← ClaudeAtlas

azure-kustolisted

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. USE FOR: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection DO NOT USE FOR: SQL databases (use azure-postgres), NoSQL queries (use azure-storage), Elasticsearch, AWS analytics tools
aiskillstore/marketplace · ★ 329 · DevOps & Infrastructure · score 79
Install: claude install-skill aiskillstore/marketplace
# 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. ## Skill Activation Triggers **Use this skill immediately when the user asks to:** - "Query my Kusto database for [data pattern]" - "Show me events in the last hour from Azure Data Explorer" - "Analyze logs in my ADX cluster" - "Run a KQL query on [database]" - "What tables are in my Kusto database?" - "Show me the schema for [table]" - "List my Azure Data Explorer clusters" - "Aggregate telemetry data by [dimension]" - "Create a time series chart from my logs" **Key Indicators:** - Mentions "Kusto", "Azure Data Explorer", "ADX", or "KQL" - Log analytics or telemetry analysis requests - Time series data exploration - IoT data analysis queries - SIEM or security analytics tasks - Requests for data aggregation on large datasets - Performance monitoring or APM queries ## 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, tim