Agent skill · DevOps & Cloud

azure-kusto

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.

Microsoft293,217★ · +1,988/wk · 14 repos on radarProfile →
claude-codeMIT
Install
npx skills add microsoft/azure-skills --skill azure-kusto --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.2.1
Declared author: Microsoft
Path: skills/azure-kusto/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,353
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 bil

What's inside
Steps it walks through
  1. Skill Activation Triggers
  2. Overview
  3. Core Workflow
  4. Query Patterns
  5. Pattern 1: Basic Data Retrieval
  6. Pattern 2: Aggregation Analysis
  7. Pattern 3: Time Series Analytics
  8. Pattern 4: Join and Correlation
  9. Pattern 5: Schema Discovery
  10. Key Data Fields
  11. Result Format
  12. KQL Best Practices
  13. Best Practices
  14. MCP Tools Used
Commands it runs
az rest --method post \
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About this skill
What does the azure-kusto skill do?

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.

How do I install it?

Run `npx skills add microsoft/azure-skills --skill azure-kusto --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From microsoft/azure-skills, a repository with 1,353 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going