biometric-intelligence

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Uses Oura ring data to make energy-aware decisions about scheduling, task prioritization, and recovery recommendations. Understands HRV, sleep quality, readiness scores, and their implications for productivity.

⭐0starsšŸ”€0forksšŸ“View on GitHubšŸ•Updated Jan 10, 2026

When & Why to Use This Skill

The Biometric Intelligence skill integrates Oura ring wearable data to enable energy-aware productivity and task prioritization. By analyzing key health metrics such as Heart Rate Variability (HRV), sleep quality, and readiness scores, it helps users align their professional workload with their physiological capacity, optimizing deep work sessions and providing data-driven recovery recommendations to prevent burnout.

Use Cases

  • Dynamic Task Prioritization: Automatically adjusting daily to-do lists by matching task complexity to the user's Readiness Score, ensuring high-stakes work is done during peak performance windows.
  • Burnout Prevention & Recovery: Monitoring HRV trends to provide proactive recommendations for rest, light movement, or reduced cognitive load when biometric data indicates accumulated stress.
  • Strategic Schedule Optimization: Using sleep and recovery insights to decide whether to proceed with intense creative sessions or defer important decision-making to a day with better physiological alignment.
namebiometric-intelligence
descriptionUses Oura ring data to make energy-aware decisions about scheduling, task prioritization, and recovery recommendations. Understands HRV, sleep quality, readiness scores, and their implications for productivity.

Biometric Intelligence Skill

This skill enables energy-aware decision making using Oura ring biometric data.

Key Metrics from Oura

Readiness Score (0-100)

  • 85+: Peak performance day - tackle hard problems
  • 70-84: Normal productivity - regular work
  • 60-69: Low energy - focus on maintenance tasks
  • <60: Recovery needed - minimal cognitive load

Sleep Score (0-100)

  • 85+: Well-rested - complex tasks OK
  • 70-84: Adequate - normal work capacity
  • <70: Sleep debt - prioritize rest, avoid decisions

HRV (Heart Rate Variability)

  • Above baseline: Good recovery, stress tolerance high
  • Below baseline: Accumulated stress, need recovery
  • Trending down: Approaching burnout, reduce load

Activity Balance

  • Met goal: Good energy expenditure
  • Under goal: May have excess energy, physical activity helps
  • Way over: Rest needed, avoid stacking stress

Energy-Aware Scheduling Principles

High Readiness Days (85+)

  • Schedule deep work sessions
  • Tackle creative or complex problems
  • Make important decisions
  • Push on challenging goals
  • Social/networking activities

Medium Readiness Days (70-84)

  • Regular task execution
  • Meetings and collaboration
  • Administrative work
  • Learning and skill building
  • Moderate exercise

Low Readiness Days (<70)

  • Quick wins and easy tasks
  • Reading and passive learning
  • Planning (not executing)
  • Gentle movement only
  • Social media/content consumption

Hunter Brain + Biometrics Patterns

When HRV is Low

  • Resistance will be HIGH
  • Don't fight it - log and redirect
  • Use body doubling or external accountability
  • Break tasks into 10-minute chunks

When Sleep Score is Low

  • Dopamine regulation is impaired
  • Hyperfocus risk (on wrong things)
  • Set hard time boundaries
  • Avoid starting new projects

Recovery Recommendations

Based on Oura data, recommend:

  1. Physical: Light walk, stretching, nap
  2. Mental: No new decisions, routine tasks only
  3. Social: Low-stakes interactions
  4. Work: Clear backlog, inbox zero, easy wins

API Integration

The Oura data is available at:

GET /api/oura/daily

Response structure:

{
  "readiness": 78,
  "sleep_score": 82,
  "hrv_balance": "above_baseline",
  "activity_score": 65,
  "recommendation": "Normal productivity day"
}

Using This Skill

When a user asks about scheduling or prioritization:

  1. Check current Oura data
  2. Match task difficulty to energy level
  3. Suggest appropriate activities
  4. Warn about low-energy pitfalls
  5. Recommend recovery if needed

Example response:

Based on your Oura data:
- Readiness: 72 (normal)
- Sleep: 68 (slightly low)
- HRV: below baseline

Recommendation: This is a "maintenance day" not a "breakthrough day."
Focus on:
āœ“ Clearing email backlog
āœ“ Quick task completions
āœ“ Light planning
āœ— Avoid: Complex coding, important decisions, new initiatives

Consider a 20-min walk to boost HRV before afternoon work.
biometric-intelligence – AI Agent Skills | Claude Skills