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dt-app-notebooks

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

71

1.22x
Quality

70%

Does it follow best practices?

Impact

86%

1.22x

Average score across 2 eval scenarios

SecuritybySnyk

Passed

No known issues

Fix and improve this skill with Tessl

tessl review fix ./skills/dt-app-notebooks/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

93%

13%

Log Health Overview Notebook

Dynatrace notebook creation workflow adherence

Criteria
Without context
With context

Name field present

100%

100%

No custom id on notebook

100%

100%

Correct content version

0%

100%

autoSelectVisualization true

0%

44%

querySettings in all DQL sections

100%

100%

querySettings correct values

100%

100%

Markdown sections present

100%

100%

Unique string section IDs

100%

100%

DQL validation commands in workflow.sh

66%

100%

Single-quoted DQL strings

100%

100%

dtctl apply deploy command

100%

100%

Plausible log DQL queries

100%

66%

80%

20%

Service Health Monitoring Notebook

Mixed visualization notebook with categorical vs time-series chart type selection

Criteria
Without context
With context

categoricalBarChart usage

100%

100%

Summarize-by DQL pattern

0%

0%

Timeseries interval field

100%

100%

Timeseries timeframe field

100%

100%

autoSelectVisualization false for specified types

50%

100%

state.visualization set when autoSelect false

100%

100%

autoSelectVisualization true for agent-chosen section

0%

0%

DQL validation calls

0%

100%

Single quotes in dtctl query

0%

100%

querySettings in all DQL sections

100%

100%

Unique string IDs

100%

100%

Repository
Dynatrace/dynatrace-for-ai
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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