dt-app-dashboards

Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations.

INSTALLATION
npx skills add https://github.com/dynatrace/dynatrace-for-ai --skill dt-app-dashboards
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

Dynatrace Dashboard Skill

Overview

Dynatrace dashboards are JSON documents stored in the Document Store containing

tiles (content/visualizations), layouts (grid positioning), and variables

(dynamic query parameters).

When to use: Creating, modifying, querying, or analyzing dashboards.

Dashboard JSON Structure

{

  "name": "My Dashboard",

  "type": "dashboard",

  "content": {

    "version": 21,

    "variables": [],

    "tiles": { "<id>": { "type": "data|markdown", ... } },

    "layouts": { "<id>": { "x": 0, "y": 0, "w": 24, "h": 8 } }

  }

}
  • Tile IDs in tiles must match IDs in layouts
  • Grid is 24 units wide. Common widths: 24 (full), 12 (half), 6 (quarter)
  • Two tile types: markdown (text content) and data (DQL query + visualization)

Optional content properties: settings, refreshRate, annotations

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 queries before adding to dashboard
  • No time-range filters in queries unless explicitly requested by user
  • Set name before deploying
  • Updating — ALWAYS download first: dtctl get dashboard <id> -o json --plain > dashboard.json, modify, then deploy the downloaded file. Never reconstruct JSON from scratch or inject an id manually — both silently overwrite any UI edits the user made since last deployment.

Visualization Types

  • Time-series (require timeseries/makeTimeseries): lineChart, areaChart, barChart, bandChart
  • Categorical (summarize ... by:{field}): categoricalBarChart, pieChart, donutChart
  • Single value/gauge (single numeric record): singleValue, meterBar, gauge
  • Tabular (any data shape): table, raw, recordList
  • Distribution/status: histogram, honeycomb
  • Maps: choroplethMap, dotMap, connectionMap, bubbleMap
  • Matrix: heatmap, scatterplot

Required field types per visualization: references/tiles.md

Variables Quick Reference

{ "version": 2, "key": "Service", "type": "query", "visible": true,

  "editable": true, "input": "smartscapeNodes SERVICE | fields name",

  "multiple": false }
  • Single-select: filter service.name == $Service
  • Multi-select: filter in(service.name, array($Service))
  • Types: query (DQL-populated), csv (static list), text (free-form)

Full variable reference: references/variables.md

References

File

When to Load

create-update.md

Creating/updating dashboards

tiles.md

Tile types, visualization field requirements, settings

variables.md

Variable types, replacement strategies, patterns

analyzing.md

Reading dashboards, extracting queries, health assessment

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