How does this skill improve ClickHouse query performance?

It provides specific patterns for indexing, sorting keys, and utilizing column-specific aggregation functions to minimize disk I/O and maximize CPU efficiency.

Can this skill help with data ingestion?

Yes, it includes best practices for batch and streaming insertions, as well as ETL and Change Data Capture (CDC) patterns for syncing external databases.

Is this skill suitable for time-series analysis?

Yes, the skill includes optimized query patterns for time-series data, daily active user tracking, and complex retention analysis.

Does it cover different ClickHouse table engines?

Absolutely, it provides schema examples and use cases for standard MergeTree, ReplacingMergeTree for deduplication, and AggregatingMergeTree for pre-aggregation.

ClickHouse Analytics & Data Engineering

Name: ClickHouse Analytics & Data Engineering
Author: Nixdorfer

byNixdorfer

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Database Management

Provides optimized ClickHouse database schemas, high-performance query patterns, and data engineering best practices for OLAP workloads.

This skill equips Claude with specialized knowledge for architecting and managing ClickHouse databases, the industry standard for real-time analytical processing (OLAP). It offers expert guidance on MergeTree engine variations, advanced SQL query optimization techniques, materialized views, and efficient batch insertion patterns. Whether you are building real-time dashboards, time-series analysis tools, or complex ETL pipelines, this skill ensures your ClickHouse implementation follows performance-first best practices to handle massive datasets with ease.

Key Features

011 GitHub stars

02High-performance SQL query optimization and aggregation patterns

03Materialized view implementation for real-time metric aggregation

04Batch and streaming data insertion patterns for Node.js environments

05Advanced MergeTree engine table design and partitioning strategies

06Pre-built templates for time-series, funnel, and cohort analysis

Use Cases

01Building efficient data ingestion pipelines to sync PostgreSQL or other sources into ClickHouse

02Optimizing slow-running OLAP queries to improve dashboard performance and reduce resource usage

03Designing scalable analytical databases for large-scale log monitoring or user behavior tracking

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nixdorfer/claudecodetool clickhouse-io

For use in Claude.ai and ChatGPT

Download Skill