Convert conceptual domain models into canonical SDD artifacts for paridade-guard validation.
npx skills add https://github.com/Adgmed2018/visa --skill visa-redator
Please help me install this Agent Skill. Skill: visa-redator Source: https://github.com/Adgmed2018/visa/tree/main/agents/visa-redator Command: npx skills add https://github.com/Adgmed2018/visa --skill visa-redator
Transforms the conceptual domain model from Modelador into executable, canonically structured SDD artifacts (e.g., BR-FUTURE and BR-DESCARTAR) that paridade-guard can validate and enforce.
Feed the conceptual model outputs to the redactor and obtain canonical artifacts (business_model.md, discard_log.md, ambiguity_log.md) ready for paridade-guard validation.
High-intent search queries and answers about installing and using this skill.
To convert a domain model into executable SDD specifications, you feed conceptual domain model outputs into a redactor to generate canonical business_model.md artifacts with stable BR-FUTURE IDs and BR-DESCARTAR entries for automated validation.
Generating business rules from domain concepts for automated validation involves transforming conceptual models into canonical SDD artifacts, producing BR-FUTURE and BR-DESCARTAR IDs that map evidence to rules for paridade-guard verification.
To document ambiguities and discarded decisions when creating executable specs, you generate discard_log.md and ambiguity_log.md files alongside the business model to track uncertainties and document decision rationale.
Yes, generating canonical SDD artifacts requires a conceptual domain model as input. The redactor processes these conceptual model outputs to produce Reversa-compatible business rules and alignment artifacts for paridade-guard enforcement.
Yes, you can use the generated SDD artifacts for paridade-guard contract verification. The redactor outputs canonical _visa_sdd artifacts that enforce contracts and map evidence directly to business rules for validation.
A limitation of generating SDD artifacts from a domain model is that the output depends entirely on the quality of the conceptual input. The redactor does not resolve domain uncertainties but logs them in ambiguity_log.md for review.
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