Dt Obs Logs

This is your go-to for digging through Dynatrace logs when something's on fire. It covers the essentials: filtering by severity and time range, searching content with pattern matching, calculating error rates, and aggregating by process group or time buckets. The JSON parsing examples are especially useful if you're dealing with structured logs. The workflow is straightforward: fetch logs, apply filters early, then aggregate or search. One thing to note is that it leans heavily on DQL syntax specifics like matchesPhrase versus contains, so you'll want to pay attention to those distinctions. If you need to join log data with host attributes like OS type or cloud provider, you'll need to pull in the smartscape topology skill too.

skills.sh installs: 2.9K
GitHub stars: 177
last updated: Aug 21, 2026

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Install

$ npx -y skills add dynatrace/dynatrace-for-ai --skill dt-obs-logs --agent claude-code

Installs into .claude/skills of the current project.

Files

Log Analysis Skill

Query, filter, and analyze Dynatrace log data using DQL for troubleshooting and monitoring.

What This Skill Covers

Fetching and filtering logs by severity, content, and entity
Searching log messages using pattern matching
Calculating error rates and statistics
Analyzing log patterns and trends
Grouping and aggregating log data by dimensions

Cross-source join required: If the query must combine logs with host attributes (OS type, hostname, IP address, cloud provider) → also read dt-dql-essentials/references/smartscape-topology-navigation.md before writing the query.