Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill that efficiently teaches bug reproduction test generation through clear workflows, actionable tables, and a concrete worked example. The content is lean yet comprehensive, covering edge cases and anti-patterns without unnecessary explanation. The structured approach (classify → extract triple → write/minimize → stabilize) provides clear guidance with appropriate validation checkpoints.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place with actionable tables and minimal prose. No explanation of concepts Claude already knows; the content is dense with practical guidance without padding. | 3 / 3 |
Actionability | Provides concrete, executable Python test example, specific minimization techniques, and clear decision tables. The worked example is copy-paste ready and demonstrates the exact output format. | 3 / 3 |
Workflow Clarity | Clear 4-step sequence with explicit validation (minimize until green, stabilize before shipping). The minimization process includes feedback loops (delete → still red? → keep deleting) and the 'Do not' section provides guardrails. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections (steps, tables, worked example, edge cases, do-nots). References to related skills (requirement-enhancer, bug-localization, bug-to-patch-generator) are one level deep and clearly signaled in context. | 3 / 3 |
Total | 12 / 12 Passed |