Dt App Notebooks Agent Skill

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

6k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

118

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/Dynatrace/dynatrace-for-ai --skill dt-app-notebooks

What comes with it

21 393 bytes besides the instruction

assets/ExampleNotebook.json

assets/visualization-settings.reference.jsonc

references/analyzing.md

references/create-update.md

references/sections.md

The instruction itself

7 sections, as written by the author

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

{
  "name": "My Notebook",
  "type": "notebook",
  "content": {
    "version": "7",
    "defaultTimeframe": { "from": "now()-2h", "to": "now()" },
    "sections": [
      { "id": "1", "type": "markdown", "markdown": "# Title" },
      {
        "id": "2", "type": "dql", "title": "Query Section", "showInput": true,
        "state": {
          "input": { "value": "fetch logs | summarize count()" },
          "visualization": "table",
          "visualizationSettings": { "autoSelectVisualization": true, "chartSettings": {} },
          "querySettings": {
            "maxResultRecords": 1000, "defaultScanLimitGbytes": 500,
            "maxResultMegaBytes": 1, "defaultSamplingRatio": 10, "enableSampling": false
          }
        }
      }
    ]
  }
}

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 <id> -o json --plain (describe returns metadata only), then inspect the JSON to discover its available properties. Carefully read references/analyzing.md before analyzing.

Create/Update Workflow (Mandatory Order)

Carefully follow the workflow described in references/create-update.md.

Key rules:

Load domain skills BEFORE generating queries — do not invent DQL.
Validate ALL section queries before adding to the notebook.
Set name before deploying.
Prefer autoSelectVisualization: true in visualizationSettings unless the user requested a specific visualization type — when false, state.visualization must be set explicitly.
Updating — ALWAYS download first: dtctl get notebook <id> -o json --plain > notebook.json, modify, then deploy the downloaded file. Never reconstruct JSON from scratch or inject an id manually — both silently overwrite UI edits the user made since last deployment.
Deploy with dtctl apply — validation runs automatically, and the local file is deleted on success.

Visualization Types

Notebooks support a subset of Dynatrace visualizations:

Time-series (require timeseries/makeTimeseries): lineChart, areaChart, barChart, bandChart
Categorical (summarize ... by:{field}): categoricalBarChart, pieChart, donutChart
Single value / gauge / meter: singleValue, meterBar, gauge
Tabular (any data shape): table, raw, recordView
Distribution/status: histogram, honeycomb
Geographic maps: choropleth, dotMap, connectionMap, bubbleMap
Matrix/correlation: heatmap, scatterplot

Required field types per visualization: references/sections.md.

References

| File | When to Load |

|------|-------------|

| create-update.md | Creating/updating notebooks |

| sections.md | Section types, visualization field requirements, settings |

| analyzing.md | Reading notebooks, extracting queries, purpose identification |

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How to use it

Copy the folder

Take dynatrace/dt-app-notebooks from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.