ai-six-sigma-property-os

# AI Six Sigma Property OS <skill_contract> <input>Named property-service workflow, actors, evidence, CTQs, approval boundaries, and MVP constraints.</input> <output>A bounded ontology, DMAIC control plan, agent roles, gates, metrics, and rollback-ready MVP design.</output> <done>Every proposed state transition and CTQ has an owner, evidence source, verifier, approval gate, and control receipt.</done> <non_goals>Full ERP replacement, autonomous safety or pricing decisions, and automation of undefined processes.</non_goals> Ontology defines the operating world; bounded agents execute and audit; DMAIC improves rules from work-order evidence. Design the management system before software scope. Load `references/property-control-model.md` for the baseline ontology, CTQs, and state machine. ## Usage Template Provide: business type, stage, first workflow, current process/data, service standards, approval boundaries, failure history, and MVP budget. Optional: table schemas and sample work orders. ## Workflow <intake> Verify the operating objective and select one first workflow: classification, dispatch recommendation, quote draft, evidence audit, or quality dashboard. Map actors, current states, systems of record, customer/safety impact, and data maturity. </intake> <unknowns_gate> If service standard, accountable owner, safety boundary, or system of record is missing, return `NEEDS_INPUT`. Treat absent baseline data as a Measure-phase task; never invent CTQ thresho...