Content
67%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, actionable multi-agent workflow with concrete templates, specs, validation, and a feedback loop, supported by real one-level-deep reference files. Its main weakness is verbosity from repeated agent scaffolding and three exhaustive worked examples.
Suggestions
Trim the three worked examples to one representative end-to-end example and move the others into assets/examples/, where a full example-output.md already exists.
Move the per-agent 人设规范/音色语气 detail and full JSON output schemas into references/agent-roles.md and references/content-templates.md, keeping SKILL.md as an overview with compact field summaries.
Add explicit inter-agent handoff checkpoints (e.g. 'verify script_duration matches demand video_duration before口播生成') to make the validation between steps concrete rather than implicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly operational but noticeably verbose: the 5-agent section repeats an identical 职责/规范/输出格式 structure and three fully worked examples with exact prices and full scripts pad the document well beyond what Claude needs. | 3 / 5 |
Actionability | Provides concrete per-agent JSON output templates and precise specs (1080x1920, 30fps, BGM 25%, 0.8x语速, 15秒≈30字) plus named tooling (Azure TTS, 百度TTS, FFmpeg, 剪映API, HeyGen, D-ID), with only minor gaps in executable detail. | 4 / 5 |
Workflow Clarity | Clear 步骤1–5 sequence with a step-5 校验清单 and an explicit feedback loop ('迭代至达标…最多回溯2个层级'); validation is present, though some intermediate checkpoints between agents are implicit rather than spelled out. | 4 / 5 |
Progressive Disclosure | A 资源索引 section points to four real reference files (agent-roles, workflow-steps, content-templates, tech-integration) and assets/examples/, each with '何时读取' guidance at one level deep, but the body still inlines substantial detail (full JSON schemas, persona norms) that could live in those references. | 4 / 5 |
Total | 15 / 20 Passed |