Does it support real-time data ingestion?

Yes, the skill includes patterns for bulk inserts, streaming ingestion, and Change Data Capture (CDC) to handle high-frequency data updates efficiently.

Can it assist with Materialized Views?

Absolutely. It provides implementation guides for AggregatingMergeTree engines and materialized views to enable real-time, pre-aggregated analytics.

What types of analytics does it cover?

It includes specialized query patterns for time-series analysis, conversion funnels, user retention, and cohort analysis optimized for OLAP workloads.

What is the ClickHouse Claude Code Skill?

It is a specialized extension for Claude Code that provides expert guidance, SQL patterns, and best practices for managing and optimizing ClickHouse databases.

How does this skill help with query performance?

It offers specific patterns for index-first filtering, efficient aggregation functions, and proper use of column-oriented data types to minimize disk I/O and CPU usage.

ClickHouse Analytics & Data Engineering

Name: ClickHouse Analytics & Data Engineering
Author: webcrafters-belgium

bywebcrafters-belgium

0•

데이터베이스 관리

Implements high-performance analytical database patterns, query optimizations, and data engineering best practices for ClickHouse.

The ClickHouse Analytics & Data Engineering skill equips Claude with specialized knowledge for architecting and optimizing ClickHouse-driven analytical systems. It provides production-ready patterns for MergeTree engines, efficient materialized views, and complex OLAP queries like funnel and cohort analysis. Whether you are building real-time dashboards, designing ETL pipelines, or troubleshooting slow analytical queries, this skill ensures you leverage ClickHouse's column-oriented architecture for maximum performance and cost-efficiency.

주요 기능

01High-throughput bulk and streaming data insertion strategies

02Materialized view design for real-time data aggregation

030 GitHub stars

04Optimization of complex OLAP queries and window functions

05Performance monitoring and system table analysis workflows

06Advanced MergeTree engine selection and configuration patterns

사용 사례

01Building real-time analytics dashboards for high-volume event data

02Migrating traditional SQL workloads to column-oriented ClickHouse storage

03Implementing automated data retention and cohort analysis systems

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add webcrafters-belgium/webcrafters-studio clickhouse-io

For use in Claude.ai and ChatGPT

Download Skill