Content
92%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 body exemplifies well-structured skill content: domain-specific, concise, action-oriented, with explicit validation loops and a clean progressive-disclosure layout verified against the actual bundle. The only minor gap is that the full step-by-step workflow lives in a referenced file, which is a reasonable trade-off for token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and entirely Dynatrace-specific — a compact JSON structure example, terse key rules, and a visualization-type table — with no explanation of concepts Claude already knows; every token earns its place. | 5 / 5 |
Actionability | Provides a complete copy-paste JSON example and concrete commands (`dtctl get notebook <id> -o json`, `dtctl apply`), but the full 7-step create/update sequence is delegated to the referenced file rather than given inline — minor gaps in executable coverage. | 4 / 5 |
Workflow Clarity | The workflow has a mandatory ordering with explicit validation checkpoints and a feedback loop ("If it fails, fix **all** reported errors before re-applying", "Validate ALL section queries before adding"), plus a key-rules checklist and a strict read-current-state-first rule for updates — matching the anchor for clear sequence with explicit validation and error recovery. | 5 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with well-signaled, one-level-deep references (all three referenced files exist with substantial matching content), organized in a 'When to Load' table; detailed material is appropriately split into references and assets with easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |