Content
72%Reviews 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, exact specs, and a clean one-level reference structure that matches real bundle files. Its main weaknesses are mild redundancy between inline tables and referenced guides, and the absence of explicit validation/retry checkpoints for batch generative workflows.
Suggestions
Add explicit validation/retry steps to the generative workflows (e.g., after generate.py, verify output exists and re-run on failure) to lift workflow clarity to 3.
Remove the inline banner/icon/social sizing tables that duplicate references/banner-sizes-and-styles.md and references/social-photos-design.md, linking instead to keep the overview lean.
Tighten the 'When scripts fail, try to fix them directly' note into a concrete diagnosis/retry step rather than a generic instruction.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with copy-paste-ready commands and compact tables, but it repeats sizing/style tables inline (banner, icon, social sizes) already covered by referenced files, adding tokens that the references should hold. | 2 / 3 |
Actionability | Provides fully executable python3 commands with concrete flags and example values, plus exact pixel dimensions and clear sub-skill routing — copy-paste ready per the top anchor. | 3 / 3 |
Workflow Clarity | Workflows are sequenced (banner, social photos, complete brand package), but batch/generative operations lack explicit validate-then-retry checkpoints; guidance is just 'fix them directly' or 'visually inspect and re-export' without a structured feedback loop. | 2 / 3 |
Progressive Disclosure | SKILL.md is an overview with well-signaled one-level-deep references in dedicated tables, and the referenced files (verified present in references/) and scripts/ map cleanly to inline citations, enabling easy navigation. | 3 / 3 |
Total | 10 / 12 Passed |