Resolve OML ontology questions via discovery-driven retrieval and shape-validated updates.
npx skills add https://github.com/dwagmuse/dw-oml-3 --skill oml-mcp
Please help me install this Agent Skill. Skill: oml-mcp Source: https://github.com/dwagmuse/dw-oml-3/tree/main/.claude/skills/oml-mcp Command: npx skills add https://github.com/dwagmuse/dw-oml-3 --skill oml-mcp
It helps you work with OML ontologies and models without guessing IRIs or predicates, so you can reliably retrieve facts or make validated updates.
oml_shapes to ensure you assert only the exact predicates and required fields supported by the target class.oml_update plans and running oml_validate to catch lint and correctness issues before finalizing.Ask an OML question such as “What members define the concept of X in this workspace?” and rely on the skill to search, explain relevant definitions, and run precise SPARQL only if needed.
High-intent search queries and answers about installing and using this skill.
To query an OML ontology without hardcoding IRIs, use a discovery-driven retrieval workflow that searches the workspace, explores ontology members and paths, and generates SPARQL-ready queries based on the actual model structure.
The safest way to update OML instances is to use shape-guided validation, which derives exact sh:targetClass and sh:path IRIs from oml_shapes before asserting predicates, followed by running oml_validate to catch correctness issues.
Shape-guided validation works by retrieving OML shapes to ensure you assert only the exact predicates and required fields supported by the target class, preventing invalid modifications before they are finalized in the workspace.
Yes, you can preview oml_update plans to review pending changes and run oml_validate to catch lint and correctness issues before finalizing any modifications to the OML model.
Your SPARQL queries may return incorrect results if you guess IRIs or predicates instead of using ontology-aware discovery first; running search, about, and members/paths before querying ensures precise SPARQL execution.
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