Content
61%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.
The content provides mostly executable, well-sequenced code with end-of-workflow validation, but the core Parquet conversion step is assumed rather than shown and placeholders undermine actionability.
Suggestions
Replace the assumed conversion with an explicit Excel→Parquet code step (e.g., pd.read_excel then df.to_parquet) so the workflow is self-contained.
Replace the '目标指标名称' placeholder with concrete guidance on how to identify the target metric row, or parameterize it clearly.
Remove the fallback dummy 'result_data' block or move it to a clearly labeled standalone example to avoid mixing real and illustrative data.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly executable code with brief step introductions and no over-explanation of concepts Claude already knows; only minor padding (the fallback dummy 'result_data' block) could be trimmed. | 4 / 5 |
Actionability | Real, executable Python is provided, but the headline Excel→Parquet conversion is only assumed ('假设已通过大文件处理技能将Excel转换为Parquet') and placeholders like '目标指标名称' leave key details missing. | 3 / 5 |
Workflow Clarity | Three steps are clearly sequenced and Step3 includes output verification, but the Excel→Parquet conversion between Step1 and Step2 is absent, breaking the sequence with an implicit checkpoint. | 3 / 5 |
Progressive Disclosure | No bundle files are present or needed; the single-file skill is organized into three clearly headed step sections with good navigation, satisfying the simple-skill exception with only minor organization gaps. | 4 / 5 |
Total | 14 / 20 Passed |