Agent skill

Dt App Dashboards

by Dynatrace in Dynatrace/dynatrace-for-ai

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

Apache-2.0Auto-check passed

Install Dt App Dashboards

skills CLI
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-app-dashboards -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Dynatrace/dynatrace-for-ai dt-app-dashboards --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dt-app-dashboards .claude/skills/dt-app-dashboards && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dt-app-dashboards
GitHub stars
163
Token cost
~918 tokens
SKILL.md length
309 words
Files
7 (incl. references, assets)
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

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

  • SKILL.md covers Overview, Dashboard JSON Structure, Reading & Analyzing and Create/Update Workflow…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dt App Dashboards is an agent skill from Dynatrace/dynatrace-for-ai. Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations.

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files and assets (for example `assets/ExampleDashboard.json`, `references/analyzing.md` and `references/create-update.md`).

The repository describes itself as: Skills, prompts, and instructions for building AI agents on top of Dynatrace production context. The licence is Apache-2.0.

Example prompts

  • “/dt-app-dashboards”

What it can do on your machine

Read from SKILL.md and the folder at commit 4f9aa71. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dt App Dashboards loads about 918 tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 309 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~918
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Dynatrace/dynatrace-for-ai at commit 4f9aa71, republished under its Apache-2.0 licence (© Dynatrace). 309 words, ~918 tokens.

Download SKILL.mdSave it as .claude/skills/dt-app-dashboards/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
dt-app-dashboards
description
Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations.
license
Apache-2.0

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

json
{
  "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

Reading & Analyzing

Fetch full content with dtctl get dashboard <id> -o json (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 queries before adding to dashboard
  • No time-range filters in queries unless explicitly requested by user
  • Set name before deploying
  • Updating — ALWAYS read the current state first: dtctl get dashboard <id> -o json, save it as dashboard.json, modify that file, then deploy it. Never reconstruct JSON from scratch or inject an id manually — both silently overwrite any UI edits the user made since last deployment.
  • Deploy with dtctl apply — validation runs automatically. If it fails, fix all reported errors before re-applying.

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

json
{ "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

FileWhen to Load
create-update.mdCreating/updating dashboards
tiles.mdTile types, visualization field requirements, settings
variables.mdVariable types, replacement strategies, patterns
analyzing.mdReading dashboards, extracting queries, health assessment

© Dynatrace, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references, assets) in skills/dt-app-dashboards of Dynatrace/dynatrace-for-ai.

  • SKILL.md
  • assets/ExampleDashboard.json
  • assets/visualization-settings.reference.jsonc
  • references/analyzing.md
  • references/create-update.md
  • references/tiles.md
  • references/variables.md

Open the folder on GitHubat commit 4f9aa71

Compare with similar skills

Dt App Dashboards next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dt App Dashboards compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dt App Dashboards this skillDynatrace/dynatrace-for-ai163—~918Automated safety check: PassApache-2.0
Dashboardasgeirtj/system_prompts_leaks69k—~4.1kAutomated safety check: PassCC0-1.0
DashboardInsForge/InsForge13k—~2.3kAutomated safety check: PassApache-2.0
Live DashboardNousResearch/hermes-agent252k—~2.1kAutomated safety check: PassMIT
Live Dashboardnexu-io/open-design100k—~2.1kAutomated safety check: PassApache-2.0
GitHub Dashboardnexu-io/open-design100k—~1.8kAutomated safety check: PassApache-2.0

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Questions about Dt App Dashboards

What does Dt App Dashboards do?

Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations. Dt App Dashboards is an agent skill from Dynatrace/dynatrace-for-ai. Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations.

How do I install Dt App Dashboards in Claude Code?

Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-app-dashboards -a claude-code`. Or copy the skill folder (skills/dt-app-dashboards in Dynatrace/dynatrace-for-ai) into .claude/skills/dt-app-dashboards in your project. Claude Code loads it when a task matches its description.

How do I install Dt App Dashboards in Codex?

Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-app-dashboards -a codex`. Or copy the skill folder (skills/dt-app-dashboards in Dynatrace/dynatrace-for-ai) into .agents/skills/dt-app-dashboards in your project. Codex loads it when a task matches its description.

Can I use Dt App Dashboards in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-app-dashboards -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dt-app-dashboards, .gemini/skills/dt-app-dashboards, .github/skills/dt-app-dashboards and .opencode/skills/dt-app-dashboards in your project.

What does Dt App Dashboards need to run?

SKILL.md names no scripts, command-line tools or credentials: Dt App Dashboards is instructions for the agent only.

Does Dt App Dashboards access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dt App Dashboards safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dt App Dashboards use?

Dt App Dashboards is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dt App Dashboards use?

About 918 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.7k tokens, read only when the agent opens those files.

What are the alternatives to Dt App Dashboards?

Skills that share tags, products or a category with Dt App Dashboards: Dashboard (asgeirtj/system_prompts_leaks, 69k stars), Dashboard (InsForge/InsForge, 13k stars), Live Dashboard (NousResearch/hermes-agent, 252k stars) and Live Dashboard (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dt App Dashboards?

Dynatrace (a GitHub organization) maintains it in Dynatrace/dynatrace-for-ai, which has 163 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 1, 2026.

Source: Dynatrace/dynatrace-for-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.