AI导哈

数据与研究

dt-obs-analytics

dynatrace/dynat…e-for-ai

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".

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安装命令

npx skills add https://github.com/dynatrace/dynatrace-for-ai --skill dt-obs-analytics

SKILL.md

Analytics — Dashboard & Notebook Query Extraction

A pipeline of three platform JavaScript scripts under scripts/ — two extractors feeding a shared analyzer runner:

scripts/extract-timeseries-dashboard.js ──┐
scripts/extract-timeseries-notebook.js  ──┴──► queryset.json ──► scripts/run-analyzer.js (any Davis analyzer)

Each script is invoked via:

dtctl exec function -f scripts/<script>.js --payload '<json>' -o json

-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.

Parsing a dashboard URL

When the entry point is a Dynatrace dashboard URL, extract the three components the scripts need:

Analytics — Dashboard & Notebook Query Extraction

A pipeline of three platform JavaScript scripts under scripts/ — two extractors feeding a shared analyzer runner:

scripts/extract-timeseries-dashboard.js ──┐
scripts/extract-timeseries-notebook.js  ──┴──► queryset.json ──► scripts/run-analyzer.js (any Davis analyzer)

Each script is invoked via:

dtctl exec function -f scripts/<script>.js --payload '<json>' -o json

-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.

Parsing a dashboard URL

When the entry point is a Dynatrace dashboard URL, extract the three components the scripts need:

相关 Skills

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