Decompose business processes into canonical workflows with Neo4j graphs and Mermaid diagrams.
npx skills add https://github.com/ITSalt/NaCl --skill nacl-ba-workflow
Please help me install this Agent Skill. Skill: nacl-ba-workflow Source: https://github.com/ITSalt/NaCl/tree/main/nacl-ba-workflow Command: npx skills add https://github.com/ITSalt/NaCl --skill nacl-ba-workflow
This skill helps analysts transform raw business-process ideas into a structured, graph-backed workflow with clear steps, stakeholders, artifacts, and decision points, and it generates Mermaid diagrams for visualization.
Invoke /nacl-ba-workflow BP-001 to start interactive workflow decomposition for an existing BusinessProcess with has_decomposition: true.
High-intent search queries and answers about installing and using this skill.
To generate a Mermaid workflow diagram from a Neo4j graph, invoke the skill on a BusinessProcess node marked with has_decomposition: true. It decomposes the process into structured steps, stakeholders, and artifacts, persisting the canonical graph representation and outputting the visual diagram.
The maximum number of steps allowed when decomposing a business workflow is 12. The decomposition enforces constraints including a maximum of 12 steps, a single performer per step, and proper READS or PRODUCES relationships for artifacts to ensure valid graph persistence.
Yes, you can model decisions and exceptions in a 3-swimlane activity diagram using Neo4j. The workflow decomposition supports building these diagrams by binding steps to performers and artifacts, mapping decisions and exceptions directly from the graph data.
No, Neo4j workflow decomposition does not support multiple performers for a single step. It strictly enforces a single performer per step constraint alongside proper READS and PRODUCES relationships to maintain clear accountability within the business process graph.
Writing workflow decomposition data back to Neo4j via MCP ensures persistence and traceable lineage for the business process. It transforms raw ideas into a canonical graph representation, maintaining structured relationships for steps, artifacts, and performers beyond just visual stakeholder alignment.
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