Download for MacApple silicon, macOS 14+
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

With your agent

Install OMGSkills skill "dynatrace/dynatrace-for-ai:dt-app-notebooks" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

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.