Content
80%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 content is highly actionable with concrete prompts and model selection logic, and well-organized for a compact skill. Its main gap is the absence of validation/verification for this batch generation workflow, which caps workflow clarity.
Suggestions
Add a verification checkpoint after the parallel generations, e.g. check each result succeeded and retry or report failures before presenting the grid.
Note expected outputs (file paths or returned image refs) so the executing agent can confirm all 5 angles were produced before suggesting upsells.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, mostly token-efficient prompts with no preamble explaining concepts Claude already knows; minor repetition across angle prompts ('commercial product photography', background/lighting reuse) keeps it just below 5. | 4 / 5 |
Actionability | Fully executable guidance: concrete prompts, explicit model IDs, aspect ratios, and conditional model selection based on whether a reference image is supplied. | 5 / 5 |
Workflow Clarity | A clear parallel plan exists, but this is a batch operation with no validation/verification step (e.g. checking each generation succeeded or retrying failures), which caps workflow_clarity at 3 per the feedback-loops guideline. | 3 / 5 |
Progressive Disclosure | A short single-file skill with well-organized sections (Inputs, Steps, Notes, Trigger Keywords) and no bundle files; structure is clear and navigable, qualifying for the simple-skill exception. | 5 / 5 |
Total | 17 / 20 Passed |