Content
86%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The SKILL.md body is an effective query cookbook: executable DQL covering the major K8s monitoring use cases, sharp Dynatrace-specific gotchas, well-structured one-level-deep references with explicit load conditions, and validation/fallback guidance for the events workflow. Its weaknesses are minor — some repetition of the sum()-vs-avg() and time-range guidance, and workflows that read as query collections rather than strictly ordered procedures.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with non-obvious Dynatrace-specific gotchas Claude would not know ("calling avg() or sum() on a series field outside the timeseries {} block is not supported", "k8s.workload.kind values (always lowercase in DT...)") and does not explain general Kubernetes concepts, matching the 'efficient; minor instances of over-explanation that could be trimmed' anchor. It is not a 5 because the sum()-vs-avg() aggregation warning is repeated in three places and time-range guidance appears in both 'Query Types' and 'Best Practices'. | 4 / 5 |
Actionability | Quotes: twenty-plus complete, executable DQL queries (e.g. "timeseries oom_kills = sum(dt.kubernetes.container.oom_kills), by: {k8s.pod.name...} | filter arraySum(oom_kills) > 0", the privileged-container query, the Davis-problems query with iAny(...)), plus a parameterized dql-template. These are copy-paste ready with concrete fields and cover the common cases (health check, right-sizing, OOM, events, security, HA, problems), matching the 'fully executable; copy-paste ready' anchor. | 5 / 5 |
Workflow Clarity | Quotes: six numbered Common Workflows with sequenced queries, an explicit validation checkpoint ("Check which providers are active first... If none appear, use the get-events-for-kubernetes-cluster tool"), and an error-recovery table ("Troubleshooting: Problem | Cause | Solution"), which goes beyond the 'most checkpoints present' anchor. It falls short of 5 because several workflows (e.g. Cluster Health Check, Resource Optimization) are parallel query collections rather than ordered step sequences, and this read-only query skill has no destructive/batch operations requiring validate-fix-retry loops. | 4 / 5 |
Progressive Disclosure | Quotes: "## When to Load References" with explicit per-file load conditions ("Load pod-debugging.md when: Investigating pod exit codes, crash loops..."), a Knowledge Base Structure overview mapping core vs advanced topics, and a References index with one-line descriptions. All 8 referenced files exist in references/ (including the linked anchor pod-debugging.md#service--pod-drill-down) and are exactly one level deep, matching the 'clear overview with well-signaled one-level-deep references' anchor. | 5 / 5 |
Total | 18 / 20 Passed |