computational-design-skills

Plugin computational-design-skills in Abhinavbwj/Claude-skills-for-Computational-Designers. Commands read from the repo's manifest — 1 month ago.

Skills (18)

• algorithmic-patterns

  L-systems, cellular automata, agent-based modeling, swarm intelligence, reaction-diffusion, growth algorithms, packing algorithms, and nature-inspired computation for AEC design

• bim-scripting

  Revit API fundamentals, Dynamo for Revit, pyRevit framework, IFC schema and openBIM, model checking, automated documentation, clash detection, and BIM interoperability tools for AEC computational design

• cd-calculator

  Python calculators for geometry analysis, structural checking, solar calculations, panel optimization, mesh analysis, material estimation, and fabrication cost estimation for AEC computational design

• cd-foundations

  Auto-activating foundation layer providing computational design paradigms, key pioneers, tools landscape, core concepts, and skill routing for all AEC computational design tasks

• computational-geometry

  NURBS curves and surfaces, mesh geometry, boolean operations, subdivision surfaces, tessellation methods, surface analysis, and point cloud processing for AEC computational design

• data-driven-design

  GIS integration, sensor data, occupancy analytics, space syntax analysis, urban data analytics, climate data processing, and API data sources for evidence-based AEC computational design

• design-automation

  Rule-based design systems, constraint satisfaction, space planning algorithms, automated layout generation, drawing automation, code compliance checking, and computational workflows for AEC design automation

• digital-fabrication

  CNC milling, robotic fabrication, additive manufacturing, laser cutting, timber joinery, formwork design, assembly sequencing, and file preparation for digitally-fabricated AEC components

• environmental-simulation

  Daylight analysis, solar radiation, energy simulation, CFD wind analysis, thermal comfort, acoustic simulation, and the Ladybug Tools ecosystem for performance-driven AEC computational design

• facade-computation

  Panelization strategies, surface rationalization, attractor-based patterning, double-skin facades, kinetic and responsive facades, environmental performance facades, and fabrication-aware facade design for AEC

• generative-design

  Evolutionary algorithms, multi-objective optimization, design space exploration, fitness function design, population-based methods, and generative workflows for AEC computational design

• interoperability

  File format encyclopedia, data exchange strategies, API integration patterns, Grasshopper-to-Revit pipelines, Rhino.Inside workflows, Speckle data streams, and schema mapping for AEC computational design

• mesh-processing

  Mesh data structures, mesh operations, mesh analysis, mesh repair, UV mapping and unfolding, quad meshing, mesh-to-NURBS conversion, and mesh quality assessment for AEC computational design

• ml-for-aec

  Computer vision for buildings, image-to-floorplan, generative ML models, performance prediction, structural analysis ML, energy prediction, natural language to design, and point cloud ML for AEC computational design

• optimization-methods

  Genetic algorithms, simulated annealing, particle swarm optimization, gradient-based methods, topology optimization, shape optimization, size optimization, and benchmark problems for AEC computational design

• parametric-modeling

  Parametric design methodology, data structures, constraint systems, Grasshopper and Dynamo patterns, parameter space exploration, and associative geometry for AEC computational design

• scripting-reference

  Python for Rhino and Grasshopper (RhinoCommon, rhinoscriptsyntax, ghpythonlib), C# for Grasshopper components, Python for Revit (pyRevit, RevitPythonShell), JavaScript for web 3D (Three.js), and code patterns for AEC computational design

• structural-computation

  Finite element analysis fundamentals, form-finding methods, shell and gridshell structures, topology optimization, structural optimization, material-aware computation, and computational structural tools for AEC

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