Can I use this skill to query multiple Log Analytics workspaces at once?

Yes, you can use the LogsBatchQuery feature included in this skill to send multiple queries across different workspaces in a single request for efficient data retrieval.

Can I process the query results using Pandas?

Absolutely. This skill includes specific implementation patterns for converting Log Analytics table results directly into Pandas DataFrames for advanced data manipulation and visualization.

How do I handle authentication for Azure Monitor queries?

The skill utilizes DefaultAzureCredential from the azure-identity library, which automatically handles authentication via environment variables, managed identities, or Azure CLI credentials.

Does this skill support querying metrics for specific Azure resources?

Yes, it provides methods to query resource-level metrics using the Resource URI, including support for filtering by dimensions and specifying time granularities.

Azure Monitor Query for Python

Name: Azure Monitor Query for Python
Author: sickn33

bysickn33

•

31,722

•

분석 및 모니터링

Queries Azure Monitor logs and metrics using the Python SDK to enable deep observability and data analysis.

This skill integrates the Azure Monitor Query SDK for Python into Claude's workflow, allowing for programmatic access to Log Analytics workspaces and Azure Monitor metrics. It enables users to execute complex Kusto (KQL) queries, retrieve performance metrics with custom aggregations, and process results using tools like Pandas. Whether diagnosing application errors, monitoring system health, or automating reporting, this skill provides the implementation patterns necessary to bridge Claude's coding capabilities with Azure's observability platform, including support for asynchronous operations and batch processing.

주요 기능

01Perform batch log queries to retrieve multiple datasets efficiently

02Retrieve multi-dimensional resource metrics with custom aggregations

03Execute Kusto (KQL) queries against Log Analytics workspaces

0431,722 GitHub stars

05Convert log query results directly into Pandas DataFrames for analysis

06Support for asynchronous query operations and robust error handling

사용 사례

01Generating resource utilization reports using CPU, memory, and network metrics

02Analyzing application logs to troubleshoot production errors and latency issues

03Automating observability dashboards by fetching live data through Python scripts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills azure-monitor-query-py

For use in Claude.ai and ChatGPT

주요 기능

01Perform batch log queries to retrieve multiple datasets efficiently

02Retrieve multi-dimensional resource metrics with custom aggregations

03Execute Kusto (KQL) queries against Log Analytics workspaces

0431,722 GitHub stars

05Convert log query results directly into Pandas DataFrames for analysis

06Support for asynchronous query operations and robust error handling

사용 사례

01Generating resource utilization reports using CPU, memory, and network metrics

02Analyzing application logs to troubleshoot production errors and latency issues

03Automating observability dashboards by fetching live data through Python scripts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills azure-monitor-query-py

For use in Claude.ai and ChatGPT