Content
68%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.
A highly actionable, well-structured skill body with excellent executable commands and clear sequencing. Its main weaknesses are duplicated reference content inline and missing validation checkpoints on batch generation/export.
Suggestions
Add an explicit validation checkpoint after batch generation/export (e.g., verify each PNG exists at the target dimensions and re-run failed variants) to lift workflow_clarity above the batch cap of 3.
Remove the inlined banner-size and style tables from SKILL.md and point solely to references/banner-sizes-and-styles.md to eliminate duplication and tighten conciseness.
Drop or merge the 'When to Activate' section since its triggers already live in the frontmatter description.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly actionable but duplicates the banner-size and style tables that already live in the reference file, and the 'When to Activate' section overlaps the frontmatter description; trimming these would push it toward a 4. | 3 / 5 |
Actionability | Copy-paste-ready commands with full arguments (gemini_batch_process.py, screenshot.js), a model-selection decision table, and exact pixel dimensions give fully executable guidance across the common cases. | 5 / 5 |
Workflow Clarity | A clear 5-step sequence with an iterate-on-feedback loop, but the batch image generation and PNG export steps lack explicit output validation checkpoints, so the batch-operation cap holds at 3. | 3 / 5 |
Progressive Disclosure | Well-organized sections with clearly signaled one-level-deep references ('Full reference:', 'Full 22 styles:'); the inline duplication of the size/style tables is the minor gap keeping it from a 5. | 4 / 5 |
Total | 15 / 20 Passed |