Lets personal and work agents reason about local time, business hours,
and travel without a tool round-trip to the time MCP server.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Add Quentin as work-team lead agent for solution architecture & demos,
with aws_sa repositioned as Quentin's exclusive subagent (tool, not peer)
- Add CASE as engineering lead agent for field/physical layer (LAN, hardware)
- Bump unified Neo4j schema to v2.4.0:
- Add Solution and Demo node types under Quentin's domain
- Update assistant ownership table with Quentin, CASE, and AWS SA scoping
- Update README and neo4j shared docs to reflect new team rosters and
subagent boundaries
- Expand system prompt from 49 to 380 lines for comprehensive guidance
- Add User context, Identity, and Communication Style sections
- Define Client advisory and Internal consulting roles explicitly
- Include signature questions and tone guidelines for consistent interaction
- Note modular composition: regenerate from canonical source files
- Introduced `neo4j-schema-init.py` for creating the foundational schema for the personal knowledge graph used by multiple AI assistants.
- Implemented functionality for creating constraints, indexes, and sample nodes, along with comprehensive testing of the schema.
- Added `neo4j-validate.py` to perform validation checks on the Neo4j knowledge graph, including constraints, indexes, sample nodes, relationships, and junk data detection.
- Enhanced logging for better traceability and debugging during schema initialization and validation processes.
