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azure-kusto

Query Azure Data Explorer clusters using Kusto Query Language.

Updated Aug 27, 2026
Search Tags:#azure#time series#data explorer#telemetry#log analytics#kql#kusto
One-click install
npx skills add https://github.com/MoonAxis/azure-stack --skill azure-kusto-moonaxis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-kusto
Source: https://github.com/MoonAxis/azure-stack/tree/main/skills/azure-kusto
Command: npx skills add https://github.com/MoonAxis/azure-stack --skill azure-kusto-moonaxis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows users to query and analyze vast amounts of log, telemetry, and time series data stored in Azure Data Explorer (Kusto) using the Kusto Query Language (KQL), enabling efficient data-driven insights.

Core Features & Use Cases

  • KQL Query Execution: Run complex KQL queries against large datasets for analysis.
  • Schema Exploration: Discover table structures and data types within Kusto databases.
  • Resource Management: List Kusto clusters and databases within an Azure subscription.
  • Use Case: Analyze application logs to identify error patterns, monitor IoT device telemetry for anomalies, or perform security audits on audit logs.

Quick Start

Use the azure-kusto skill to query the 'Logs' table in the 'MyDatabase' database on the 'MyCluster' cluster for events in the last hour.

Frequently Asked Questions about azure-kusto

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

FAQPage Schema
How do I query Azure Data Explorer using KQL?▼

You can query Azure Data Explorer by executing Kusto Query Language statements to analyze vast amounts of log, telemetry, and time series data for insights.

What is Kusto Query Language used for in log analytics?▼

Kusto Query Language is used in log analytics to run complex queries on large datasets, identify application error patterns, monitor IoT telemetry, and perform security audits.

How do I discover table schemas in an Azure Data Explorer database?▼

You can discover table structures and data types within Kusto databases using schema exploration tools to understand your data layout before executing queries.

Can I list Kusto clusters and databases within my Azure subscription?▼

Yes, you can list Kusto clusters and databases within your Azure subscription using resource discovery features to efficiently navigate available Azure Data Explorer resources.

What is the best way to analyze time series data in Azure Data Explorer?▼

The best way to analyze time series data in Azure Data Explorer is by executing KQL queries, which support efficient data interaction for monitoring anomalies in telemetry and logs.

Do I need Azure Data Explorer to run KQL queries for telemetry analysis?▼

Yes, you need Azure Data Explorer to run KQL queries for telemetry analysis, as the platform utilizes specific tools to interact with clusters and manage large-scale telemetry data.

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