genpark-personal-agent-biometric-circadian-energy-scheduler-skill
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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
genpark-personal-agent-biometric-circadian-energy-scheduler-skill
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
- GenPark Official Website: https://www.genpark.ai
- LinkedIn Official Page: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)
🌟 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, andtools/call. - Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
- Dual Deployment Ecosystem: Verified across
alphaparkincandAlpha-Parkorganizations 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
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