urban-design

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Extract urban planning entities from narrative text. Use when analyzing city districts, wards, quarters, plazas, markets, slums, noble districts, and port areas.

bivex By bivex schedule Updated 2/14/2026

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):

{
  "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.
Install via CLI
npx skills add https://github.com/bivex/loreSystem --skill urban-design
Repository Details
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