@dynatrace

dt-app-notebooks covers notebook creation, modification, and deployment in dynatrace via json manipulation and dtctl tooling. inherits dashboard workflows with notebook-specific constraints around query validation and deployment scripting.

dt-obs-frontends enables querying dynatrace real user monitoring data across web and mobile frontends via dql, covering core web vitals, session tracking, error correlation, and performance diagnostics.

dt-obs-problems wraps dynatrace problem analysis for triage and root cause investigation, covering active problem listing and entity correlation. lacks procedural depth and error handling.

dt-obs-hosts provides host and process monitoring across infrastructure platforms, covering cpu, memory, disk, network inventory and compliance checks, but lacks actionable procedures.

dt-app-dashboards describes dynatrace dashboard json structure (tiles, layouts, variables) but lacks actionable procedures, decision logic, recovery patterns, and concrete trigger phrases for actual dashboard operations.

dt-dql-essentials documents dynatrace query language fundamentals and directs users to reference materials for specific DQL syntax, operators, and optimization patterns.

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Migrate Dynatrace classic and Gen2 entity-based DQL to Smartscape equivalents. Covers three scenarios. (1) mass data queries filtered by classic entity…

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dt-obs-tracing — an installable skill for AI agents, published by dynatrace/dynatrace-for-ai.