tonone-ai touch-ui — Mobile UI Guidelines
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
When to use
User asks about mobile UI, touch targets, platform conventions, or mobile interaction patterns.
Workflow
- Identify platform and topic from user request (iOS / Android / cross-platform; touch targets, navigation, forms, gestures, etc.)
- Search app-interface knowledge base:
python3 -m touch_agent.uiux search --domain app-interface --query "{platform} {topic}" --limit 5 - Search stack conventions if framework is mentioned:
python3 -m touch_agent.uiux search --domain stacks --query "{framework}" --limit 3 - Output platform-specific rules with code examples
Output format
┌─ Mobile UI Guidelines — {platform} ─────────────────────────────────┐
│ Rule │ Spec │ Severity │
├────────────────────────┼─────────────────────────┼───────────────────┤
│ Touch target min size │ 44×44pt (iOS) │ Critical │
│ Touch target min size │ 48×48dp (Android) │ Critical │
│ {rule} │ {spec} │ {severity} │
└────────────────────────┴─────────────────────────┴───────────────────┘
Code example ({platform}):
{code_block}
Anti-patterns
- Never apply iOS Human Interface Guidelines patterns on Android (and vice versa)
- Never set touch targets below 44×44pt on iOS or 48×48dp on Android
- Never use hover-dependent interactions on touch-primary interfaces
- Never skip platform detection — always confirm iOS vs. Android before outputting guidelines
Delivery
If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.