# genpark-personal-agent-dynamic-wardrobe-capsule-packer-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 Weather & Itinerary-Adaptive Capsule Wardrobe Packer. Synthesizes 7-day meteorological forecasts, destination dress codes (tech conference, gala, outdoor leisure), and airline carry-on limits to curate an interchangeable minimalist packing list.

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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.

---

## 🚀 Quick Start

### 1. Direct Python SDK Usage

```python
from client import PersonalAgentCapsuleWardrobePacker

def main():
    packer = PersonalAgentCapsuleWardrobePacker()
    wf = {"temp_min_c": 14.0, "temp_max_c": 22.0, "rain_probability_pct": 20.0}
    res = packer.curate_capsule_packing_list("San Francisco", 5, wf, ["AI Summit Keynote", "Running in Marina"])
    print("--- Capsule Wardrobe Travel Plan ---")
    print(f"Destination: {res['destination']} ({res['duration_days']} Days) | Temp: {res['temperature_range']}")
    print(f"Carry-on Compliant: {res['carry_on_compliant']} ({res['total_capsule_pieces']} pieces)")
    for it in res['capsule_manifest']:
        print(f"* [{it['category']}] {it['item']}")

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)