What problem does it solve? Investigating production issues often requires digging through massive volumes of log data, and writing correct Datadog log queries with proper time ranges and filters is error-prone. This Skill lets you search and analyze Datadog logs directly through natural language requests, handling query syntax, time formatting, and result presentation for you. ## Core Features & Use Cases - Flexible Log Search: Query Datadog logs using the full search syntax including field filters, tag filters, attribute search, boolean operators, wildcards, and range queries. - Time Range Control: Search across any period using relative times (1h, 30m, 2d), Unix timestamps, ISO dates, or "now". - Structured Results: Receive log data formatted as readable tables with timestamp, service, status, and message, plus actionable error guidance. - Use Case: When users report errors in production, ask for recent error logs and get a summarized breakdown by service with suggested next investigation steps. ## Quick Start Show me all error logs from the production API service in the last hour.