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dialect-clickhouse

Assist developers in writing and debugging ClickHouse SQL with dialect-aware guidance.

11|6|Updated Nov 15, 2025
Search Tags:#sql#clickhouse#dialect#backticks#date-functions#formatDateTime
One-click install
npx skills add https://github.com/mako-ai/mako --skill dialect-clickhouse
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dialect-clickhouse
Source: https://github.com/mako-ai/mako/tree/main/api/src/agent-skills/dialect-clickhouse
Command: npx skills add https://github.com/mako-ai/mako --skill dialect-clickhouse

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines writing and debugging ClickHouse SQL by providing dialect-aware guidance for common syntax and engine quirks.

Core Features & Use Cases

  • Dialect-aware guidance for ClickHouse constructs including backtick identifiers, casts, date bucketing, string matching, and conditional aggregates.
  • Quick examples and best practices for writing efficient queries and avoiding engine-specific pitfalls.
  • Use cases include building dashboards, reporting, and data exploration with ClickHouse.

Quick Start

Run a simple ClickHouse query using backtick identifiers to verify dialect-aware syntax and basic parsing.

Frequently Asked Questions about dialect-clickhouse

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

FAQPage Schema
How do I write ClickHouse SQL with backtick identifiers and type casts?▼

ClickHouse SQL requires backtick identifiers for column and table names, and uses specific type cast syntax. Dialect-aware guidance ensures proper syntax usage for casts, backticks, and engine-specific parsing constraints.

What is the best way to use date bucketing functions in ClickHouse?▼

Date bucketing in ClickHouse uses functions like formatDateTime for grouping and formatting temporal data. Dialect-aware assistance provides quick examples and best practices for efficient date manipulation without hitting syntax errors.

Can I use ClickHouse string matching and conditional aggregates for dashboard reporting?▼

ClickHouse supports specialized string matching and conditional aggregates for building dashboards and reporting. Guidance covers dialect-specific syntax for these constructs to ensure queries run efficiently within engine constraints.

Why does my ClickHouse SQL query fail due to engine-specific limitations in older versions?▼

ClickHouse SQL has engine-specific constraints and older version limitations that cause query failures. Dialect-aware debugging identifies syntax pitfalls, older version restrictions, and engine quirks to streamline query troubleshooting.

Does ClickHouse SQL support standard SQL syntax or do I need dialect-specific adjustments?▼

ClickHouse SQL requires dialect-specific adjustments rather than standard SQL syntax. Dialect-aware guidance covers backtick identifiers, date functions, string matching, and conditional aggregates to avoid engine-specific pitfalls.

How to debug ClickHouse SQL errors when building data exploration queries?▼

Debugging ClickHouse SQL errors involves checking backtick identifiers, type casts, and engine-specific constraints. Dialect-aware assistance helps identify syntax issues and offers best practices for writing efficient exploration queries.

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