genpark-hubx-ai-apps-orchestration-skill

📌 Overview & Capability

genpark-hubx-ai-apps-orchestration-skill is a deterministic, zero-dependency Python skill and native Model Context Protocol (MCP) server engineered for autonomous personal and mobile agents. Distilled directly from HubX (hubx.co/products), it provides unified agentic orchestration and tool execution across HubX's global mobile AI portfolio:

• 🤖 Nova: All-in-One Multi-LLM Chatbot & AI Assistant (200M+ users).
• 🌱 PlantApp: Computer Vision Plant Identification & Botanical Disease Diagnostic.
• 🎨 DaVinci: Generative Text-to-Art, Image-to-Image & Creator Feed.
• 🖋️ TattooAI: AI Tattoo Design, AR Try-On & Cover-Up Synthesis.
• 📸 Momo: Photorealistic Portrait & Headshot Generator.
• 🏠 HomeAI: AI Interior, Exterior & Architectural Spatial Restyling.
• 🥗 Lean: Vision-Based Macro, Calorie & Nutrition Tracker.
• 📝 NoteAI: Meeting Audio Transcription, Summary & Action Item Extraction.
• 🗣️ BetterSpeak: Interactive Conversational AI Language Tutor with Live Avatars.
• 🧘 Lotus Flow: Mindful Movement, Yoga & Wellness Workflow Orchestrator.

Executive Capability: GenPark AI Agent Skill - HubX intelligent AI apps portfolio, multi-model chatbot orchestration, vision diagnostics & generative tools distilled from hubx.co/products.

🏗️ Architecture & Orchestration Flow

graph TD
    User([👤 User / Agent Client]) -->|Task Query / Media Stream| MCP[⚡ HubX Native MCP Gateway]
    MCP --> Router["🧭 HubX Portfolio Dispatcher"]
    Router -->|Text & Reasoning| Nova[🤖 Nova Multi-Model LLM]
    Router -->|Visual Inspection| Vision[🌱 PlantApp / 🥗 Lean / 🏠 HomeAI]
    Router -->|Generative Media| Gen[🎨 DaVinci / 📸 Momo / 🖋️ TattooAI]
    Router -->|Voice & Dialogue| Audio[📝 NoteAI / 🗣️ BetterSpeak]
    Nova & Vision & Gen & Audio --> Out[📊 Structured JSON Output & Telemetry]
    Out --> User

🚀 Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Programmatic Integration

from client import HubXAIAppsOrchestrator

client = HubXAIAppsOrchestrator()
result = client.run_benchmark_hubx_portfolio()
print(result)

🔌 Model Context Protocol (MCP) Setup

Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:

claude_desktop_config.json

{
  "mcpServers": {
    "genpark-hubx-ai-apps-orchestration-skill": {
      "command": "python",
      "args": ["/path/to/genpark-hubx-ai-apps-orchestration-skill/mcp_server.py"]
    }
  }
}

Direct MCP Testing

python mcp_server.py --test

📊 Technical Specifications