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Data-Driven Design

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Data-driven GIS for evidence-based design

Data & Analytics#sensors#data-driven#api-integration#gis#occupancy#space-syntax#climate-analysis
Authorgerald-ica
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill helps architects and urban designers replace intuition with evidence by integrating GIS context, sensor streams, occupancy analytics, space syntax, climate data, and API sources into a coherent design workflow.

Core Features & Use Cases

  • GIS integration for contextual site analysis: combine location, topography, land use, and infrastructure data to inform zoning, massing, and program decisions.
  • Sensor data and occupancy analytics pipelines: ingest, clean, and analyze indoor environmental quality, occupancy, and usage patterns to drive HVAC, daylight, and space planning.
  • Space syntax and urban data analytics: quantify connectivity, accessibility, movement, and urban vitality to optimize circulation and public realm design.
  • Climate data processing and API data sources: incorporate EPW weather data, microclimate indicators, and API feeds for performance benchmarks and resilience planning.

Quick Start

Load your GIS context and sensor data, then run a data-driven design iteration to inform early spatial decisions.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: Data-Driven Design
Download link: https://github.com/gerald-ica/opencode-config-snapshot/archive/main.zip#data-driven-design

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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