urban-design
Extract urban planning entities from narrative text. Use when analyzing city districts, wards, quarters, plazas, markets, slums, noble districts, and port areas.
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- 2026년 3월 21일 15:19
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소스 지침 · 읽기 전용 미리보기- name
- urban-design
- description
- Extract urban planning entities from narrative text. Use when analyzing city districts, wards, quarters, plazas, markets, slums, noble districts, and port areas.
# urban-design
Domain skill for urban planning and city structure extraction.
## Entity Types
| Type | Description |
|------|-------------|
| `district` | Named city district or neighborhood |
| `ward` | Administrative ward or section |
| `quarter` | City quarter (e.g., merchant quarter) |
| `plaza` | Public plaza or gathering space |
| `market_square` | Market area or trade hub |
| `slums` | Impoverished area |
| `noble_district` | Wealthy or aristocratic area |
| `port_district` | Waterfront or harbor area |
## Extraction Rules
1. **Named districts**: Extract with exact name and characteristics
2. **Social geography**: Map wealth distribution across the city
3. **Infrastructure**: Roads, walls, gates, utilities mentioned
4. **Activity zones**: Commercial, residential, religious, industrial areas
5. **Historical layers**: Old vs new city sections
## Output Format
Write to `entities/world.json` (world-team file):
```json
{
"districts": [
{
"id": "4dbf72a5-1a2b-4b3c-9d4e-5f6a7b8c9d0e",
"tenant_id": "t-1",
"name": "Merchant Quarter",
"city_id": "l-1",
"district_type": "commercial",
"population": 12000,
"safety_level": 0.6,
"prosperity_level": 0.8,
"is_active": true,
"created_at": "2026-02-14T10:00:00+00:00",
"updated_at": "2026-02-14T10:00:00+00:00"
}
],
"slums": [
{
"id": "c2d8b8a1-9e7b-4c6d-8a1b-2c3d4e5f6a7b",
"tenant_id": "t-1",
"name": "The Warrens",
"city_id": "l-1",
"district_type": "slums",
"population": 25000,
"safety_level": 0.2,
"prosperity_level": 0.1,
"is_active": true,
"created_at": "2026-02-14T10:00:00+00:00",
"updated_at": "2026-02-14T10:00:00+00:00"
}
]
}
```
## Key Considerations
- **Social inequality**: Slums vs noble districts show wealth gap
- **Mixed use**: Many areas are residential + commercial
- **Historical layers**: Cities have old and new sections
- **Cross-references**: If needed, track relationships separately in drafts, but final JSON must match `LoreData.from_dict`.
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