菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
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.
| name | centauri-connectors |
| description | 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. |
The Centauri Connectors skill is the architectural standard for building and maintaining integrations between the Centauri OS and external platforms like RunPod, OpenHands, and Aider. Every connector must be built as a modular "Node" that adheres to the Centauri Interlock Standard.
All external integrations must follow these three core architectural mandates:
Command_Router.caroline_neuro_memory.json to verify the current system state, context, and NeuroRank priority level.Command_Router.When building a new connector for a platform like RunPod, OpenHands, or Aider:
NeuroRank from caroline_neuro_memory.json. Ensure the external task aligns with system priorities.Command_Router for state synchronization.Refer to the following bundled resources for implementation details:
templates/runpod_connector.py for a standardized Python implementation of pod management.references/external_integrations.md for architectural patterns and payload schemas for autonomous coding integrations.RUNPOD_API_KEY) must be managed via environment variables and never hardcoded in the connector scripts.caroline_neuro_memory.json to maintain synchronization with the Centauri OS core.