# dt-obs-analytics

> Claude/Codex skill by [@dynatrace](https://omgskills.com/library/dynatrace/index.md) · 167 stars · Updated 2026-10-23

Analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation. Use when the user references a specific Dynatrace dashboard or notebook (by URL, UUID, or name) and asks what it shows, which DQL queries it runs, whether a tile looks off, or wants to find anomalies, score novelty, or correlate its metrics. The trigger is a dashboard or notebook as the data source, not a general DQL question. This skill extracts timeseries queries efficiently without reading the full raw document JSON, then optionally runs Davis analyzers on the extracted metrics. Trigger phrases: "what's wrong on this dashboard", "analyze this notebook", "find anomalies", "novelty score", "correlate metrics", "extract DQL from dashboard", "dashboard URL", "tile", "run-analyzer", "timeseries extraction", "Davis analyzer".

Tags: agent-skills, ai-agents, claude-code, devops, dql, dynatrace, mcp, observability

## Install

```sh
git clone https://github.com/Dynatrace/dynatrace-for-ai /tmp/dynatrace-for-ai && ln -s /tmp/dynatrace-for-ai/skills/dt-obs-analytics ~/.claude/skills/dt-obs-analytics
```

## From README

Analytics — Dashboard & Notebook Query Extraction A pipeline of three platform JavaScript scripts under scripts/ — two extractors feeding a shared analyzer runner: Each script is invoked via: -o json wraps the function return value under .result. When you need to inspect the result, read it directly from the output — no jq required. Pass the full raw output as queries to run-analyzer.js and it unwraps automatically.

## Links

- HTML page: https://omgskills.com/library/dynatrace/dynatrace-for-ai/skills/dt-obs-analytics/
- GitHub: https://github.com/Dynatrace/dynatrace-for-ai
- Author: [@dynatrace](https://omgskills.com/library/dynatrace/index.md)

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