Content
77%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A comprehensive, highly actionable prompt-engineering skill with concrete templates, examples, and a clear interaction workflow. Its main weaknesses are verbosity (repeated examples) and a monolithic structure with no progressive disclosure via reference files.
Suggestions
Move the 镜头语言词汇库 and 风格词汇库 tables and the per-capability example banks into separate reference files (e.g. references/vocabulary.md, references/examples.md) and link to them from SKILL.md to reduce the inline footprint.
Trim each of the ten capability sections to a single representative example prompt instead of 2-3, keeping the prompt-pattern template as the primary guidance.
Consider splitting the 超长视频分段拼接策略 and 输出格式 details into a reference file, leaving SKILL.md as a concise overview with one-level-deep links.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is domain-specific and actionable rather than explaining generic concepts Claude knows, but the ~580-line body repeats 2-3 full example prompts per capability and could be tightened; vocabulary tables and example banks pad the token budget. | 2 / 3 |
Actionability | Provides concrete prompt-pattern templates, copy-paste-ready full example prompts, exact @-reference naming conventions (@图片1, @视频1), and specific parameter specs — directly executable guidance. | 3 / 3 |
Workflow Clarity | Clear sequenced interaction flow (第一步获取输入 through 第四步微调优化) plus the超长视频分段策略 with explicit衔接点 checkpoints and a 注意事项 verification checklist covering @-reference labeling. | 3 / 3 |
Progressive Disclosure | Well-organized into thematic sections, but entirely monolithic (~580 lines, no bundle files present); vocabulary libraries and per-capability example banks that could live in separate reference files are inline, so it does not qualify for the simple-skill exception. | 2 / 3 |
Total | 10 / 12 Passed |