Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable skill with excellent executable DQL query examples covering the full spectrum of problem analysis use cases. Its progressive disclosure is well-designed with clear reference file navigation. The main weaknesses are moderate verbosity in the overview/explanatory sections and a lack of explicit validation checkpoints in multi-step investigation workflows.
Suggestions
Trim the 'What are Problems?' and 'Problem Lifecycle' sections significantly — Claude doesn't need conceptual explanations of what Dynatrace problems are; focus on the field names and query patterns that are non-obvious.
Add an explicit multi-step investigation workflow with validation checkpoints, e.g., 'Step 1: Query active problems → Step 2: Verify results non-empty → Step 3: Drill into root cause → Step 4: Validate root_cause_entity_id is not null before proceeding to blast radius analysis.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly comprehensive but includes some unnecessary explanatory content Claude already knows (e.g., 'What are Problems?' section explaining what Dynatrace problems are, bullet-pointed descriptions of problem characteristics). The field reference tables and query patterns are valuable, but the overview section and some best practices (like 'Start simple') add verbosity without new information. | 2 / 3 |
Actionability | Excellent actionability with numerous complete, executable DQL queries covering all major use cases — active problem triage, root cause analysis, blast radius, recurring causes, Kubernetes filtering, and more. Every query is copy-paste ready with correct field names, filters, and sort orders. The common field name mistakes table and troubleshooting section provide highly specific, concrete guidance. | 3 / 3 |
Workflow Clarity | The use cases section defines clear triggers and done conditions, and the response construction section provides guidance on presenting results. However, there are no explicit validation checkpoints or feedback loops for multi-step investigation workflows. The 'test incrementally' and 'test fields first' advice is mentioned in best practices but not integrated into a sequenced workflow with verification steps. | 2 / 3 |
Progressive Disclosure | Well-structured with clear section hierarchy, a concise main body covering essential patterns, and explicit 'When to Load References' section that tells Claude exactly when to consult each reference file. References are one level deep with clear signaling (problem-trending.md, problem-correlation.md, impact-analysis.md, problem-merging.md). Related skills are also listed for cross-domain navigation. | 3 / 3 |
Total | 10 / 12 Passed |