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Skill

dt-app-notebooks

@dynatrace Updated 2026-10-01

Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.

agent-skillsai-agentsclaude-codedevopsdqldynatracemcpobservability

Install

git clone https://github.com/Dynatrace/dynatrace-for-ai /tmp/dynatrace-for-ai && ln -s /tmp/dynatrace-for-ai/skills/dt-app-notebooks ~/.claude/skills/dt-app-notebooks

From README

Dynatrace Notebook Skill Overview Dynatrace notebooks are JSON documents stored in the Document Store containing an ordered array of sections — markdown blocks for narrative and dql blocks for DQL queries with visualizations. Sections render top-to-bottom in array order. When to use: Creating, modifying, querying, or analyzing notebooks. Notebook JSON Structure Sections render in array order. Section types: markdown, dql. (function exists but is rare.) Use string-int IDs ("1", "2", …); UUIDs are also accepted. content.defaultTimeframe sets the default timeframe; each section can override via section.state.input.timeframe. Hardcoded time filters in DQL are allowed. Optional content properties: defaultSegments. Reading & Analyzing Fetch full content with dtctl get notebook -o json (describe returns metadata only), then inspect the JSON to discover its available properties. Carefully read references/analyzing.md before analyzing.