tonone-ai form-style — UI Style Selection
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
Product needs a visual direction. Industry or product type is known or discoverable from context.
Workflow
- Identify product type from user request or project context
- Search product reasoning:
python3 -m form_agent.uiux search --domain product --query "{product_type}" --limit 3 - Get recommended style details:
python3 -m form_agent.uiux search --domain style --query "{recommended_style}" --limit 3 - Cross-reference anti-patterns from the product search results — check the Anti_Patterns field
- Output the recommendation using the format below
Output format
┌─ Style Recommendation ─────────────────────┐
│ Product: {product_type} │
│ Style: {primary_style} │
│ Fallback: {secondary_style} │
├─ Effects ───────────────────────────────────┤
│ {key_effects from style search} │
├─ Anti-patterns ─────────────────────────────┤
│ ✗ {anti_pattern_1} │
│ ✗ {anti_pattern_2} │
├─ Implementation Checklist ──────────────────┤
│ □ {checklist_item_1} │
│ □ {checklist_item_2} │
└─────────────────────────────────────────────┘
Anti-patterns
- Never pick style based on aesthetics alone — match to product type + audience
- Never ignore anti-pattern list from reasoning rules
- Never recommend more than 2 combined styles (primary + fallback)
- Never recommend a style marked as incompatible with the target framework
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.