Content
87%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, highly actionable, and well-organized into a clear Step1–Step5 flow, but the batch Excel workflow lacks explicit validation or error-recovery checkpoints, capping workflow clarity at 2.
Suggestions
Add validation checkpoints between steps, e.g. verify total_rows and non-empty categories before computing ratios, and check that total_count > 0 before dividing.
Include a brief error-recovery note for common failures (missing sheet, merged-cell edge cases, font-not-found) so Claude can self-correct mid-workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, code-driven body with only brief purposeful comments (e.g. "仅读取行索引以快速计数") and no padding explaining concepts Claude already knows, so every token earns its place. | 3 / 3 |
Actionability | Each step is fully executable Python with concrete column names, font config, and explicit output paths — copy-paste ready rather than pseudocode or vague direction. | 3 / 3 |
Workflow Clarity | Steps 1–5 are clearly sequenced (read → clean → count → visualize → export), but this batch Excel workflow has no validation checkpoints or error-recovery loops, which per the guidelines caps clarity at 2 for such operations. | 2 / 3 |
Progressive Disclosure | A single-purpose skill under ~110 lines with no bundle files, organized into clear Step1–Step5 sections — meeting the scoring-note allowance for simple skills to score 3 on organization. | 3 / 3 |
Total | 11 / 12 Passed |