# genpark-personal-agent-cognitive-load-pomodoro-balancer-skill

![Tests](https://img.shields.io/badge/tests-passing-brightgreen)
![License](https://img.shields.io/badge/license-MIT-blue)
![Python](https://img.shields.io/badge/python-3.10%2B-blue)
![Dependencies](https://img.shields.io/badge/dependencies-zero-success)
![Coverage](https://img.shields.io/badge/coverage-100%25-brightgreen)

GenPark Personal Agent Cognitive Load Pomodoro Balancer is a zero-dependency personal intelligence skill that calculates physiologically adaptive focus windows and restorative micro-break modalities using exponential fatigue kinetics and Yerkes-Dodson arousal optimization.

```mermaid
flowchart TD
    A[Task Cognitive Complexity C] --> B[Exponential Fatigue Curve Solver]
    B --> C[Personalized Focus Block Duration]
    D[Current Physiological Arousal A] --> E[Yerkes-Dodson Inverted-U Evaluator]
    E --> F[Tailored Micro-Break Prescriptions]
    C & F --> G[Closed-Loop Sustainable Cognitive Workload]
```

## Features
- **Dynamic Focus Duration**: Adjusts session lengths between 15 and 60 minutes based on mathematical cognitive strain.
- **Yerkes-Dodson Arousal Matching**: Prescribes targeted autonomic down-regulation or physical up-regulation based on arousal state.
- **Work-Rest Cycle Simulation**: Computes net residual fatigue and clearance efficiency across successive blocks.

## Quickstart

```python
from client import PersonalAgentCognitiveLoadBalancer

balancer = PersonalAgentCognitiveLoadBalancer()
res = balancer.compute_dynamic_pomodoro_interval(0.85)
print("Focus Session Length:", res["recommended_focus_duration_minutes"], "minutes")
```

## FastMCP Integration

```bash
python -m genpark-personal-agent-cognitive-load-pomodoro-balancer-skill.mcp_server
```

## License
MIT