Can I check the status of my Datadog monitors?

Absolutely. The skill can list all monitors and their current statuses to help you investigate active alerts.

Does this skill support Datadog APM?

Yes, it includes specialized capabilities for searching and analyzing APM spans and events to diagnose distributed tracing issues.

What credentials are required to use the Datadog skill?

You need to set three environment variables: DD_API_KEY, DD_APP_KEY, and DD_SITE (e.g., datadoghq.com or datadoghq.eu).

Is it possible to query custom metrics?

Yes, as long as the metrics are available in your Datadog account, you can use the metrics query function to retrieve and analyze them.

Can I query logs from a specific time range?

Yes, the skill supports time-based filtering using parameters like 'now-1h' or specific timestamps to narrow down your search results.

Datadog Observability & Monitoring

Name: Datadog Observability & Monitoring
Author: OpenHands

byOpenHands

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Analytics & Monitoring

Queries and analyzes Datadog logs, metrics, and APM traces to streamline application monitoring and debugging.

About

This skill empowers Claude to interact directly with the Datadog API, providing real-time visibility into infrastructure and application performance. It allows developers to search through logs, query system metrics, analyze APM traces, and manage monitors without leaving the terminal. By automating data retrieval from Datadog, it simplifies root cause analysis for production incidents and helps maintain high availability through proactive monitoring checks directly within the Claude Code environment.

Key Features

Investigate performance bottlenecks via APM traces and spans
Search and filter logs with advanced query parameters
Automated authentication management for Datadog API requests
Monitor health status and list active alerts
Retrieve and analyze system and application-level metrics
40 GitHub stars

Use Cases

Investigating performance degradation through CPU, memory, and custom metrics
Debugging production errors by searching for specific service logs and status codes
Identifying latency issues in distributed systems using APM trace analysis

About

Key Features

Investigate performance bottlenecks via APM traces and spans
Search and filter logs with advanced query parameters
Automated authentication management for Datadog API requests
Monitor health status and list active alerts
Retrieve and analyze system and application-level metrics
40 GitHub stars

Use Cases

Investigating performance degradation through CPU, memory, and custom metrics
Debugging production errors by searching for specific service logs and status codes
Identifying latency issues in distributed systems using APM trace analysis