# dt-app-notebooks

> Claude/Codex skill by [@dynatrace](https://omgskills.com/library/dynatrace/index.md) · 164 stars · Updated 2026-10-01

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

Tags: agent-skills, ai-agents, claude-code, devops, dql, dynatrace, mcp, observability

## Install

```sh
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.

## Links

- HTML page: https://omgskills.com/skills/dynatrace/dynatrace-for-ai/dt-app-notebooks/
- GitHub: https://github.com/Dynatrace/dynatrace-for-ai
- Author: [@dynatrace](https://omgskills.com/library/dynatrace/index.md)

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