Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with executable commands and clear templates, and its five-step workflow is well sequenced. Its weaknesses are a monolithic structure with no bundled references and the absence of explicit validation feedback loops.
Suggestions
Move the Camera Language Reference, Platform Specs, and prompt-enrichment blocks into separate files under references/ and link to them from the body so SKILL.md stays a lean overview.
Add an explicit validation/verification checkpoint (e.g., confirm the reference image matches brand palette before generating video, and re-check the prompt against the checklist before invoking the script) to create a feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly tight tables, templates, and commands with no padded concept explanations, but reference material like the full Camera Language and Platform Specs sections plus a long example walkthrough could be trimmed or split out. | 2 / 3 |
Actionability | Provides copy-paste-ready bash commands with full flags, concrete templates, and scenario-to-model/mode mapping tables — fully executable guidance matching the top anchor. | 3 / 3 |
Workflow Clarity | The five-step protocol is clearly sequenced and a Prompt Quality Checklist exists, but there are no explicit validation gates or validate→fix→retry feedback loops, only an implicit end-of-process checklist. | 2 / 3 |
Progressive Disclosure | No bundle files exist and the SKILL.md is monolithic, with reference content (Camera Language, Platform Specs, prompt enrichment blocks) inlined that would be better split into one-level-deep reference files. | 2 / 3 |
Total | 9 / 12 Passed |