Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is well-structured with per-function step sequences, concrete signatures, and error handling for missing data, but it is overlong for a single file, leans on placeholder pseudocode, and duplicates walkthroughs in a separate examples section. Splitting detail into reference files and tightening the duplicated examples would improve it.
Suggestions
Move the per-function markdown templates and the full '使用示例' section into a reference file (e.g. references/examples.md) to reduce the inline token load and improve progressive disclosure.
Replace placeholder/ellipses pseudocode with executable, copy-paste-ready snippets or explicitly mark illustrative fragments as templates to be filled.
Add explicit validation feedback loops (check → fix → retry) to the comparison and recommendation flows, mirroring the empty-data check already present in the detail flow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly action-oriented, but it re-explains basic concepts Claude already knows (e.g. what a similarity score threshold means, generic Python grouping boilerplate) and repeats each function across both a per-function walkthrough and a '使用示例' section, so it is efficient in places but could be tightened. | 2 / 3 |
Actionability | It provides concrete function signatures and markdown templates, but the 'code' is largely illustrative pseudocode with placeholders and ellipses ('category = ...', '# ... (执行层已返回)') rather than copy-paste-ready executable logic, placing it at the 'incomplete/pseudocode' anchor. | 2 / 3 |
Workflow Clarity | Each function follows a clear 4-step sequence (识别意图→调用执行层→检查/分析→格式化展示), and error/empty-data checks are present for the detail and statistics flows; however the comparison and recommendation flows lack explicit validation checkpoints or fix-retry feedback loops, so it sits just below the 'explicit validation/feedback' anchor. | 2 / 3 |
Progressive Disclosure | There are no bundle files (references/scripts/assets) and the entire skill is a single ~600-line monolith with all five features fully inline; while sections are well-labeled, the size warrants splitting detailed templates/examples into reference files, so it is organized but monolithic. | 2 / 3 |
Total | 8 / 12 Passed |