clickhouse-best-practices

Audit ClickHouse schemas, queries, and ingestion against 28 prioritized rules.

4|Updated Jan 24, 2026

Search Tags:#performance #partitioning #best-practices #query-optimization #clickhouse #schema-review #insert-strategy

Ready to run

npx skills add https://github.com/rahmatrdn/go-ch-manager --skill clickhouse-best-practices

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clickhouse-best-practices
Source: https://github.com/rahmatrdn/go-ch-manager/tree/main/.agents/skills/clickhouse-best-practices
Command: npx skills add https://github.com/rahmatrdn/go-ch-manager --skill clickhouse-best-practices

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured, rule-based framework for auditing ClickHouse schemas, queries, and ingestion pipelines to ensure performance, correctness, and maintainability.

Core Features & Use Cases

28 rules across three main categories (schema, query, insert) that guide safe, efficient design and operation.
Formal review procedures enabling consistent PK planning, data types, partitioning, and join optimization before changes reach production.
Quick-reference guidance that surfaces actionable citations from the rules directory during audits.

Quick Start

Review a ClickHouse project by applying the full 28-rule set and cite applicable rules in your recommendations.

Frequently Asked Questions about clickhouse-best-practices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit my ClickHouse schema and queries for performance issues?▼

Auditing ClickHouse schema and queries involves applying a 28-rule framework covering PK planning, data types, join optimization, insert strategy, and partitioning to identify design issues and generate a prioritized recommendations report.

What is the best way to optimize ClickHouse partitioning and primary keys?▼

Optimizing ClickHouse partitioning and primary keys requires structured rule-based review procedures that evaluate PK planning and data types first, ensuring safe and efficient schema design before changes reach production.

How do I improve ClickHouse insert strategy and ingestion pipeline efficiency?▼

Improving ClickHouse insert strategy and ingestion pipelines requires applying specific best-practice rules from the insert category to identify design violations and ensure correct, maintainable data ingestion.

Can I review ClickHouse join optimization using a structured rule set?▼

Reviewing ClickHouse join optimization uses a formal 28-rule set that evaluates join design within the query category, surfacing actionable citations to resolve performance bottlenecks during schema and query audits.

Does ClickHouse schema review work for large-scale production deployments?▼

ClickHouse schema review applies to large-scale production deployments by enforcing 28 best-practice rules across schema, query, and insert categories to ensure performance, correctness, and maintainability at scale.