What problem does it solve? Investigating frontend errors, slow page loads, and user behavior requires querying Datadog RUM data, which involves learning the RUM search syntax and API. This Skill lets you search and analyze real user monitoring events directly through natural language requests. ## Core Features & Use Cases - RUM Event Search: Query views, actions, errors, resources, and long tasks using the full Datadog RUM query syntax with flexible time ranges. - Session & Performance Analysis: Track individual user journeys, analyze Core Web Vitals (LCP, FID, CLS), and identify slow pages. - Session Replay Discovery: Find replay sessions, fetch replay segments, and manage replay playlists via the pup CLI. - Use Case: When users report checkout failures, search for error events on the checkout page, identify the affected browsers and users, and trace a specific session to see exactly where the flow broke. ## Quick Start Ask the agent to show all frontend errors from the last hour and summarize the top issues affecting users.