azure-kusto

Execute KQL queries against Azure Data Explorer for log analytics.

Updated Apr 11, 2026

Search Tags:#log analysis #telemetry #kql #kusto #adx

Ready to run

npx skills add https://github.com/jgezelscorp/Apex --skill azure-kusto-jgezelscorp

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: azure-kusto
Source: https://github.com/jgezelscorp/Apex/tree/main/.github/skills/azure-kusto
Command: npx skills add https://github.com/jgezelscorp/Apex --skill azure-kusto-jgezelscorp

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of querying and analyzing data in Azure Data Explorer (Kusto/ADX) using KQL, making it easy to perform log analytics, telemetry, and time series analysis.

Core Features & Use Cases

Query Execution: Run KQL queries against massive datasets for analysis, filtering, and aggregation.
Schema Exploration: Discover tables, columns, and data types to understand the data model.
Resource Management: List and manage Kusto clusters and databases.
Analytics: Perform aggregations, time series analysis, anomaly detection, and machine learning on Kusto data.
Use Case: For example, you can quickly analyze logs in your ADX cluster or execute a KQL query on a specific database.

Quick Start

Use the azure-kusto skill to query your Kusto database for the data pattern 'error messages from 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 run KQL queries for log analytics in Azure Data Explorer?▼

To run KQL queries for log analytics in Azure Data Explorer, you need access to an ADX cluster. This Skill executes filtering and aggregations against massive datasets to analyze telemetry and logs.

What is KQL used for in telemetry and time series analysis?▼

KQL is used in telemetry and time series analysis to perform aggregations, anomaly detection, and machine learning on Azure Data Explorer data. It enables querying massive datasets for pattern recognition and filtering.

Can I explore database schemas and manage Kusto clusters without writing KQL manually?▼

You can explore schemas and manage Kusto clusters through resource management features that list tables, columns, and data types. However, executing queries for analytics requires Kusto Query Language knowledge.

Do I need Azure Data Explorer access to analyze telemetry data with Kusto?▼

Yes, Azure Data Explorer access is required to analyze telemetry data with Kusto. The Skill connects to ADX environments to execute queries, explore schemas, and manage clusters and databases.

What's the best way to find error messages from the last hour in ADX logs?▼

The best way to find error messages from the last hour in ADX logs is executing a time-filtered KQL query. This Skill handles querying massive datasets to quickly analyze specific data patterns in your cluster.