Interface for the Caroline AI companion — Wade's personal voice-first AI. Use for: sending messages to Caroline, syncing the Wade Global State (WGS) with Caroline's memory, managing her ElevenLabs voice, checking RunPod server status, and evolving her personality through conversation history injection.
Building modular, state-driven integrations for external platforms (RunPod, OpenHands, Aider) following the Centauri Interlock Standard. Use for: connecting external GPUs, autonomous coding agents, and AI pair programming tools to the Centauri OS ecosystem.
Mandatory architectural standard for Centauri OS. Use for: retrofitting old scripts into modular Nodes, building new state-driven tools, and ensuring all code integrates with the Command_Router and caroline_neuro_memory.json.
Centauri OS — Wade's custom Android-based operating system with Caroline AI as its core agent. Use for: designing or developing Centauri OS features, defining voice command interfaces, integrating Caroline into Android system services, building the AI-Enhanced CodeAssist app, and planning the Centauri OS architecture.
Master construction business intelligence skill for Wade Custom Carpentry. Use for: generating project dashboards, business analytics, profitability analysis, orchestrating the wade-custom-carpentry and rsmeans-cost-estimator skills, client management, scheduling, and running the full ConstructAI business management system.
Best practices for using the gws CLI with supported Google Workspace services (Drive, Docs, Sheets, Slides). Use when performing any operation with the gws CLI.
Honcho-powered persistent memory and reasoning layer for Caroline AI. Use for: ingesting conversation messages into Honcho, querying Honcho's synthesised model of Wade, syncing Honcho's reasoning into caroline_neuro_memory.json, and verifying Honcho connection health. This Node follows the Centauri Interlock Standard.
NeuroRank™ emotionally intelligent AI cognitive system (Mini Me Technologies LLC). Use for: applying the NeuroRank decision-making framework to AI responses, modeling cognitive regions (logic, emotion, memory), evaluating AI response quality, and implementing the patent-pending cognitive architecture in any agent workflow.