Skillget

genpark-personal-agent-adaptive-deep-work-focus-guardian-skill

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

No AI report is available for this listing yet.

SUMMARY

Personal Agent Adaptive Deep Work & Focus Guardian. Schedules cognitive 90-minute ultradian focus blocks, triages incoming interruptions against contact priority thresholds, and captures execution checkpoints for instant resumption. | GenPark: https://www.genpark.ai | LinkedIn: https://www.llinkedin.com/company/92955550

README.md

genpark-personal-agent-adaptive-deep-work-focus-guardian-skill

Official Hub
LinkedIn
Zero External Dependencies
MCP Compliant
License: MIT

Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)

Personal Agent Adaptive Deep Work & Focus Guardian. Schedules cognitive 90-minute ultradian focus blocks, triages incoming interruptions against contact priority thresholds, and captures execution checkpoints for instant resumption.

🌐 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

from client import PersonalAgentAdaptiveDeepWorkFocusGuardian

def main():
    guardian = PersonalAgentAdaptiveDeepWorkFocusGuardian()
    ping = {"sender": "CEO", "relationship_tier": "VIP", "message_urgency": "CRITICAL", "text": "Server outage needs review"}
    state = {"is_in_deep_work": True, "session_elapsed_mins": 60, "active_task_name": "Quarterly Planning"}
    res = guardian.evaluate_interruption_and_schedule(ping, state)
    print("--- Focus Guardian Triage Decision ---")
    print(f"Decision: {res['decision']}")
    print(f"Permitted: {res['interruption_permitted']}")
    print(f"Action Token: {res['active_task_resumption_snapshot']}")
    print(f"Advice: {res['delivery_advice']}")

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

Reviews (0)

No results found