# Dt App Notebooks

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

- **Type:** Skill
- **Install:** `agentstack add skill-dynatrace-dynatrace-for-ai-dt-app-notebooks`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Dynatrace](https://agentstack.voostack.com/s/dynatrace)
- **Installs:** 0
- **Category:** [Cloud & Infrastructure](https://agentstack.voostack.com/c/cloud-infrastructure)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [Dynatrace](https://github.com/Dynatrace)
- **Source:** https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-app-notebooks
- **Website:** https://www.dynatrace.com

## Install

```sh
agentstack add skill-dynatrace-dynatrace-for-ai-dt-app-notebooks
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

```json
{
  "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`.

## Create/Update Workflow (Mandatory Order)

Carefully follow the workflow described in [references/create-update.md](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  -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/sections.md).

## References

| File | When to Load |
|------|-------------|
| [create-update.md](references/create-update.md) | Creating/updating notebooks |
| [sections.md](references/sections.md) | Section types, visualization field requirements, settings |
| [analyzing.md](references/analyzing.md) | Reading notebooks, extracting queries, purpose identification |

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Dynatrace](https://github.com/Dynatrace)
- **Source:** [Dynatrace/dynatrace-for-ai](https://github.com/Dynatrace/dynatrace-for-ai)
- **License:** Apache-2.0
- **Homepage:** https://www.dynatrace.com

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-dynatrace-dynatrace-for-ai-dt-app-notebooks
- Seller: https://agentstack.voostack.com/s/dynatrace
- Browse the marketplace: https://agentstack.voostack.com/browse

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