Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured mobile design skill with excellent actionability through concrete code examples, specific values, and comprehensive anti-pattern tables. The progressive disclosure is exemplary with clear file references and when-to-read guidance. The main weakness is moderate verbosity with some redundant emphasis and repeated content that could be consolidated.
Suggestions
Consolidate the anti-patterns section - the detailed tables and the 'AI MOBILE ANTI-PATTERNS' section have overlapping content that could be merged
Remove redundant 'read the files' emphasis - the point is made clearly once; repeating it multiple times adds tokens without value
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some redundancy (anti-patterns listed twice in different formats, repeated emphasis on reading files). The tables and quick references are efficient, but the overall length could be tightened without losing value. | 2 / 3 |
Actionability | Provides fully executable code examples for both React Native and Flutter, specific pixel values for touch targets, concrete commands for scripts, and copy-paste ready patterns. The anti-pattern tables with direct alternatives are highly actionable. | 3 / 3 |
Workflow Clarity | Clear sequencing with mandatory checkpoints, pre-development checklists, per-screen checklists, and release checklists. The checkpoint template with explicit validation (can't fill it = go back and read) provides excellent feedback loops. | 3 / 3 |
Progressive Disclosure | Excellent structure with quick reference summaries inline and clear one-level-deep references to detailed files (touch-psychology.md, mobile-performance.md, etc.). Tables clearly indicate which files to read and when, with good navigation signals. | 3 / 3 |
Total | 11 / 12 Passed |