dt-obs-analytics
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".
Install
With your agent
Install OMGSkills skill "dynatrace/dynatrace-for-ai:skills/dt-obs-analytics" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
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-analyticsFrom 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.
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