Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-organized, actionable instruction skill with clear workflows and strong progressive disclosure via real one-level-deep reference files. The main gaps are mild redundancy in the examples section and the absence of explicit validation/feedback checkpoints in the workflows.
Suggestions
Tighten the 使用示例 section so it illustrates outputs rather than re-listing the 操作步骤 steps already covered above.
Add an explicit validation/check step to each workflow (e.g. a 笔记自检 checklist mapping to 质量标准) so each flow ends with verify-then-fix guidance.
De-duplicate the reference links between the inline citations and the 资源索引 section, or keep references only in the index to reduce repetition.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and does not explain concepts Claude already knows, but the 使用示例 section restates workflow steps already covered in 操作步骤 and the inline references overlap with the 资源索引 section, so it could be tightened. | 2 / 3 |
Actionability | As an instruction-only skill it provides concrete, specific guidance — a prompt formula (主体+描述+场景+风格+细节+构图), term libraries (光泽皮肤、清透底妆), sample titles ("✨挖到宝了！...") and tags (#护肤推荐 #美白 #烟酰胺) — which is copy-ready and actionable. | 3 / 3 |
Workflow Clarity | The three workflows are clearly numbered and sequenced with a built-in 质量标准 checklist, but there are no explicit validation checkpoints or fix→retry feedback loops within the workflows, so they stop short of the anchor for 3. | 2 / 3 |
Progressive Disclosure | SKILL.md acts as an overview with well-signaled, one-level-deep references to four real bundle files (note_templates.md, tag_library.md, image_prompt_guide.md, makeup_trends.md), surfaced both inline and in a labeled 资源索引 with per-file purposes. | 3 / 3 |
Total | 10 / 12 Passed |