gnn-parsing

To parse GNN Markdown files, this Skill discovers your repository files and extracts structured model data, including StateSpaceBlock definitions, variables, parameters, and Connections. It then serializes this extracted data into multiple formats like JSON, YAML, and XML for downstream tooling.

Yes, you can validate GNN syntax and convert models simultaneously. The parsing workflow integrates lightweight discovery, validation, and cross-format serialization, ensuring consistent semantics across JSON, YAML, XML, and other representations during extraction.

The best way to extract ontology annotations from Generalized Notation Notation files is applying an automated parsing workflow. This Skill identifies GNN Markdown specifications, parses variables and ontology annotations, and serializes them into structured multi-format outputs.

No external dependencies are required to serialize XML and YAML outputs. The Skill operates independently with an empty dependency list, running lightweight discovery, validation, and cross-format serialization directly within the internal GNN parsing workflow.

You can convert a GNN model repository to YAML by running the Skill's parsing workflow on your directory. It discovers Markdown GNN specifications, extracts state-space blocks and parameterizations, and serializes the structured representation into YAML or JSON for type checking and documentation.

Cross-format serialization for active-inference GNN specifications is limited to extracting variables, parameters, and ontology annotations defined in Markdown files. It applies lightweight validation to ensure consistent semantics across JSON, YAML, and XML representations.