dt-obs-genai

Cursor Skill

Analyzes observability signals from customer GenAI applications with DQL. Reads OpenTelemetry GenAI spans and LLM evaluation bizevents. Use for: golden signals (traffic, errors, latency, saturation); LLM signals (model, provider, tokens); cost/token analytics, usage attribution,

Dynatrace observability skills. DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows. Use with dtctl or the Dynatrace MCP server (https://docs.dynatrace.com/docs/shortlink/dynatrace-mcp-server) for live platform access.

Created by DynatraceVerified by CursorView Source

Skills30

dt-alertingEnd-to-end Dynatrace alerting lifecycle — anomaly detector setup and model selection (static threshold, adaptive baseline, seasonal baseline), alert event storage in Grail, problem grouping and denoising by root cause analysis, and workflow-based notification routing (email, Slac

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

dt-app-notebooksWork with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.

dt-dql-essentialsCore DQL syntax, pitfalls, query patterns, and query optimization. Load to write, build, fix, or OPTIMIZE a DQL query — prevents syntax errors and makes queries faster, more efficient, and cheaper (less data scanned = lower query consumption/cost per run). Covers fetch commands,

dt-js-runtimeDynatrace server-side JS runtime — function contract, runtime limits, Web APIs, Node.js modules, fetch with credential vault, and the @dynatrace-sdk/* catalog.

MCP1

dynatrace