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azure-kusto

Execute KQL queries on Azure Data Explorer for log analytics and time series analysis.

12|1|Updated Mar 15, 2026
Search Tags:#telemetry#log analytics#kql#kusto#adx#time series analysis
One-click install
npx skills add https://github.com/jorgeasaurus/agent-skills --skill azure-kusto-jorgeasaurus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-kusto
Source: https://github.com/jorgeasaurus/agent-skills/tree/main/azure-kusto
Command: npx skills add https://github.com/jorgeasaurus/agent-skills --skill azure-kusto-jorgeasaurus

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the problem of efficiently querying and analyzing large datasets in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis.

Core Features & Use Cases

  • Query Execution: Run KQL queries against massive datasets.
  • Schema Exploration: Discover tables, columns, and data types.
  • Resource Management: List clusters and databases.
  • Analytics: Perform aggregations, time series analysis, anomaly detection, and machine learning.
  • Use Case: Analyze IoT telemetry, detect anomalies, and create time series charts for performance monitoring.

Quick Start

Use the azure-kusto skill to run a KQL query on your Kusto database.

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 on Azure Data Explorer?▼

You can execute KQL queries directly on Azure Data Explorer to perform log analytics, telemetry analysis, and time series monitoring on massive datasets. The Skill handles query execution, schema exploration, and resource management.

What is the best way to analyze IoT telemetry and detect anomalies in Azure Data Explorer?▼

To analyze IoT telemetry and detect anomalies in Azure Data Explorer, you can run KQL queries that perform aggregations and time series analysis. This allows you to identify data anomalies and create time series charts for performance monitoring.

Can I explore database schemas and manage resources in Kusto without writing manual scripts?▼

Yes, you can discover tables, columns, and data types through schema exploration, and list available clusters and databases for resource management. This is handled natively by the Skill's execution logic without manual scripting.

Does this approach support time series analysis and machine learning on massive datasets?▼

Time series analysis and machine learning are fully supported on massive datasets within Azure Data Explorer. You can perform aggregations, anomaly detection, and advanced analytics by executing appropriate KQL queries.

What do I need to start querying my Kusto database for telemetry data?▼

To start querying your Kusto database, you need an accessible Azure Data Explorer cluster and database. The Skill then executes your KQL queries against these resources to return telemetry and log analytics results.

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