The azure-kusto skill enables users to execute Kusto Query Language (KQL) queries and manage Azure Data Explorer resources for analyzing logs, telemetry, and time series data at scale. It serves data engineers, DevOps professionals, and analysts who need to perform fast, sub-second queries on billions of records for log analytics, IoT telemetry, anomaly detection, and performance monitoring. The skill solves the problem of querying and exploring massive datasets efficiently by providing KQL execution, schema discovery, resource management, and built-in analytics capabilities like aggregations and time series analysis.

skills.sh installs
103K
GitHub stars
217
last updated
Jun 11, 2026

Install

$ npx -y skills add microsoft/github-copilot-for-azure --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/github-copilot-for-azure
Categories
Backend & APIs, Git & Pull Requests, AI & Agent Building, Data Science & ML, Marketing & SEO, Cloud & Infrastructure, Databases

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