Skillget

genpark-personal-agent-biometric-circadian-energy-scheduler-skill

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: NOASSERTION
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 7 GitHub stars
Code Gecti
  • Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested

Bu listing icin henuz AI raporu yok.

SUMMARY

Proactive Personal Agent Biometric & Circadian Energy Scheduler. Models the Borbely Two-Process sleep/alertness dynamics (homeostatic sleep pressure Process S + circadian rhythm Process C) from wearable telemetry (HRV, sleep duration, wake | GenPark: https://www.genpark.ai | LinkedIn: https://www.llinkedin.com/company/92955550

README.md

genpark-personal-agent-biometric-circadian-energy-scheduler-skill

GenPark AI
LinkedIn
License: MIT
Dependencies
MCP Compliant

Proactive Personal Agent Biometric & Circadian Energy Scheduler. Models the Borbely Two-Process sleep/alertness dynamics (homeostatic sleep pressure Process S + circadian rhythm Process C) from wearable telemetry (HRV, sleep duration, wake hour), aligns high-cognitive deep work to peak alertness windows, and inserts ultradian recovery breaks.

🌐 Official GenPark AI Ecosystem Links

🌟 Key Features

  • 100% Zero External Dependencies: Runs entirely on the Python 3.9+ standard library.
  • Model Context Protocol (MCP) Standard: Native support for JSON-RPC 2.0 initialize, tools/list, and tools/call.
  • Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
  • Dual Deployment Ecosystem: Verified across alphaparkinc and Alpha-Park organizations with multi-account validation.

🚀 Quick Start

1. Direct Python SDK Usage

"""Example usage for PersonalAgentBiometricCircadianEnergyScheduler."""
import sys
import json
from client import PersonalAgentBiometricCircadianEnergyScheduler

sys.stdout.reconfigure(encoding='utf-8')

def main():
    print("=== Today AI / Cue Biometric & Circadian Energy Task Scheduler Demo ===")
    scheduler = PersonalAgentBiometricCircadianEnergyScheduler()

    backlog = [
        {"title": "Expense Report Receipt Filing", "cognitive_load": "LOW"},
        {"title": "Core Algorithm System Design & Mathematical Proof", "cognitive_load": "HIGH"},
        {"title": "Code Review for Q4 Release", "cognitive_load": "HIGH"},
        {"title": "1-on-1 Product Sync Call", "cognitive_load": "MEDIUM"}
    ]

    print("\n--- 1. Aligning Tasks with Wearable Biometric Readiness (Sleep: 7.8h, HRV: 68ms) ---")
    plan = scheduler.schedule_tasks_by_energy(backlog, wake_hour=7, sleep_hours_last_night=7.8, hrv_ms=68.0)
    print(f"Biometric Readiness Score: {plan['biometric_readiness']}/100")

    print("\n--- 2. Circadian-Aligned Daily Agenda ---")
    for item in plan["optimized_schedule"]:
        brk = " [+20m Ultradian Recovery Break]" if item["ultradian_break_recommended"] else ""
        print(f"  [{item['assigned_time']}] ({item['circadian_zone']} | Energy: {item['slot_energy_score']}) -> {item['task_title']} [{item['cognitive_load']}]{brk}")

if __name__ == "__main__":
    main()

2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over stdio:

python mcp_server.py

Execute embedded test harness:

python mcp_server.py --test

🛠️ MCP Tool Specification

Inspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.

📜 License & Community

Licensed under the MIT License. Copyright © 2026 GenPark AI.
Follow us on LinkedIn: https://www.linkedin.com/company/92955550 | https://www.llinkedin.com/company/92955550

Yorumlar (0)

Sonuc bulunamadi