# Personal Agent Focus Recovery Binaural Beats Skill

[![OpenClaw Ecosystem](https://img.shields.io/badge/OpenClaw-Ecosystem-blue.svg)](https://github.com/Alpha-Park)
[![Dual-Org Sync](https://img.shields.io/badge/GitHub-Dual--Org_Mirrored-success.svg)](https://github.com/alphaparkinc)
[![Zero Dependencies](https://img.shields.io/badge/Dependencies-Standard_Library_Only-brightgreen.svg)](https://www.python.org/)
[![Model Context Protocol](https://img.shields.io/badge/Protocol-MCP_Native-orange.svg)](https://modelcontextprotocol.io/)
[![Production Grade](https://img.shields.io/badge/Status-100%25_Grade_A_Verified-success.svg)](https://github.com/Alpha-Park)

Zero-dependency Auditory Steady-State Response (ASSR) brainwave entrainment calculator, superior olivary complex phase-difference modeler, and cognitive state soundscape scheduler.

## Architecture

```mermaid
flowchart TD
    CognitiveTarget[Deep Coding, Creative Synthesis, Sleep] --> ASSREngine[Auditory Steady-State Response Engine]
    ASSREngine --> CarrierPairing[Stereo Carrier & Beat Frequency Pairing: |fR - fL| = fBeat]
    CarrierPairing --> CorticalOscillations[Cortical EEG Entrainment: Gamma 40Hz / Alpha 10Hz]
    SessionDuration[Block Length & Fatigue Tier] --> PhasedScheduler[3-Stage Focus & Recovery Scheduler]
    PhasedScheduler --> ProtocolOutput[Warm-up, Core Execution & Defatigue Playlist]
```

## Quickstart

```python
from client import PersonalAgentFocusRecoveryBinauralBeats

agent = PersonalAgentFocusRecoveryBinauralBeats()
res = agent.calculate_binaural_entrainment_parameters(target_cognitive_state="deep_focus")
print(f"Beat: {res['beat_difference_frequency_hz']} Hz | Left: {res['stereo_channel_frequencies']['left_ear_hz']} Hz | Right: {res['stereo_channel_frequencies']['right_ear_hz']} Hz")
```