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Azure Kusto

Connects Claude to Azure Data Explorer for running KQL queries against massive log and telemetry datasets. Handles the full workflow from discovering clusters and databases to executing complex time series analytics and aggregations. Built by Microsoft, so the KQL patterns and query optimization advice are solid. The fallback to Azure CLI commands is smart since ADX queries can timeout on large datasets. Most useful when you're doing log analysis, IoT data exploration, or building dashboards from billions of records where you need sub-second query performance and don't want to write the Azure SDK integration yourself.

skills.sh installs
658K
GitHub stars
1.6K
last updated
Aug 21, 2026

Install

$ npx -y skills add microsoft/azure-skills --skill azure-kusto --agent claude-code

Installs into .claude/skills of the current project.

Files

Azure Data Explorer (Kusto) Query & Analytics

Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.

Overview

This skill enables querying and managing Azure Data Explorer (Kusto), a fast and highly scalable data exploration service optimized for log and telemetry data. Azure Data Explorer provides sub-second query performance on billions of records using the Kusto Query Language (KQL).

Key capabilities:

  • Query Execution: Run KQL queries against massive datasets
  • Schema Exploration: Discover tables, columns, and data types
  • Resource Management: List clusters and databases
  • Analytics: Aggregations, time series, anomaly detection, machine learning

Core Workflow

Sponsors

Details

Repository
github.com/microsoft/azure-skills
Categories
Backend & APIs, Data Science & ML, Marketing & SEO, Cloud & Infrastructure, Databases
First seen
Apr 16, 2026

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