Design BIM ontology schemas and governance rules for consistent data modeling.
npx skills add https://github.com/tygwan/AgenticREVIT --skill ontology-design
Please help me install this Agent Skill. Skill: ontology-design Source: https://github.com/tygwan/AgenticREVIT/tree/main/.claude/skills/ontology-design Command: npx skills add https://github.com/tygwan/AgenticREVIT --skill ontology-design
BIM projects often struggle with inconsistent data models and unclear relationships across physical, semantic, process, and document layers. This skill provides a principled approach to designing and governing BIM ontologies and schema rules.
Start by drafting the Element node schema and a few core relationships in the ontology, then run a validation pass to verify constraints.
High-intent search queries and answers about installing and using this skill.
Design a BIM ontology schema by defining Physical, Semantic, Process, and Document layers with clear node types and relationships. Establish naming conventions, constraints, and validation rules to ensure data integrity across your project's Element, Category, Type, and relationship definitions.
BIM ontology layering separates concerns into Physical (structural elements), Semantic (meaning and properties), Process (workflows and tasks), and Document (specifications and records) layers. Each layer defines its node types and relationships, enabling standardized data modeling and graph queries across all project dimensions.
Validate BIM schema governance by running a validation pass against your ontology to verify constraints on Element, Category, Type, Relationships, and validation rules. This ensures graph consistency and catches data modeling errors before they propagate across your project.
Yes. Specify Element nodes with Category and Type classifications, then define relationships to related Tasks and Costs within your ontology schema. Validation confirms that all relationships satisfy your governance constraints and maintain data consistency.
Use ontology schema governance when BIM projects need consistent relationships across multiple layers—physical structure, semantics, processes, and documents. Layered ontologies prevent data inconsistency and enable graph queries that flat models cannot support.
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