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mahmoud20138
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azure-kusto

Query and analyze Azure Data Explorer data with KQL.

10|2|Updated Mar 8, 2026
Search Tags:#azure#time series#data explorer#telemetry#log analytics#kql#kusto
One-click install
npx skills add https://github.com/mahmoud20138/Claude-Skills-Collection --skill azure-kusto-mahmoud20138
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-kusto
Source: https://github.com/mahmoud20138/Claude-Skills-Collection/tree/main/02-Azure-Skills/skills/azure-kusto
Command: npx skills add https://github.com/mahmoud20138/Claude-Skills-Collection --skill azure-kusto-mahmoud20138

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 ADX clusters.
  • Data Analysis: Perform aggregations, time-series analysis, and anomaly detection.
  • Schema Exploration: Understand table structures and data models.
  • Use Case: Analyze application logs to identify error patterns, monitor IoT device telemetry in real-time, or perform security analytics on audit trails.

Quick Start

Query my Kusto database for all errors that occurred in the last 24 hours.

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 for log analytics?▼

You can query Azure Data Explorer using KQL by executing Kusto Query Language statements against your ADX clusters to perform log analytics, aggregations, and anomaly detection. This Skill supports complex KQL queries to analyze application logs and identify error patterns.

Can I use this to analyze time series data and IoT telemetry?▼

Yes, you can analyze time series data and IoT telemetry by running KQL queries against your Kusto database. The Skill enables real-time monitoring of IoT device telemetry and time-series analysis directly within Azure Data Explorer.

Does this Skill support querying SQL databases or Elasticsearch?▼

No, this Skill does not support SQL databases, NoSQL queries, Elasticsearch, or AWS analytics tools. It is specifically designed to query and analyze data in Azure Data Explorer (ADX) clusters using Kusto Query Language.

What is the best way to explore table schemas in a Kusto database?▼

The best way to explore table schemas in a Kusto database is by using this Skill's schema exploration capabilities to understand table structures and data models. This allows you to map out your ADX cluster before running complex KQL queries.

How do I perform anomaly detection on telemetry data stored in ADX?▼

You perform anomaly detection on telemetry data stored in ADX by executing KQL queries that run aggregations and time-series analysis. This allows you to identify unusual patterns in IoT telemetry or application logs within Azure Data Explorer.

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