What problem does it solve? Working with Dynatrace notebooks requires understanding a specific JSON document structure with ordered sections, DQL queries, and visualization settings. This Skill guides the creation, modification, querying, and analysis of notebook documents while enforcing validation rules that prevent common errors like overwriting user edits or deploying invalid queries. ## Core Features & Use Cases - Notebook Creation & Updates: Follows a mandatory 7-step workflow including DQL validation with dtctl, downloading existing notebooks before updates, and deploying with dtctl apply. - Notebook Analysis: Extracts queries, titles, visualizations, and thresholds from notebook JSON, and identifies notebook purpose from section content. - Visualization Guidance: Documents required field types for each visualization (lineChart, categoricalBarChart, singleValue, honeycomb, maps, and more) plus per-visualization settings references. - Use Case: A site reliability engineer needs a service health notebook with RED metrics. The Skill loads domain knowledge first, validates each DQL query against the tenant, builds the section JSON, and deploys it with a shareable URL. ## Quick Start Ask the assistant to create a Dynatrace notebook showing error counts and response times for your services using validated DQL queries.
