What problem does it solve? Debugging production incidents requires fast access to Datadog logs, metrics, and traces, but navigating the web UI is slow and hard to automate. This Skill gives an AI agent a CLI workflow to search logs, correlate traces, query metrics, and manage dashboards directly. ## Core Features & Use Cases - Log Search & Analysis: Search, tail, aggregate, and compare logs with Datadog query syntax, including pattern grouping and multi-query parallel execution. - Incident Triage Workflows: Follow a structured sequence from error overview to period comparison, pattern detection, context lookup, and distributed trace correlation. - Dashboard Management: Create, read, update, and delete dashboards and dashboard lists, with a documented safe-update workflow that prevents destructive data loss. - Use Case: During a production outage, run an error summary, compare error counts against the previous hour, find the dominant error pattern, then follow the distributed trace ID across services to locate the failing component. ## Quick Start Ask the agent to search Datadog for errors in the api service over the last hour and summarize the top error patterns.