tonone-ai draft-patterns — UX Pattern Reference
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 interaction patterns, best practices, form design, navigation, or loading/empty states.
Workflow
- Identify pattern category from user request (forms, navigation, loading, empty states, modals, etc.)
- Search UX knowledge base:
python3 -m draft_agent.uiux search --domain ux --query "{pattern_category}" --limit 5 - Cross-reference severity ratings from results — surface Critical and High first
- Output structured do/don't table with code examples and severity
Output format
┌─ UX Patterns — {pattern_category} ──────────────────────────────────────────┐
│ Category │ Issue │ Do │ Don't │ Severity │
├─────────────┼────────────────────┼─────────────────────┼──────────┼──────────┤
│ {category} │ {issue} │ {do} │ {dont} │ Critical │
│ {category} │ {issue} │ {do} │ {dont} │ High │
│ {category} │ {issue} │ {do} │ {dont} │ Medium │
└─────────────┴────────────────────┴─────────────────────┴──────────┴──────────┘
Code example ({do_example_label}):
{code_block}
Anti-patterns
- Never recommend patterns without checking platform context (web vs. mobile vs. desktop)
- Never ignore severity ratings — Critical issues must be called out explicitly
- Never present more than 7 patterns per category without grouping
- Never omit code examples for implementation-level questions
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.