Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tight, well-organized instruction skill with a useful output template and clear guardrails. Its main weakness is abstract inputs and the lack of an explicit synthesis sequence with a verification checkpoint.
Suggestions
Replace generic input labels with concrete expectations, e.g. 'Baseline data: before/after metric pairs from the same workload'.
Add an explicit synthesis sequence with a validation checkpoint, e.g. 'For each recommendation, cite the log/code line that supports it before emitting it'.
Clarify the 'abandoned' field guidance with a one-line criterion for what counts as a failed hypothesis.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean ~38-line body with no concept-explanation fluff or padding; it assumes Claude's competence and every token earns its place. | 3 / 3 |
Actionability | Provides a concrete YAML output template and specific constraints, but the inputs are generic labels ('Baseline data', 'Profiling evidence') and the synthesis guidance is template-shaped rather than fully executable. | 2 / 3 |
Workflow Clarity | The output structure and constraints imply a sequence, and 'request a re-run' offers a light feedback loop, but there is no explicit multi-step synthesis sequence or validation checkpoint confirming recommendations trace to evidence. | 2 / 3 |
Progressive Disclosure | Under 50 lines with well-organized sections (Inputs, Output Format, Constraints) and a clearly signaled single external reference, satisfying the simple-skill guideline for full marks without bundle files. | 3 / 3 |
Total | 10 / 12 Passed |