Design Automation

Automate AEC design tasks with rule-based systems and computational workflows.

198|37|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/Abhinavbwj/Claude-skills-for-Computational-Designers --skill design-automation-abhinavbwj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Design Automation
Source: https://github.com/Abhinavbwj/Claude-skills-for-Computational-Designers/tree/main/skills/design-automation
Command: npx skills add https://github.com/Abhinavbwj/Claude-skills-for-Computational-Designers --skill design-automation-abhinavbwj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, numpy, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates AEC design automation tasks, reducing manual labor and increasing efficiency in design workflows.

Core Features & Use Cases

  • Rule-Based Design Systems: Apply automated design rules for compliance checking, constraint satisfaction, and space planning.
  • Space Planning Algorithms: Implement algorithms for adjacency-based layout, grid-based placement, force-directed layout, and evolutionary layout.
  • Drawing Automation: Generate floor plans, sections, elevations, and detail drawings from spatial data.
  • Code Compliance Checking: Automate building code compliance checks with configurable rules and validation.
  • Use Case: For a new office building project, use this Skill to automatically generate compliant floor plans, sections, and elevations, and perform code compliance checks.

Quick Start

Use the design-automation skill to generate a compliant office building floor plan based on the provided structural grid and room program.

Frequently Asked Questions about Design Automation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate building code compliance checks for AEC designs?

Automate building code compliance checks by applying configurable rule-based logic to your spatial data. This validates architectural designs against specific constraints, ensuring automated code compliance checking without manual reviews.

What is rule-based space planning in computational design?

Rule-based space planning uses algorithms for adjacency-based, grid-based, and force-directed layouts to automate spatial arrangements. It generates optimized floor plans by computationally satisfying predefined architectural design constraints.

Can I generate architectural drawings automatically from spatial data?

Yes, you can automate drawing generation directly from spatial data. This process automatically outputs architectural floor plans, sections, elevations, and detail drawings based on your spatial geometry.

Do I need Python and Pandas to run rule-based design automation workflows?

Yes, you need Python, Pandas, and Numpy to run rule-based design automation workflows. These dependencies handle the computational geometry algorithms and data processing required for space planning and drawing generation.

What are the limitations of code compliance checking for architectural layouts?

Code compliance checking limitations depend on the configurability of your rule-based logic. Since validation relies on predefined computational rules, complex or ambiguous regulatory conditions may require manual interpretation beyond automated checks.