Content
72%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-organized, lean selection skill with strong progressive disclosure and a clear overview. It is held back by abstract working-pattern steps and the absence of a concrete, executable spec example or hard validation checkpoints.
Suggestions
Add one minimal copy-paste Vega-Lite or Observable Plot spec example so the skill gives executable, not just decision-level, guidance.
Tighten vague working-pattern steps ('Normalize the table shape', 'Choose the highest-level grammar') into concrete, checkable sub-actions.
Turn the 'Check whether...' steps into explicit validation gates with a clear stay-vs-leave decision so the workflow has real checkpoints.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it avoids teaching what declarative grammars or the libraries are, and every section (selection rules, working pattern, output expectations) earns its place with only minor redundancy between sections. | 3 / 3 |
Actionability | The selection rules give concrete tool-vs-condition guidance, but the working pattern contains vague steps like "Normalize the table shape" and there is no executable spec or code example, leaving the guidance incomplete rather than copy-paste ready. | 2 / 3 |
Workflow Clarity | The 7-step working pattern is clearly sequenced, but the 'Check whether...' steps read as soft considerations rather than explicit validation gates with error-recovery feedback loops, so checkpoints are present-but-implicit. | 2 / 3 |
Progressive Disclosure | The body is a concise overview pointing to well-signaled, one-level-deep references; the three skill-local ./references/*.md files exist and are organized under a clear References section with grouped navigation. | 3 / 3 |
Total | 10 / 12 Passed |