What credentials are required to use the Datadog CLI skill?

You must provide a valid DD_API_KEY and DD_APP_KEY as environment variables. These can be generated in your Datadog organization settings.

Can I use this skill with Datadog's European or other regional sites?

Yes, the skill supports the --site flag, allowing you to specify regions such as datadoghq.eu for European accounts.

How does this skill help with distributed tracing?

It includes a 'logs trace' command that allows the agent to find and correlate all logs associated with a specific distributed trace ID.

Can the AI agent manage my Datadog dashboards using this skill?

Yes, the skill provides CRUD (Create, Read, Update, Delete) capabilities for both dashboards and dashboard lists.

What is the benefit of the 'logs compare' command?

It allows the agent to compare log counts between two time periods, helping to determine if a specific error is new or has increased in frequency following a deployment.

Datadog CLI Agent Skill

Name: Datadog CLI Agent Skill
Author: softaworks

bysoftaworks

•

347

분석 및 모니터링

Enables real-time log searching, metric querying, and incident triage directly within the AI agent workflow using Datadog observability.

소개

This skill empowers AI coding agents to perform comprehensive observability tasks without leaving the terminal, facilitating rapid debugging of production issues through the Datadog API. It provides a robust interface for searching and tailing logs, querying time-series metrics, correlating distributed traces, and managing dashboards. By integrating these capabilities directly into the agent's environment, it streamlines the root cause analysis process and improves response times during critical incidents.

주요 기능

Advanced log searching and real-time streaming with complex query support
Time-series metrics querying for system performance and application health
Distributed trace correlation to track requests across microservices
347 GitHub stars
Comparative log analysis to identify spikes in error rates or patterns
Full dashboard management for visualizing and organizing observability data

사용 사례

Rapid incident triage and root cause analysis during production outages
Performance monitoring and bottleneck identification using system metrics
Log aggregation and pattern recognition for debugging complex microservices

소개

주요 기능

Advanced log searching and real-time streaming with complex query support
Time-series metrics querying for system performance and application health
Distributed trace correlation to track requests across microservices
347 GitHub stars
Comparative log analysis to identify spikes in error rates or patterns
Full dashboard management for visualizing and organizing observability data

사용 사례

Rapid incident triage and root cause analysis during production outages
Performance monitoring and bottleneck identification using system metrics
Log aggregation and pattern recognition for debugging complex microservices