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ai-six-sigma-property-os

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Use when property-service operations need an AI plus ontology plus DMAIC design for work orders, dispatch, quotes, evidence, CTQ metrics, and control dashboards.

skills/ai-six-sigma-property-os/SKILL.md

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# 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.
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