Can this skill help me write KQL queries?

Yes, it provides best practices for KQL schema design, query optimization, and handling complex data formats like JSON.

Does this skill support Azure Synapse Analytics?

No, this skill is specifically for Azure Data Explorer (ADX). For Synapse, use the azure-synapse-analytics skill instead.

How does it stay up to date with Azure changes?

The skill requires network access to fetch the latest documentation directly from Microsoft Learn, ensuring current information.

Does it cover ADX security configurations?

Absolutely, it includes detailed guidance on RBAC, managed identities, private endpoints, and data encryption (CMK).

Can it assist with Power BI integration?

Yes, it provides specific best practices and architectural patterns for connecting ADX to Power BI and other visualization tools.

Azure Data Explorer Expert

Name: Azure Data Explorer Expert
Author: atc-net

byatc-net

•

데이터베이스 관리

Provides specialized guidance for architecting, managing, and optimizing Azure Data Explorer clusters and Kusto Query Language development.

The Azure Data Explorer skill empowers AI agents with expert-level knowledge for building and maintaining ADX environments. It covers the full lifecycle of data analytics, from cluster configuration and security setup (RBAC, private endpoints) to high-performance ingestion strategies and complex KQL query optimization. Whether you are troubleshooting connection issues, designing disaster recovery patterns, or integrating with Power BI and Python, this skill provides the necessary architectural patterns and best practices to ensure a scalable and secure big data platform.

주요 기능

01Advanced troubleshooting for cluster health and ingestion errors

02Architectural patterns for multi-tenant and disaster recovery deployments

03Integration guidance for Power BI, Python, and Azure ecosystem tools

041 GitHub stars

05Best practices for KQL schema design and query optimization

06Security configuration for RBAC, managed identities, and private endpoints

사용 사례

01Configuring and scaling ADX clusters for high-concurrency analytics workloads

02Optimizing data ingestion pipelines and handling duplicate or invalid data

03Setting up secure network isolation and managed identity authentication

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add atc-net/atc-agentic-toolkit azure-data-explorer

For use in Claude.ai and ChatGPT

주요 기능

01Advanced troubleshooting for cluster health and ingestion errors

02Architectural patterns for multi-tenant and disaster recovery deployments

03Integration guidance for Power BI, Python, and Azure ecosystem tools

041 GitHub stars

05Best practices for KQL schema design and query optimization

06Security configuration for RBAC, managed identities, and private endpoints

사용 사례

01Configuring and scaling ADX clusters for high-concurrency analytics workloads

02Optimizing data ingestion pipelines and handling duplicate or invalid data

03Setting up secure network isolation and managed identity authentication

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add atc-net/atc-agentic-toolkit azure-data-explorer

For use in Claude.ai and ChatGPT