| 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
- Named districts: Extract with exact name and characteristics
- Social geography: Map wealth distribution across the city
- Infrastructure: Roads, walls, gates, utilities mentioned
- Activity zones: Commercial, residential, religious, industrial areas
- Historical layers: Old vs new city sections
Output Format
Write to entities/world.json (world-team file):
{
"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.
