smart-workflows

What problem does it solve?

This Skill tackles the complexity of orchestrating diverse AI agents, aligning human intent, enforcing ethics, and integrating data from SQL and graph databases with real-time 3D visualization tools like Blender and Unreal Engine. It provides a unified framework to build self-improving, data-to-visual workflows, eliminating manual integration headaches.

Core Features & Use Cases

• Unified AI Orchestration: Seamlessly manage agent communication (MCP-B), human-AI alignment (AMUM), quantum coherence states (QCI), and ethical principles enforcement (ETHIC) within a single system.
• Dual Database Architecture: Leverage DuckDB for SQL-native analytics, vector search, and time-traveling workflows, complemented by SurrealDB for graph relationships, agent networks, and live queries.
• Visual-Data Bridge: Connect AI-driven insights to immersive visual experiences using Blender 5.0 for 3D geometry processing and Unreal Engine 5 Remote Control for dynamic scene manipulation, all driven by SQL.
• Self-Improving ACE Loop: Implement the Execute, Store, Evaluate, Curate (ACE) loop directly in SQL with DuckLake, enabling workflows to learn, adapt, and optimize over time, reducing manual oversight.

Quick Start

Set up a new workflow named 'design_review' that adjusts the 'TimeOfDay' property in Unreal Engine 5 to '18.0' and then processes a Blender scene, ensuring all steps are logged for future self-improvement.