Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality skill that efficiently teaches constraint formalization through concrete mapping tables, executable code examples, and a clear output template with built-in validation. The 'only if' trap section and faithfulness check demonstrate sophisticated awareness of common errors. Minor improvement possible in progressive disclosure by better signaling related skills.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely efficient use of tokens. Tables compress English-to-logic mappings elegantly, no unnecessary explanations of basic concepts, and every section adds unique value. The skill assumes Claude's competence with logic and programming. | 3 / 3 |
Actionability | Provides fully executable code examples (JSON Schema, Hypothesis property tests), concrete mapping tables, and worked examples that demonstrate the complete translation process. The output format template is copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear workflow: decompose requirement → map to constraints → formalize in target → verify faithfulness. The output format section provides an explicit checklist with validation steps (over-constrains?, under-constrains?, direction check). | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections and tables, but it's a substantial single file. The reference to 'ambiguity-detector' and 'specification-to-temporal-logic-generator' suggests related skills exist but aren't clearly linked. Some content (like the full worked examples) could potentially be split out. | 2 / 3 |
Total | 11 / 12 Passed |