How do I configure the Datadog CLI skill?

You must export your DD_API_KEY and DD_APP_KEY as environment variables. These can be generated in your Datadog Organization Settings under API Keys.

What kind of metric data can I retrieve?

You can query any timeseries metrics stored in Datadog using the standard query syntax, including system metrics like CPU usage and custom application-level metrics.

Can I visualize the results in a human-readable format?

Yes, the skill includes a --pretty flag that formats CLI output with colors and clear structures, making it easy for both the AI and humans to interpret data.

Does this skill support Datadog regions outside the US?

Yes, you can use the --site flag to specify other Datadog sites, such as datadoghq.eu for European instances.

Can Claude use this to help during an active production incident?

Absolutely. The skill includes a specific incident triage workflow that allows Claude to summarize errors, find new patterns, and follow distributed traces to find root causes.

Datadog CLI Observer

Name: Datadog CLI Observer
Author: Microck

byMicrock

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分析と監視

Integrates Datadog observability into Claude to enable real-time log searching, metric querying, and incident triage.

The Datadog CLI skill empowers developers and SREs to perform deep production debugging and system monitoring directly within the Claude environment. By providing a structured interface for searching logs, querying timeseries metrics, and correlating distributed traces, this skill allows Claude to proactively identify error patterns and monitor infrastructure health. It is an essential tool for teams managing complex distributed systems who need immediate access to Datadog's telemetry data to speed up root-cause analysis and incident response workflows.

主な機能

01Distributed trace correlation to follow request paths across microservices.

02Automated error pattern grouping and period-over-period log comparisons.

03Advanced log searching with support for query syntax, tailing, and context retrieval.

042 GitHub stars

05Full CRUD management of Datadog dashboards and dashboard lists.

06Timeseries metrics querying for real-time performance and resource monitoring.

ユースケース

01Monitoring infrastructure health during deployments by querying CPU, memory, and custom application metrics.

02Investigating production outages by searching for error logs and correlating them with specific trace IDs.

03Analyzing system regressions by comparing log counts and error rates between current and previous time windows.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck datadog-cli

For use in Claude.ai and ChatGPT

Download Skill