Localized reading guide
azure-kustoPurpose, usage and source
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.
Source retrieved:
- Source repository
- microsoft/skills
- SKILL.md
.github/plugins/azure-skills/skills/azure-kusto/SKILL.md- Repository stars
- 3,157
- Repository updated
- 2026-10-31
- Categories
- Cloud
- Last collected
License: License file needs review
Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.
The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.
What this Skill does
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 the upstream workflow works
Core Workflow
Discover Resources: List available clusters and databases in subscription. If the target table's location is unknown and multiple candidate clusters, databases, or Log Analytics workspaces exist, batch the search (see Pattern 6) and only report "not found" after all candidates are checked. Explore Schema: Retrieve table structures to understand data model Query Data: Execute KQL queries for analysis, filtering, aggregation Analyze Results: Process query output for insights and reporting
Upstream passage · L24 ↗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). Query Execution: Run KQL queries against massive datasets Schema Exploration: Discover tables, columns, and data types Resource Management: List clusters and databases
Upstream passage · L14 ↗When to Fallback
Switch to Azure CLI when: MCP tool returns timeout error (queries > 60 seconds) MCP tool returns "service unavailable" or connection errors Authentication failures with MCP tools
Upstream passage · L190 ↗Events
| where Timestamp > ago(1h)
| take 100Requirements and setup
No short requirements passage was selected from this file. This does not mean the Skill has no dependencies. Check the repository setup instructions and referenced files.
Limits and quality checks
No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.
Start with a safe trial
- Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
- Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
- Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
- Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.
Read further in the source
- Azure Data Explorer (Kusto) Query & Analytics
- Overview
- Core Workflow
- Pattern 1: Basic Data Retrieval
- Pattern 2: Aggregation Analysis
- Pattern 3: Time Series Analytics
- Pattern 4: Join and Correlation
- Pattern 5: Schema Discovery
- Pattern 6: Batch Search Across Candidate Sources
- Key Data Fields
- Result Format
- KQL Best Practices
- Best Practices
- MCP Tools Used
- Fallback Strategy: Azure CLI Commands
- KQL Query via Azure CLI
- When to Fallback
- Common Issues
- Use Cases
Related Skills
Translation and scope
This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.
This introduction refers to the pinned version below; current repository activity and collection time are shown separately.
- Pinned source
- Read the original ↗
- Source retrieved
- Source commit
00d66a64919edca5bca2c673373444e36a4b5461- Source SHA-256
f0920e96ac8a4b8941e0bc29591d53bcfdd3a3a61e713249d3d489c55f6d98c8