genpark-cue-desktop-ambient-context-trigger-skill

📌 Overview & Capability

genpark-cue-desktop-ambient-context-trigger-skill is a deterministic, high-performance, zero-dependency Python tool and native Model Context Protocol (MCP) server engineered for next-generation personal AI agents (distilling breakthrough capabilities from Today AI, Manus, Cue, Meta, Muse, and Instinct).

Executive Capability: Ambient desktop context listener, screen text & clipboard change trigger, and non-intrusive proactive intent predictor (inspired by Cue).

⚡ Key Highlights

• 🐍 Zero External pip Dependencies: Implemented entirely with pure Python standard library for instant zero-overhead execution.
• 🔌 Native Model Context Protocol (MCP): Plugs directly into any MCP-compliant client via JSON-RPC 2.0 stdio.
• 🧠 Personal Agent Cognitive Architecture: Fast subconscious intent reflexes, ambient screen/clipboard cues, episodic life memory, and deep autonomous task resolution.
• 🛡️ Production-Hardened: Comprehensive error handling, boundary validation, and telemetry.

🏗️ Architecture

graph LR
    User([👤 User / Ambient Environment]) -->|Sensory Signals & Goals| Core[⚡ genpark-cue-desktop-ambient-context-trigger-skill Engine]
    Core --> Memory[(🧠 Episodic & Context Graph)]
    Core --> Executor[🤖 Autonomous Action Pipeline]
    Executor --> Result[📊 Proactive Action & Telemetry]
    Result --> User

🚀 Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Programmatic Integration

from client import CueDesktopAmbientTrigger

client = CueDesktopAmbientTrigger()
result = client.run_cue_benchmark()
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-cue-desktop-ambient-context-trigger-skill": {
      "command": "python",
      "args": ["/path/to/genpark-cue-desktop-ambient-context-trigger-skill/mcp_server.py"]
    }
  }
}

Direct MCP Testing

python mcp_server.py --test

📊 Technical Specifications