Content
70%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise and well-organized with executable code, but placeholder keywords make it not fully copy-paste ready and the batch export lacks validation checkpoints.
Suggestions
Replace placeholder literals (keyword1–keyword4) with realistic examples or guidance on how the user/Claude should pick the target column name.
Add a verification step after export, e.g. reloading the workbook or asserting ws.max_row to confirm rows were written and highlighted.
Add a brief guard for the empty-result path within the export step (e.g. logging skipped sheets) to make the batch workflow more robust.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body of two code-backed steps with no padding of concepts Claude already knows; every line is task-relevant instruction or code. | 3 / 3 |
Actionability | Provides concrete executable pandas/openpyxl code, but the target-column matching relies on placeholder 'keyword1'...'keyword4' literals rather than real values, so it is not copy-paste ready as-is. | 2 / 3 |
Workflow Clarity | Two steps are sequenced, but this batch export has no validation/verification checkpoint (e.g. confirming matches, checking the saved file opens), which caps workflow clarity at 2. | 2 / 3 |
Progressive Disclosure | A simple skill under 50 lines with well-organized sections and no external references; per the simple-skills note, this can score 3 with just well-organized sections. | 3 / 3 |
Total | 10 / 12 Passed |