Content
71%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.
A well-structured, mostly executable investigation skill that defers detail cleanly to one-level references. The main weakness is the absence of explicit validation/feedback checkpoints in the workflow, which is notable for a multi-query comparison investigation.
Suggestions
Add explicit validation checkpoints between steps, e.g. after Step 2 confirm both periods returned data before drilling down, and a 're-query with wider range if results are empty' feedback loop.
Replace placeholder values (date_range="<spike_period>") with a brief note on how to construct them from Step 1, so the examples are fully executable without inference.
Trim 'Common Spike Patterns' and 'Best Practices' to the non-obvious items, since much is inferable from the queries already shown.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with numbered steps and compact code blocks, though sections like 'Common Spike Patterns' and 'Best Practices' add some explanatory padding that Claude could largely infer. | 4 / 5 |
Actionability | Provides concrete, copy-pasteable get_cost_data / get_dimension_values examples across every step, but several blocks use placeholder date_range/group_by values rather than fully parameterized executable calls, leaving minor gaps. | 4 / 5 |
Workflow Clarity | The seven steps are clearly sequenced, but for a batch/comparison investigation there are no explicit validation checkpoints or feedback loops (e.g. verify data returned, re-query on empty results), which caps this dimension at 3. | 3 / 5 |
Progressive Disclosure | The body is a well-organized overview that defers detail to clearly signaled one-level-deep references (best-practices.md, cloudzero-tools-reference.md, error-handling.md, dimensions-reference.md, cost-types-reference.md), with no nested references and easy navigation. | 5 / 5 |
Total | 16 / 20 Passed |