What is the clickhouse-io skill for Claude Code?

It is a specialized capability that provides Claude with domain-specific patterns for ClickHouse database design, high-performance query writing, and data engineering best practices.

How does it handle data ingestion?

The skill provides patterns for bulk and streaming inserts, helping developers avoid the common mistake of small, frequent writes that can degrade ClickHouse performance.

How does this skill improve query performance?

It guides the user in using ClickHouse-specific functions, proper indexing, and effective filtering techniques to ensure queries run efficiently on large datasets.

Does it support materialized views?

Yes, it includes specific patterns for creating and querying materialized views for real-time data aggregation and performance monitoring.

ClickHouse Performance & Analytics

Name: ClickHouse Performance & Analytics
Author: affaan-m

byaffaan-m

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34,604

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Database Management

Provides high-performance ClickHouse patterns for analytical workloads, query optimization, and efficient data engineering.

This skill equips Claude with specialized knowledge for ClickHouse, a powerful column-oriented OLAP database designed for fast analytical processing. It provides implementation patterns for various MergeTree engines, materialized views, and real-time aggregations, while offering specific guidance on efficient batch insertion and complex analytical queries like cohort and funnel analysis. It is an essential resource for developers building data-intensive applications that require sub-second responses on massive datasets.

Key Features

0134,604 GitHub stars

02Advanced MergeTree engine table design and partitioning patterns

03Optimized SQL query patterns for high-performance filtering and indexing

04Pre-built analytics logic for cohort, funnel, and retention analysis

05Materialized view templates for real-time pre-aggregation and state management

06Batch and streaming data insertion strategies for high-throughput ingestion

Use Cases

01Building robust ETL pipelines to sync application data into an OLAP environment

02Designing highly compressed, partitioned tables for time-series and event data

03Optimizing slow analytical queries using ClickHouse-specific aggregation functions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add affaan-m/everything-claude-code clickhouse-io

For use in Claude.ai and ChatGPT

Download Skill