genpark-today-ai-proactive-daily-agenda-synthesizer-skill
by Alpha-Park
README.md
# genpark-today-ai-proactive-daily-agenda-synthesizer-skill
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[](https://www.python.org/)
[](LICENSE)
[](https://genpark.ai/mcp)
[](https://genpark.ai)
[-brightgreen.svg?style=for-the-badge)](requirements.txt)
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<b>Production-Grade Personal AI Agent Infrastructure Skill</b> • <b>100% Standard Library Python</b> • <b>Native Model Context Protocol (MCP)</b>
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[🌐 GenPark MCP Hub](https://genpark.ai/mcp) • [📦 GenPark Official](https://genpark.ai) • [📖 Documentation](#quickstart)
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---
## 📌 Overview & Capability
**genpark-today-ai-proactive-daily-agenda-synthesizer-skill** is a deterministic, high-performance, zero-dependency Python tool and native Model Context Protocol (MCP) server engineered for next-generation personal AI agents (distilling breakthrough capabilities from **Today AI, Manus, Cue, Meta, Muse, and Instinct**).
> **Executive Capability**: Proactive daily agenda and cognitive briefing synthesizer for personal agents (inspired by Today.ai), orchestrating circadian energy focus blocks, asynchronous task triage, and meeting prep.
### ⚡ Key Highlights
* 🐍 **Zero External `pip` Dependencies**: Implemented entirely with pure Python standard library for instant zero-overhead execution.
* 🔌 **Native Model Context Protocol (MCP)**: Plugs directly into any MCP-compliant client via JSON-RPC 2.0 stdio.
* 🧠 **Personal Agent Cognitive Architecture**: Fast subconscious intent reflexes, ambient screen/clipboard cues, episodic life memory, and deep autonomous task resolution.
* 🛡️ **Production-Hardened**: Comprehensive error handling, boundary validation, and telemetry.
---
## 🏗️ Architecture
```mermaid
graph LR
User([👤 User / Ambient Environment]) -->|Sensory Signals & Goals| Core[⚡ genpark-today-ai-proactive-daily-agenda-synthesizer-skill Engine]
Core --> Memory[(🧠 Episodic & Context Graph)]
Core --> Executor[🤖 Autonomous Action Pipeline]
Executor --> Result[📊 Proactive Action & Telemetry]
Result --> User
```
---
## 🚀 Quickstart & Usage
### 1. Direct Python Client Execution
```bash
python example_usage.py
```
### 2. Programmatic Integration
```python
from client import TodayAIProactiveAgendaSynthesizer
client = TodayAIProactiveAgendaSynthesizer()
result = client.run_today_ai_benchmark()
print(result)
```
---
## 🔌 Model Context Protocol (MCP) Setup
Connect this skill to **Claude Desktop**, **Cursor**, or any MCP-compliant client:
### `claude_desktop_config.json`
```json
{
"mcpServers": {
"genpark-today-ai-proactive-daily-agenda-synthesizer-skill": {
"command": "python",
"args": ["/path/to/genpark-today-ai-proactive-daily-agenda-synthesizer-skill/mcp_server.py"]
}
}
}
```
### Direct MCP Testing
```bash
python mcp_server.py --test
```
---
## 📊 Technical Specifications
| Parameter | Type | Required | Description |
|---|---|:---:|---|
| `payload` | `string` / `dict` | Yes | Sensory inputs, task goals, or ambient telemetry |
| `options` | `dict` | No | Cognitive depth, energy profiles, or execution timeouts |
---
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<sub>Maintained with ❤️ by <b><a href="https://genpark.ai">GenPark AI Engineering</a></b> • Powering Next-Gen Personal Autonomous AI Agents 🌍</sub>
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