Sleep Health Assistant Skill

Overview

The Sleep Health Assistant Skill is an OpenClaw plugin that provides scientific sleep analysis, stress assessment, and evidence-based wellness guidance. This skill focuses on modern, research-backed techniques for sleep improvement and stress management.

Features

1. Stress Analysis System

• Stress assessment: Analysis based on user-provided physiological data
• Personalized recommendations: Customized suggestions based on stress patterns
• Privacy-focused: 100% local processing, no data storage

2. Sleep Analysis System

• Sleep quality assessment: Analysis of sleep duration and quality
• Evidence-based suggestions: Research-backed recommendations
• Sleep hygiene guidance: Practical tips for better sleep

3. Audio Guidance System

• Relaxation guidance: Audio instructions for stress reduction
• Sleep preparation: Guidance for better sleep readiness
• Focus enhancement: Audio techniques for improved concentration

4. Breathing Guidance System

• Calm breathing: Techniques for stress reduction
• Sleep breathing: Patterns for sleep preparation
• Energy breathing: Methods for increased alertness

5. Mindfulness Guidance System

• Awareness practice: Present moment focus techniques
• Relaxation practice: Progressive relaxation methods
• Compassion practice: Positive emotion cultivation

6. Health Monitoring System

• User-data monitoring: Analysis based on provided information
• In-memory processing: No disk storage, no data persistence
• Privacy assurance: 100% local, no external transmission

Security Declaration

Core Security Principles

1. 100% local operation: No network access, all processing done locally
2. No dangerous functions: No use of subprocess, eval, exec, __import__
3. Memory-only storage: Session data stored in memory only, not written to disk
4. No file operations: No reading or writing of system files
5. Input validation: Strict validation of all input data

Security Implementation

• No network modules: No socket, requests, urllib, or http.client usage
• Standard library only: Uses only Python standard library modules
• Transparent code: All source code available for review
• Privacy protection: No data collection or transmission

Scientific Basis

Evidence-Based Techniques

1. Stress management research: Evidence-based stress reduction techniques
2. Sleep hygiene research: Scientifically validated sleep improvement methods
3. Respiratory physiology: Breathing regulation for stress management
4. Mindfulness research: Research-backed mindfulness practices
5. Cognitive behavioral principles: CBT-inspired techniques

Content Policy

• ✅ Modern scientific techniques: Focus on evidence-based methods
• ✅ Cultural neutrality: No culture-specific or traditional methods
• ✅ Educational focus: For self-improvement and education only
• ❌ No religious content: Excluded religious practices and terminology
• ❌ No medical advice: Not a substitute for professional healthcare
• ❌ No external dependencies: Uses only Python standard library

Commands

Basic Commands

1. Stress analysis

```

/sleep-health analyze-stress

```

Analyze current stress level and get recommendations

1. Sleep analysis

```

/sleep-health analyze-sleep

```

Analyze sleep quality and get optimization suggestions

1. Audio guidance

```

/sleep-health audio-guidance [protocol]

```

Start audio guidance session (relaxation, sleep, focus)

1. Breathing guidance

```

/sleep-health breathing-guidance [technique]

```

Guide breathing exercise (calm_breathing, sleep_breathing, energy_breathing)

1. Mindfulness guidance

```

/sleep-health mindfulness-guidance [practice]

```

Guide mindfulness practice (awareness, relaxation, compassion)

Advanced Commands

1. Health monitoring

```

/sleep-health health-monitoring

```

Monitor health based on user-provided data

1. Get status

```

/sleep-health status

```

Check skill status and version

1. Cleanup session

```

/sleep-health cleanup

```

Clear session data from memory

Installation

OpenClaw Installation

# Install via ClawHub
npx clawhub install sleep-health-assistant

Manual Installation

1. Download the skill package
2. Extract to OpenClaw skills directory
3. Restart OpenClaw

Configuration

Basic Configuration

Edit config.yaml to customize:

• Feature enable/disable
• Default protocols and techniques
• Performance settings

No Environment Variables

No environment variables required. The skill operates entirely locally.

Performance

Response Times

• Command response: < 100ms
• Stress analysis: < 500ms
• Sleep analysis: < 500ms
• Guidance generation: < 200ms

Resource Usage

• Memory usage: < 50MB
• CPU usage: < 5%
• Disk usage: Configuration files only

Compatibility

Supported Platforms

• Operating Systems: Windows, macOS, Linux
• Python Versions: 3.8+
• OpenClaw Versions: 2026.3+
• Architectures: x86_64, arm64

Dependencies

• Required: None (uses Python standard library only)
• Optional: None

Development

Code Structure

skill.py              # Main skill implementation
config.yaml          # Configuration file
SKILL.md            # This documentation
README.md           # User guide
CHANGELOG.md        # Version history
requirements.txt    # Dependency list (empty)

Testing

# Run basic tests
python -c "from skill import SleepHealthAssistantSkill; skill = SleepHealthAssistantSkill(); print(skill.handle_command('status'))"

Troubleshooting

Common Issues

1. Command not recognized: Ensure skill is properly installed
2. No response: Check OpenClaw logs for errors
3. Performance issues: Verify system meets minimum requirements

Logs

Check OpenClaw logs for detailed error information:

• Installation logs
• Runtime logs
• Error logs

Support

Documentation

• Full documentation: This file (SKILL.md)
• User guide: README.md
• Configuration: config.yaml
• Changelog: CHANGELOG.md

Issues

Report issues via appropriate channels.

License

MIT License

Version

Current version: 1.0.0

Contact

• Maintainer: OpenClaw Assistant
• Community: OpenClaw community
• Updates: Check ClawHub for latest version

Important Notes

Privacy and Security

• All processing is 100% local
• No data is stored on disk
• No data is transmitted externally
• No network access is required

Scope and Limitations

• This skill is for educational and self-improvement purposes only
• It is not a substitute for professional medical advice
• Users should consult healthcare professionals for medical concerns

Content Policy

• Focuses on modern, evidence-based techniques
• Excludes religious and culture-specific content
• Maintains scientific and educational focus