算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
form-style【设计与创意】Use when asked to select a UI style, choose a design direction, pick a visual approach for a product, or match a style to an industry. Examples: "what style fits a fintech app", "choose between neumorphism and glassmorphism", "design direction for healthcare SaaS"
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Product needs a visual direction. Industry or product type is known or discoverable from context.
python3 -m form_agent.uiux search --domain product --query "{product_type}" --limit 3
python3 -m form_agent.uiux search --domain style --query "{recommended_style}" --limit 3
┌─ 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} │
└─────────────────────────────────────────────┘
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.