What permissions are required to use this skill?

Users generally need at least a 'Viewer' role on the target Azure Data Explorer database to execute queries and explore data.

Is KQL syntax supported for complex aggregations?

Absolutely. The skill supports full KQL syntax including summarize, bin, join, and render for creating time charts and other visualizations.

What is the Azure Kusto skill for Claude Code?

It is a specialized capability that enables Claude to execute KQL queries and manage Azure Data Explorer (ADX) resources for big data and log analytics.

What should I do if a Kusto query times out?

The skill includes a fallback strategy using Azure CLI. You should also optimize queries by adding time filters (using ago()) and limiting results with 'take' or 'limit'.

Can I use this skill to find database schemas?

Yes, the skill includes tools like kusto_table_schema_get to retrieve table structures, columns, and data types before running queries.

Azure Data Explorer (Kusto) Analytics

Name: Azure Data Explorer (Kusto) Analytics
Author: JantonioFC

byJantonioFC

•

Analíticas y Monitorización

Executes KQL queries and manages Azure Data Explorer resources for high-performance big data analytics on logs and telemetry.

The Azure Kusto skill empowers Claude to interact directly with Azure Data Explorer (ADX), enabling advanced data exploration, log analytics, and time series analysis. By leveraging the Kusto Query Language (KQL), users can perform complex aggregations, anomaly detection, and schema discovery across massive datasets. This skill is essential for developers and SREs who need to troubleshoot production logs, monitor IoT telemetry, or analyze security events with sub-second query performance directly within their development workflow.

Características Principales

01Advanced data aggregation and correlation across multiple tables

02Execute complex KQL queries against ADX clusters

032 GitHub stars

04Discover and explore database schemas and table structures

05Perform time series analysis and IoT telemetry monitoring

06List and manage Azure Data Explorer clusters and databases

Casos de Uso

01Monitoring real-time IoT device telemetry and detecting anomalies

02Analyzing application logs and system events for root cause analysis

03Running security analytics and SIEM queries for threat detection

Características Principales

01Advanced data aggregation and correlation across multiple tables

02Execute complex KQL queries against ADX clusters

032 GitHub stars

04Discover and explore database schemas and table structures

05Perform time series analysis and IoT telemetry monitoring

06List and manage Azure Data Explorer clusters and databases

Casos de Uso

01Monitoring real-time IoT device telemetry and detecting anomalies

02Analyzing application logs and system events for root cause analysis

03Running security analytics and SIEM queries for threat detection