okhp3-decision-model-authoring

To convert business rules into a DMN decision model, this Skill extracts decision points from a process narrative structure and outputs a machine-readable YAML file alongside a human-readable DMN table. It validates completeness and traceability for complex logic.

Automating decision modeling for complex business logic involves transforming process narrative decision points into structured DMN-aligned models. This approach requires a YAML input file containing at least three decision points to generate validated decision model outputs.

Yes, you need a process narrative structured as a pns.yaml file to generate a DMN table. The Skill depends on this process narrative input to extract rules and convert them into structured decision models and DMN-aligned tables.

You need DMN-aligned decision models when your business process contains complex logic with three or more decision points. This ensures your business rules are properly documented, reviewed, and maintained as part of a BPMN diagram.

Yes, you can extract business rules from a pns.yaml file into a DMN table. The Skill parses the YAML process narrative, extracts the decision points, and converts them into a structured DMN table alongside a YAML decision model.

The limitation of automating decision model authoring here is that it requires a pre-existing process narrative YAML file and is specifically designed for complex logic containing three or more decision points to function correctly.