Content
90%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A dense, executable skill body that respects token budget and gives concrete wrong/correct guidance. It loses a little on workflow clarity (no explicit validation loops for destructive selection/reset operations) and progressive disclosure (everything inline, no split reference files).
Suggestions
Add an explicit validation/recovery step for destructive or batch selection operations (e.g., verify bounds after resetCellSelection on data change) to satisfy the workflow-clarity feedback-loop expectation.
Move the API Discovery surface into a dedicated references file and link to it one level deep, keeping SKILL.md as a concise overview.
Soften the trigger phrasing in the description with a couple of colloquial synonyms users might actually say (e.g., "multi-cell select", "unselect cells").
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body that assumes Claude knows TypeScript and table libraries; every section earns its place with executable snippets and no padded conceptual explanation. | 5 / 5 |
Actionability | Copy-paste-ready handler bindings, programmatic range calls, and read APIs with concrete arguments, plus a Common Mistakes section pairing wrong vs correct code. | 5 / 5 |
Workflow Clarity | Setup, core patterns, and mistakes are clearly sequenced, but destructive/batch operations (selecting, clipboard, reset on data change) lack explicit validate-then-proceed checkpoints. | 4 / 5 |
Progressive Disclosure | Well-organized sections with a one-level API Discovery pointer to node_modules, but there are no separate reference files; the inline API surface could be split out. | 4 / 5 |
Total | 18 / 20 Passed |