Content
85%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 well-structured, actionable skill body with a clear validated four-step workflow and good progressive disclosure into the style-library reference. The main improvement area is trimming the inline template verbosity for tighter token efficiency.
Suggestions
Reduce the three full inline JSON templates to one representative template plus a pointer to references/style-library.md for the rest, to improve conciseness.
Consider collapsing the 资源引用 and 注意事项 sections, keeping only the one-line upstream attribution and the critical 403-拦截 fallback note.
Tighten the 万能结构公式 and 原子化 Schema table, which slightly overlap, into a single consolidated reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and avoids explaining concepts Claude already knows, but the three full inline JSON templates and the resource/attribution sections add length that could be trimmed slightly. | 4 / 5 |
Actionability | Concrete executable guidance is provided — real bash commands (python3 scripts/query_templates.py --category ecommerce), a real query script, variable-filled JSON templates, and an atomic Schema table — with only minor gaps around the placeholder variables. | 4 / 5 |
Workflow Clarity | The four-step workflow is clearly sequenced and Step 4 includes explicit validation checkpoints (检查文字是否准确、构图是否符合、比例是否正确) with a feedback loop (不满足则调整 Schema 维度后重新生成), satisfying the batch-iteration validation requirement. | 5 / 5 |
Progressive Disclosure | The body is an overview that inlines a representative subset (Schema table, 3 templates, 5 tips) and clearly signals one-level-deep references to the verified real file references/style-library.md and scripts/query_templates.py, with easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |