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virtualrussel
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dt-app-dashboards

Design, validate, and deploy Dynatrace dashboards through a structured workflow.

Updated Aug 23, 2026
Search Tags:#workflow#validation#guidance#dashboard#dql#dtctl#dynatrace
One-click install
npx skills add https://github.com/virtualrussel/dynatrace-ai-workspace --skill dt-app-dashboards-virtualrussel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dt-app-dashboards
Source: https://github.com/virtualrussel/dynatrace-ai-workspace/tree/main/.agents/skills/dt-app-dashboards
Command: npx skills add https://github.com/virtualrussel/dynatrace-ai-workspace --skill dt-app-dashboards-virtualrussel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams design, validate, and deploy Dynatrace dashboards using a structured, skill-driven workflow, ensuring dashboards are built from validated data sources, queries, and layouts.

Core Features & Use Cases

  • Guided dashboard creation and updates using a 7-step workflow that enforces skill-based queries, validation, and deployment checks.
  • On-demand references and assets to support planning, data exploration, and best practices.
  • End-to-end dashboard lifecycle: define purpose, explore data, plan structure, validate queries, construct JSON, test with scripts, and deploy.

Quick Start

Load this skill and follow Step 0 to load templates and start crafting a dashboard through Step 1 to Step 7.

Frequently Asked Questions about dt-app-dashboards

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create and deploy Dynatrace dashboards using a structured workflow?▼

To create and deploy Dynatrace dashboards, follow a 7-step guided workflow that covers defining purpose, exploring data, planning structure, writing DQL queries, building JSON, and running validation scripts before deployment.

What is the best way to validate Dynatrace dashboard JSON before deployment?▼

The best way to validate dashboard JSON is using the mandatory validation steps and deployment scripts provided, which check skill-driven queries and structural integrity before you deploy to Dynatrace.

Can I build complex Dynatrace dashboards across multiple data sources?▼

Yes, you can build complex dashboards across multiple data sources by progressively loading references and handling variables, ensuring all DQL queries are validated against the target sources.

How does variable handling work when generating Dynatrace dashboards?▼

Variable handling works by processing dashboard JSON structures during the construction phase, allowing you to define and validate skill-driven queries that dynamically filter data across your dashboard tiles.

Do I need to know DQL to design dashboards with this workflow?▼

You need to understand DQL concepts to define data queries, but the skill-driven workflow provides query generation guidance and validation scripts to help you construct and test them correctly.

Why does my Dynatrace dashboard deployment fail validation checks?▼

Dashboard deployment fails validation when the constructed JSON or DQL queries do not pass the mandatory deployment checks, requiring you to revisit the query validation step before deploying.

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