Embedding Firm-Specific Solvers into a Design Pipeline: Grasshopper + ShapeDiver + Skema to Revit
Автор: Skema Inc.
Загружено: 2026-02-19
Просмотров: 138
Описание:
In this end-to-end workflow example, Grasshopper, ShapeDiver, and Skema combine to embed firm-specific solvers into a cloud-based design pipeline — and then flow results into Revit with full fidelity.
You’ll see how to generate custom unitized facades, integrate ShapeDiver + Skema for reusable parametric logic, and translate those outputs into coordinated, data-rich BIM models in Revit that preserve design intelligence and reduce delivery risk.
In this session, originally delivered as a workshop at AECTech 2025, you’ll learn how to:
▸ Capture firm-specific rules in Grasshopper and publish them through ShapeDiver
▸ Integrate Skema with ShapeDiver to automate facade and layout generation
▸ Generate custom unitized facades across projects using reusable presets=
▸ Use Skema as the mediator to manage geometry and metadata across platforms
▸ Export to Revit via Rhino.Inside for high-fidelity BIM deliverables
▸ Sync Skema’s data-rich analytical models into Revit while preserving structure, materials, and intent
The result: a connected workflow where parametric intelligence is not lost in translation — from early concept through coordinated BIM delivery.
Chapters
00:00 Overview of the End-to-End Workflow
1:50 Starting with a Pre-Designed Skema Project
2:35 Smart Units & Metadata in Skema
4:11 Generating the Analytical Model
4:41 Exporting to Revit with the Skema Plug-in
5:59 Accessing the Model in Rhino & Grasshopper
8:31 Understanding the Analytical Data Structure
11:00 Live Model Updates & Recalculation
12:48 Building the Parametric Facade Definition
15:08 Using Selection JSON for User Interaction
17:02 Facade Panel Logic & Optimization
22:14 Publishing the Facade as a ShapeDiver Web App
24:47 Connecting Skema and ShapeDiver
27:17 Interactive Facade Customization
28:49 Exporting to Revit via Rhino.Inside
Learn more: https://www.skema.ai/
Follow us: / skema-ai
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