Content
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is well-organized and outlines a thorough design-system authoring workflow, but it stays abstract — providing structure and rules without neumorphism-specific executable examples or validation checkpoints.
Suggestions
Add concrete neumorphism examples — e.g., inner/outer shadow token combinations (surface/base + dark/light shadow offsets) and copy-paste CSS or component markup — to lift actionability.
Insert an explicit validation/feedback loop into the authoring workflow (e.g., 'After drafting rules, run the QA checklist and fix any rule that fails a token/threshold anchor before output').
Tighten or deduplicate sections that restate generic design-system principles to improve token efficiency and neumorphism specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is well-structured and not padded with basic concept explanations, but it is fairly long and somewhat abstract for a skill whose job is producing neumorphism guidance; a few sections restate general design-system principles rather than adding neumorphism-specific value. | 2 / 3 |
Actionability | It provides clear structural expectations (tokens, states, QA checklist) and concrete do/don't rules, but offers no concrete code, token-to-shadow mappings, or copy-paste examples specific to neumorphism. | 2 / 3 |
Workflow Clarity | The authoring workflow is clearly sequenced into six numbered steps, but it lacks explicit validation/feedback checkpoints and the skill's own QA checklist is described rather than shown as an executable validation loop. | 2 / 3 |
Progressive Disclosure | Content is organized into clear single-purpose sections with no bundle files or external references to manage; for a standalone skill, the well-organized structure is sufficient. | 3 / 3 |
Total | 9 / 12 Passed |