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 well-structured skill that efficiently communicates the notebook JSON format, key constraints, and visualization options while appropriately delegating detailed workflows to reference files. Its main weakness is that the core create/update workflow — the most critical multi-step process — is entirely deferred to a reference file, leaving the SKILL.md without an inline sequenced workflow with validation checkpoints. The conciseness and progressive disclosure are strong.
Suggestions
Include a condensed numbered workflow (3-5 steps) for create/update inline in the SKILL.md with explicit validation checkpoints, rather than deferring entirely to create-update.md — the reference can still hold the full details.
Add a minimal end-to-end example showing the complete flow from creating a notebook JSON to deploying it with `dtctl apply`, making the skill more immediately actionable without loading references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It doesn't explain what Dynatrace is or what notebooks conceptually are — it jumps straight into the JSON structure and actionable rules. Every section earns its place, and the visualization type listing is a useful reference table rather than verbose explanation. | 3 / 3 |
Actionability | The JSON structure example is concrete and copy-paste ready, and the key rules provide specific commands (e.g., `dtctl get notebook <id> -o json --plain > notebook.json`). However, the actual create/update workflow is deferred entirely to a reference file, and there's no inline executable example of creating or deploying a notebook end-to-end. The guidance is a mix of concrete and delegated. | 2 / 3 |
Workflow Clarity | The skill mentions a mandatory order workflow but delegates the full steps to `references/create-update.md`. Key rules are listed (download first, validate, deploy with dtctl apply) but the actual sequenced steps with validation checkpoints are not present in the SKILL.md itself. The update workflow has good safety guidance (always download first, never reconstruct) but lacks an explicit numbered sequence with feedback loops inline. | 2 / 3 |
Progressive Disclosure | The content is well-structured with a clear overview, inline essentials (JSON structure, key rules, visualization types), and a well-organized reference table with three clearly signaled one-level-deep references. The 'When to Load' column in the reference table is an excellent touch for navigation. References are appropriately scoped. | 3 / 3 |
Total | 10 / 12 Passed |