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 pattern extraction with concrete algorithms, real code examples, and clear decision frameworks. The content respects Claude's intelligence while providing genuinely useful domain-specific knowledge about clone detection normalization and idiom vs clone distinction. The worked example demonstrating extraction from 23 copies to a shared helper is particularly effective.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is dense with actionable information and avoids explaining concepts Claude already knows. Every section earns its place—tables are used efficiently, examples are minimal but complete, and there's no padding or unnecessary context about what patterns are. | 3 / 3 |
Actionability | Provides concrete, executable guidance throughout: specific normalization algorithm steps, real code examples showing before/after extraction, clear output format template, and actionable tables distinguishing idiom from clone. The worked example is copy-paste demonstrable. | 3 / 3 |
Workflow Clarity | The four-step clone-finding process (tokenize → normalize → hash → group) is clearly sequenced. The skill provides explicit decision criteria (the idiom vs clone table) and clear output expectations. The 'Do not' section serves as validation guidance for avoiding common mistakes. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections progressing from concept (three pattern types) to technique (finding clones/idioms) to worked example to decision criteria to output format. Cross-references to related skills (code-refactoring-assistant, code-smell-detector) are appropriately signaled without deep nesting. | 3 / 3 |
Total | 12 / 12 Passed |