
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-codeInstalls 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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