dt-app-notebooks
Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, visualizations, markdown documentation, and analytics workflows. Supports notebook creation from scratch, section-based updates, data extraction from Document Store, structure analysis, investigation workflows, and collaborative documentation.
71
58%
Does it follow best practices?
Impact
89%
1.28xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/dt-app-notebooks/SKILL.mdEvaluation results
95%
19%API Performance Degradation Investigation Notebook
Create investigation notebook from scratch
Version field set to 7
0%
100%
Default timeframe present
100%
100%
Starts with markdown section
100%
100%
No state.result objects
100%
100%
Unique section UUIDs
100%
100%
Markdown between queries
100%
100%
Relative timeframes used
80%
100%
Queries have limit clause
25%
37%
Descriptive field names
100%
100%
Visualization matches data type
100%
100%
autoSelectVisualization false
0%
100%
Query .dql files present
100%
100%
Validate script uses jq
100%
100%
querySettings maxResultRecords
0%
100%
72%
8%Extending a Kubernetes Pod Monitoring Notebook
Extend existing notebook with new sections
Backup file created
100%
100%
No state.result in updated notebook
0%
0%
New sections have unique UUIDs
0%
100%
OOMKill DQL section uses lineChart
100%
100%
Standalone query file present
100%
100%
New DQL section has limit clause
0%
0%
Summary markdown section added
100%
100%
Narrative markdown between DQL sections
0%
0%
verify.sh uses jq for ID uniqueness
100%
100%
New section has querySettings
100%
100%
autoSelectVisualization false on new section
100%
100%
Version still 7
100%
100%
100%
32%Application Performance Query Library
Build a reusable DQL query library notebook
Version field is 7
0%
100%
defaultTimeframe present
0%
100%
Starts with markdown section
100%
100%
Category header pattern
100%
100%
Explanatory markdown after each query
55%
100%
No state.result objects
100%
100%
Unique section UUIDs
100%
100%
Queries have limit clause
0%
100%
Descriptive field names in queries
100%
100%
Standalone .dql files present
100%
100%
build.sh uses jq for validation
100%
100%
Visualization types varied
100%
100%
autoSelectVisualization false
0%
100%
- Repository
- Dynatrace/dynatrace-for-ai
- Commit
4991356
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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