Content
53%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 presents a clear, well-sequenced two-mode workflow with a good resource index over a sensibly organized bundle, but it has three recurring defects: a broken reference to a nonexistent `scripts/video_composer.py`, zero validation/verification checkpoints in a batch generation pipeline, and duplication of content that already lives in the reference files.
Suggestions
Fix the broken reference: either add `scripts/video_composer.py` to the bundle or remove Step 5 and its 资源索引/示例 4 entries that invoke it.
Add validation checkpoints to the workflow: validate incoming JSON against references/ppt_structure_guide.md before generating, verify all slide images exist before invoking generate_viewer.py, and check FFmpeg availability before video composition, with fix-and-retry loops on failure.
Replace the inline ASCII collaboration diagram and JSON schema example with pointers to references/collaboration_guide.md and references/ppt_structure_guide.md to remove duplication and tighten token usage; also give Step 3's image generation a concrete prompt-template example (e.g., referencing an assets/styles/*.md structure).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly tight step-by-step instruction with no re-explaining of concepts Claude already knows, but it duplicates material that lives in the bundle: the 30-line ASCII collaboration diagram duplicates references/collaboration_guide.md, and the inline JSON schema example duplicates references/ppt_structure_guide.md. Fits 'mostly efficient but could be tightened'; not a 2 because the padding is confined to a couple of sections rather than pervading the document. | 3 / 5 |
Actionability | Concrete commands exist for some steps (`python scripts/generate_viewer.py --input ./ppt_data.json --style gradient-glass`), but `scripts/video_composer.py` is invoked in Step 5 and the resource index yet does not exist in the bundle, and the core image-generation step is abstract ("使用智能体的图像生成能力创建图片" with no prompt template or output-spec example). Fits 'some concrete guidance but incomplete / missing key details'; not a 4 because a referenced executable path is broken and the central step lacks executable detail. | 3 / 5 |
Workflow Clarity | The five-step sequence is clearly ordered with two well-defined modes (collaborative and standalone) and concrete commands — otherwise a 4 — but there are no validation checkpoints anywhere (e.g., verify incoming JSON against the structure guide before generating, confirm images were actually created before building the player, check FFmpeg presence before composition). Per the rubric, batch operations (per-slide image generation) without validation cap workflow clarity at 3. | 3 / 5 |
Progressive Disclosure | Structure is good: a 资源索引 (resource index) clearly signals every bundle path with its purpose, references are one level deep, and the split (structure guide, collaboration guide, style templates, HTML templates) is sensible — all referenced files verified to exist except `scripts/video_composer.py`. Not a 5 because that reference is broken and some reference-file content is needlessly re-inlined; not a 3 because navigation and file organization are otherwise solid. | 4 / 5 |
Total | 13 / 20 Passed |