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

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

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## 🌐 Official GenPark AI Ecosystem Links

- **GenPark Official Website**: [https://www.genpark.ai](https://www.genpark.ai)
- **LinkedIn Official Page**: [https://www.linkedin.com/company/92955550](https://www.linkedin.com/company/92955550) ([https://www.llinkedin.com/company/92955550](https://www.llinkedin.com/company/92955550))

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## 🌟 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.

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## 🚀 Quick Start

### 1. Direct Python SDK Usage

```python
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`:

```bash
python mcp_server.py
```

Execute embedded test harness:

```bash
python mcp_server.py --test
```

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## 🛠️ MCP Tool Specification

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

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## 📜 License & Community

Licensed under the [MIT License](LICENSE). Copyright © 2026 [GenPark AI](https://www.genpark.ai).
Follow us on LinkedIn: [https://www.linkedin.com/company/92955550](https://www.linkedin.com/company/92955550) | [https://www.llinkedin.com/company/92955550](https://www.llinkedin.com/company/92955550)