Persist system context diagrams with stakeholders and data flows in Neo4j.
npx skills add https://github.com/ITSalt/NaCl --skill nacl-ba-context
Please help me install this Agent Skill. Skill: nacl-ba-context Source: https://github.com/ITSalt/NaCl/tree/main/nacl-ba-context Command: npx skills add https://github.com/ITSalt/NaCl --skill nacl-ba-context
Define system boundaries and automation scope directly in a Neo4j graph to ensure clear context, stakeholders, external entities, and data flows are modeled with traceability across BA activities.
Begin Phase 1 by answering the system scope questions to create the SystemContext in Neo4j.
High-intent search queries and answers about installing and using this skill.
To define system boundaries in a Neo4j graph, use an interactive four-phase workflow to capture scope, stakeholders, external entities, and data flows. This creates dedicated graph nodes that ensure clear context and traceability across business analysis activities.
A graph-backed system context diagram models scope, stakeholders, external entities, and data flows as interconnected nodes in Neo4j. It uses MERGE semantics for idempotent updates, ensuring consistent traceability and enabling the generation of artifacts and diagrams for stakeholder alignment.
Yes, modeling system context and data flows requires a Neo4j graph backend and graph-query utilities. The system updates SystemContext, Stakeholder, ExternalEntity, and DataFlow nodes and relationships directly within the graph database.
Begin creating a system context diagram by starting Phase 1 and answering system scope questions. This initial input creates the SystemContext node in Neo4j, which sets the foundation for subsequent phases capturing stakeholders, external entities, and data flows.
The best way to persist stakeholder and external entity data is using dedicated node types with MERGE semantics for idempotent updates. This approach ensures repeated modeling operations do not create duplicate nodes, maintaining clean graph data.
Yes, you can generate artifacts and diagrams directly from the system context data stored in Neo4j. These generated visualizations support system-context governance and facilitate stakeholder alignment by representing the persisted graph relationships.
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