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 demonstrates excellent token efficiency through strategic use of tables, provides fully actionable guidance with real commands and code examples, and maintains clear workflow structure. The 'Do not' section adds valuable guardrails, and the output format ensures consistent, useful results.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely efficient use of tokens. Tables compress information well, no explanation of basic concepts Claude knows, and every section adds unique value. The coverage levels table and ecosystem commands are dense with actionable information. | 3 / 3 |
Actionability | Provides concrete, executable commands for every major ecosystem, a complete worked example with real Python code, and specific git commands for measuring churn. The test example is copy-paste ready with clear reasoning. | 3 / 3 |
Workflow Clarity | Clear 4-step sequence (get gap report → rank gaps → construct tests → handle uncoverable code) with explicit decision criteria at each stage. The ranking factors table provides clear validation criteria for prioritization decisions. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections, appropriate use of tables for reference material, and cross-references to related skills (mutation-test-suite-optimizer, dead-code-eliminator) without deep nesting. Content is appropriately self-contained. | 3 / 3 |
Total | 12 / 12 Passed |