Content
77%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 body is a well-structured, highly actionable instruction skill: a clearly sequenced five-agent workflow with an explicit quality checkpoint and bounded feedback loop, concrete output schemas, a worked example, and an exemplary reference index with read-when triggers. Its weaknesses are redundancy from repeated capability/workflow restatements and an unspecified knowledge-base storage mechanism.
Suggestions
Consolidate the duplicated content: the '注意事项' section repeats the '能力包含' list and the prompt formula already stated above — keep one canonical statement of principles and drop the restatement.
Compress the three '使用示例' entries into one representative example plus a small table of varying parameters (场景类型/情绪基调), and show the repetitive per-scene JSON placeholder structure once instead of scene_1..scene_5 blocks.
Specify where the knowledge base lives (a concrete file or directory path) and how it is queried and written, so the 知识库核查/归档 steps are executable rather than nominal.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The step definitions and JSON output schemas are dense and useful, but there is noticeable repetition: the top '能力包含' list is restated nearly verbatim in '注意事项', the '使用示例' section re-walks the same five-step workflow three times with only parameter values changing, and the placeholder-heavy JSON blocks (e.g. '场景描述' repeated across five scene keys) could be shown once. It is mostly efficient with tightening opportunities, matching anchor 3 rather than anchor 2 since there is no conceptual over-explanation of things Claude already knows. | 3 / 5 |
Actionability | Concrete guidance throughout: the explicit formula (主体+运动+场景+镜头语言+光影+氛围), per-step JSON output schemas, a seven-item quality checklist, and a fully worked example with real Chinese/English prompts and Suno/AI-painting prompts. It falls short of anchor 5 because the knowledge-base steps ('核查知识库', '归档至知识库') never specify where the knowledge base lives or how to query/write it from this SKILL.md, leaving a gap an executor cannot resolve without reading references. | 4 / 5 |
Workflow Clarity | The five steps are clearly sequenced with named responsible agents, step 3 is an explicit validation checkpoint with a seven-item checklist, and a bounded feedback loop ('不通过处理：反馈给提示词生成师调整，最多反馈2次') with re-check and pass/fail output formats. This matches the anchor-5 pattern of clear sequence, explicit validation, feedback loops, and checklists; it is clearly above anchor 4, which tolerates missing checkpoints. | 5 / 5 |
Progressive Disclosure | The body stays an overview and routes all depth to a well-signaled '资源索引' section: each of the six references/ files and the assets/examples/sample-prompts.md file is linked with a one-line content summary and an explicit '何时读取' (when to read) trigger. All referenced paths exist in the bundle (verified against the file listing), references are one level deep, and navigation is easy — matching anchor 5 exactly rather than anchor 4, which allows organization gaps. | 5 / 5 |
Total | 17 / 20 Passed |