Does it support data visualization patterns?

Yes, it supports KQL rendering hints like timecharts and barcharts, and can perform advanced aggregations suitable for generating visual insights from raw data.

Can I use this for Azure SQL or Cosmos DB?

No, this skill is specifically designed for Azure Data Explorer (Kusto). For SQL databases, use the azure-postgres skill, and for NoSQL, use the azure-storage skill.

What happens if the specific Kusto MCP tools fail?

The skill includes a fallback strategy using Azure CLI commands, ensuring you can still manage clusters and run queries even if primary tools are unavailable.

How does the skill handle large datasets?

The skill implements KQL best practices, such as encouraging early filtering and the use of 'take' or 'limit' operators to ensure efficient query performance and avoid data overhead.

What query language does this skill use?

This skill uses Kusto Query Language (KQL), a powerful and intuitive language optimized for high-performance telemetry and log analytics in Azure Data Explorer.

Azure Data Explorer (Kusto) Analytics

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

byMoonAxis

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Analytics & Monitoring

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

This skill empowers Claude to interact directly with Azure Data Explorer (ADX) using Kusto Query Language (KQL), facilitating seamless data exploration and complex analytics on massive datasets. It allows users to discover database schemas, run sophisticated queries for IoT telemetry, analyze security logs, and perform advanced time series analysis with sub-second performance. By integrating these capabilities into the development workflow, users can troubleshoot production issues, detect anomalies, and derive business insights from billions of records without leaving the terminal.

Key Features

01Automatic schema discovery for ADX tables and columns

02Advanced time series analysis and anomaly detection

03Multi-table correlation and complex data joins

042 GitHub stars

05Comprehensive cluster and database resource management

06High-speed KQL query execution on massive datasets

Use Cases

01Analyzing high-volume IoT sensor data for pattern recognition and telemetry monitoring

02Performing security analytics and threat hunting within SIEM and audit datasets

03Troubleshooting application issues by querying live log streams and system events

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add moonaxis/azure-stack azure-kusto

For use in Claude.ai and ChatGPT