Coordinate autonomous data-to-visual workflows across DuckDB, SurrealDB, Blender, and UE5.
npx skills add https://github.com/bjoernbethge/mcp-b --skill smart-workflows
Please help me install this Agent Skill. Skill: smart-workflows Source: https://github.com/bjoernbethge/mcp-b/tree/main/docs Command: npx skills add https://github.com/bjoernbethge/mcp-b --skill smart-workflows
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.
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.
High-intent search queries and answers about installing and using this skill.
This Skill bridges DuckDB SQL workflows directly to Blender 5.0 and Unreal Engine 5 for headless 3D processing and scene control. It eliminates manual integration by coordinating data-to-visual pipelines through unified AI orchestration, enabling SQL-native analytics to drive live visual updates without custom HTTP libraries or manual synchronization.
Yes. The Skill implements the Execute, Store, Evaluate, Curate (ACE) loop directly in SQL using DuckLake, allowing workflows to log, analyze, and adapt their behavior automatically. Each execution improves future iterations without manual retraining, reducing oversight and enabling continuous optimization.
This Skill uses MCP-B agent-to-agent communication, AMUM human-AI alignment, QCI coherence states, and ETHIC principles enforcement within a unified framework. It coordinates agents across DuckDB and SurrealDB graph databases while syncing actions to Blender and Unreal Engine, eliminating fragmented integrations.
Yes. The Skill uses SurrealDB's graph database to map agent relationships, live queries, and network topology alongside DuckDB for SQL-native analytics. Together they enable complex workflows where agents interact based on dynamic graph relationships and data insights.
The Skill integrates ETHIC principles enforcement and AMUM progressive alignment into its orchestration layer, ensuring AI agents respect defined ethical constraints and maintain human-AI intent coherence throughout execution, addressing governance requirements in autonomous data-to-visual pipelines.
The Skill requires Blender 5.0 for bpy-based rendering and operates headless without Python HTTP libraries, relying on direct SQL coordination. Scaling depends on DuckDB query performance and available compute; complex geometry processing may require distributed DuckDB clusters or partitioned scene workflows.
Chris-Chai-MinjaeControl a running Blender instance remotely via TCP socket with JSON.
zero-rehqAnalyze Task and Phase Briefs to generate insights and improvement recommendations.
ActiveInferenceInstituteAutomate SurrealDB 2.3.x operations including CRUD, graph traversal, vector search, and real-time queries from Python.
chronista-clubProvide SurrealDB usage guidance for schemas, SurrealQL, SDKs, and MCP integration.
