Extract urban planning entities from narrative text into structured world.json output.
npx skills add https://github.com/bivex/loreSystem --skill urban-design
Please help me install this Agent Skill. Skill: urban-design Source: https://github.com/bivex/loreSystem/tree/main/.claude/skills/urban-design Command: npx skills add https://github.com/bivex/loreSystem --skill urban-design
This Skill automates the extraction and structuring of urban planning elements from narrative text, making it easier to understand and manage city layouts.
Use the urban-design skill to extract all city districts and their characteristics from the provided text.
High-intent search queries and answers about installing and using this skill.
You can extract urban planning entities like districts, wards, and plazas from narrative text by using an entity extraction process. This identifies city structures, social geography, and historical layers to output structured data for game lore development.
The best way to structure city layouts for game lore is to map city structures and districts into a standardized format like entities/world.json. This enables spatial analysis of wealth distribution and functional zones within the urban environment.
Yes, you can map wealth distribution and functional zones by analyzing spatial characteristics within narrative text. The extraction process identifies and tags district types like noble, slum, or commercial, mapping their relative prosperity automatically.
Yes, urban entity extraction requires structured output in an entities/world.json format. This ensures extracted urban planning elements like districts and plazas adhere to defined entity types and extraction rules for consistent world building.
For city design, the extraction identifies and categorizes urban planning elements including districts, wards, plazas, and markets. It analyzes these structures to reveal the city's social geography and historical layers.
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