Content
63%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 highly actionable with executable commands and clear validation checkpoints, but it is noticeably padded by the verbose model-discovery dialog and inlines reference-grade design material that would be better split into separate files.
Suggestions
Trim the seven-step Model Discovery Flow to the essential decision points and move the website-by-website walkthrough into a separate references file.
Split the color palettes and font pairings into a referenced design file so SKILL.md stays an overview, improving progressive disclosure.
Convert the stated verification checks into concrete copy-paste commands (e.g. an officecli/grep snippet asserting one model3d per slide and the area-ratio rule).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete tables and bash/python examples, but the lengthy Model Discovery Flow (seven steps with sample dialog and multiple website walkthroughs) and restated color/font guidance pad the file with content Claude could derive or trim. | 3 / 5 |
Actionability | Provides concrete, executable officecli commands, curl snippets, and a runnable python build loop with real prop values; minor gaps are the illustrative placeholder URLs and the Poly Pizza parse step that is not fully executable. | 4 / 5 |
Workflow Clarity | The build is sequenced (compatibility gate -> discovery -> per-slide fresh model add -> verification) with explicit validation checkpoints (area-ratio check, one model3d per slide, coordinate re-check), though some verification steps are stated as checks rather than copy-paste commands. | 4 / 5 |
Progressive Disclosure | Structure is sectioned and references styles/INDEX.md, but there are no separate bundle files to offload the large palette/font/discovery material, so substantial reference-grade content is inlined rather than split into one-level-deep files. | 3 / 5 |
Total | 14 / 20 Passed |