onboarding-wizard

Structured intake data collection guides interviews using a 7-pillar framework to prevent information leakage. It systematically captures safety-critical client narratives and handles staged data entry for social care onboarding assessments.

Store structured interview records in Neo4j by extracting data from intake narratives and applying Cypher templates via the Neo4j MCP workflow. This process enables bulk registration of client narratives into the graph database.

Yes, audit logging is supported for staged data capture during social care onboarding. The skill manages staged information collection and maintains audit logs to create a foundation for subsequent interviews and continuous support.

Automate new client registration from interview memos by using bulk extraction to pull structured information from narratives. This supports automated data entry and structured record storage directly into Neo4j.

Yes, the Neo4j MCP workflow supports bulk data extraction from interview narratives via Cypher templates. This allows structured registration of diverse client narratives collected during initial intake and early assessments.

Structured data collection for care planning assessments is needed during initial intake and onboarding. It handles diverse client narratives and safety-critical information, meeting requirements for staged data capture and audit logging.