Enforce canonical SysML v2 syntax, naming, and doc-comment conventions.
npx skills add https://github.com/1cFE/agentic-mbse --skill sysml-conventions
Please help me install this Agent Skill. Skill: sysml-conventions Source: https://github.com/1cFE/agentic-mbse/tree/main/claude/skills/sysml-conventions Command: npx skills add https://github.com/1cFE/agentic-mbse --skill sysml-conventions
Canonical syntax rules, naming conventions, and patterns for writing correct SysML v2 models, ensuring consistency across definitions and usages.
Apply these conventions when authoring or reviewing SysML v2 models.
High-intent search queries and answers about installing and using this skill.
SysML v2 naming conventions differentiate definitions in library models from usages in design models, ensuring correct forms and placement to avoid ambiguity across cross-file bindings.
Doc comments in SysML v2 modeling files must follow enforced structural formats that ensure consistency and readability across part definitions, calc definitions, and constraints.
The ADR-002 calculation architecture in SysML v2 provides explicit guidance for structuring calculation definitions and constraints to ensure reliable model composition and validation.
Cross-file imports and bindings in SysML v2 require explicit packaging guidelines and binding patterns to correctly reference part definitions and constraints across design-model and library-model contexts.
Common SysML v2 anti-patterns include incorrect usage placement, ambiguous naming, and improper cross-file binding structures, which are addressed through explicit pattern references and convention enforcement.
Yes, SysML v2 convention guidance applies across both design-model and library-model workflows, providing canonical syntax rules for creating and validating part definitions, calc definitions, and constraints.
DeciSymCreate and validate SysML v2 models with OMG standard syntax.
corca-aiAutomate plugin consistency checks, local testing, and deployment preparation.
smp4Answer SysML v2 questions using official specifications and curated example models.
WellApp-aiGenerate BPMN 2.0 diagrams from feature specifications and link them to Gherkin scenarios.
