send rich synthetic telemetry and verify it is visible in ClickStack.

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clickhouse
官方

clickhouse-architecture-advisor

MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system designs. Complements clickhouse-best-practices with decision frameworks and explicit provenance labels.

安装量
2
GitHub Stars
541
最近更新
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