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 exemplary skill that efficiently communicates complex C++ to Dafny translation patterns. It makes excellent use of tables for dense information, provides a complete executable example with proper specifications, and clearly delineates what translates versus what doesn't. The delta-based approach referencing the Python translator skill avoids redundancy while the C++-specific content is comprehensive and actionable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, using tables to compress information and avoiding explanations of concepts Claude already knows. Every section adds C++-specific translation knowledge that isn't obvious. | 3 / 3 |
Actionability | Provides fully executable Dafny code with a complete worked example, concrete translation patterns in tables, and specific guidance on modeling choices. The argmin example is copy-paste ready with proper invariants and specifications. | 3 / 3 |
Workflow Clarity | The skill clearly sequences the decision process: decide overflow model upfront, then model pointers, then translate. The 'Do not' section provides explicit validation checkpoints, and the output format ensures structured verification of modeling choices. | 3 / 3 |
Progressive Disclosure | Excellent structure with clear sections (impedance mismatch table, overflow decision, pointer modeling, worked example, limitations, anti-patterns). References to related skills (python-to-dafny-translator, program-to-tlaplus-spec-generator) are one level deep and clearly signaled. | 3 / 3 |
Total | 12 / 12 Passed |