AICycling_mcp/templates/additional_templates.txt

# templates/workflows/training_load_analysis.txt

Analyze training load, fatigue, and recovery status using calculated metrics.

TRAINING LOAD ANALYSIS:
=======================

Current Training Load Status:
- Fitness (Chronic Training Load): {training_load[chronic_load]:.1f}
- Fatigue (Acute Training Load): {training_load[acute_load]:.1f}  
- Form (Training Stress Balance): {training_load[form]:+.1f}
- Overall Status: {form_status}

Training Load Interpretation:
- Fitness Level: {% if training_load.fitness > 60 %}High{% elif training_load.fitness > 30 %}Moderate{% else %}Building{% endif %}
- Fatigue Level: {% if training_load.fatigue > 80 %}Very High{% elif training_load.fatigue > 50 %}High{% elif training_load.fatigue > 25 %}Moderate{% else %}Low{% endif %}
- Form Status: {% if training_load.form > 5 %}Fresh{% elif training_load.form > -5 %}Maintaining{% elif training_load.form > -15 %}Building{% else %}Overreached{% endif %}

PERFORMANCE TRENDS (6 weeks):
{% for trend in performance_trends %}
- {trend.metric}: {trend.trend_direction} ({trend.trend_7day:+.1f}% vs 1wk, {trend.trend_30day:+.1f}% vs 1mo)
  Confidence: {trend.confidence:.0%}
{% endfor %}

MY TRAINING RULES:
{training_rules}

Based on this training load analysis, provide:

1. **Current Training Status Assessment**: 
   - Is the form score of {training_load[form]:+.1f} optimal for continued training?
   - What does the fitness/fatigue balance indicate about training adaptation?

2. **Fatigue Management**: 
   - With current fatigue at {training_load[fatigue]:.1f}, what's the risk level?
   - How many recovery days are recommended before next hard session?

3. **Performance Trend Analysis**:
   - Which metrics show the strongest positive trends?
   - Are there concerning negative trends that need addressing?
   - How do the trends align with the current training load?

4. **Training Periodization Recommendations**:
   - Should training intensity increase, decrease, or maintain?
   - What's the optimal training focus for the next 7-14 days?
   - When would be the best time for a recovery week?

5. **Risk Assessment**:
   - Overtraining risk: {% if training_load.form < -20 %}HIGH{% elif training_load.form < -10 %}MODERATE{% else %}LOW{% endif %}
   - Detraining risk: {% if training_load.form > 10 %}MODERATE{% else %}LOW{% endif %}
   - Plateau risk: {% if performance_trends|length == 0 %}UNKNOWN{% else %}LOW{% endif %}

6. **Specific Action Plan**: Based on form score of {training_load[form]:+.1f}, recommend:
   - Training intensity for next 3 workouts
   - Target training stress score range
   - Recovery activities and timing

Focus on actionable recommendations based on the calculated training load metrics.

---

# templates/workflows/suggest_next_workout_data_driven.txt

Data-driven workout suggestion based on training load and performance trends.

WORKOUT RECOMMENDATION ANALYSIS:
================================

Training Load Context:
{% if training_load %}
- Fitness: {training_load.fitness:.1f}
- Fatigue: {training_load.fatigue:.1f}
- Form: {training_load.form:+.1f}
{% else %}
- Training load data: Not available
{% endif %}

Recent Workout Pattern (last 7 cycling sessions):
- Average Intensity: {recent_workout_analysis[avg_intensity]}/10
- Average Duration: {recent_workout_analysis[avg_duration]:.0f} minutes
- Pattern Analysis: {recent_workout_analysis[pattern_analysis]}
- Workout Types: {', '.join(recent_workout_analysis[workout_types])}

Performance Trends:
{% for trend in performance_trends %}
- {trend.metric_name}: {trend.trend_direction} ({trend.trend_7day:+.1f}% change)
{% endfor %}

Recommendation Category: {recommendation_type}

MY TRAINING RULES:
{training_rules}

{% if user_ftp %}Current FTP: {user_ftp}W{% endif %}

Based on this comprehensive data analysis, provide:

1. **Next Workout Prescription**:
   - Workout Type: [Specify: Recovery, Endurance, Tempo, Threshold, VO2max, Neuromuscular]
   - Duration: [Specific minute range]
   - Intensity: [Power zones if FTP available, or HR zones/RPE]
   - Structure: [Intervals, steady state, fartlek, etc.]

2. **Scientific Rationale**:
   - How does this workout address the "{recommendation_type}" need?
   - Why is this optimal given form score of {training_load.form if training_load else 'unknown'}?
   - How will it impact the current performance trends?

3. **Specific Workout Details**:
   {% if user_ftp %}
   Power-Based Workout (FTP: {user_ftp}W):
   - Zone 1 (Active Recovery): < {(user_ftp * 0.55)|int}W
   - Zone 2 (Endurance): {(user_ftp * 0.56)|int}-{(user_ftp * 0.75)|int}W
   - Zone 3 (Tempo): {(user_ftp * 0.76)|int}-{(user_ftp * 0.90)|int}W
   - Zone 4 (Threshold): {(user_ftp * 0.91)|int}-{(user_ftp * 1.05)|int}W
   - Zone 5 (VO2max): {(user_ftp * 1.06)|int}-{(user_ftp * 1.20)|int}W
   {% else %}
   RPE/HR-Based Workout (no power meter):
   - Easy: RPE 3-4, conversational pace
   - Moderate: RPE 5-6, can speak in short phrases
   - Hard: RPE 7-8, difficult to speak
   - Very Hard: RPE 9-10, all-out effort
   {% endif %}

4. **Single Speed Considerations** (if applicable):
   - Recommended gear ratio for this workout
   - Terrain considerations for optimal execution
   - Cadence targets and adjustments

5. **Recovery Integration**:
   - How much recovery time after this workout?
   - What recovery activities are recommended?
   - When can the next structured workout occur?

6. **Progressive Overload Strategy**:
   - How does this workout build on recent training?
   - What metrics should improve from this session?
   - Next week's progression plan

7. **Alternative Options**: Provide 2-3 alternative workouts if conditions change:
   - Weather-dependent alternatives
   - Time-constrained alternatives  
   - Equipment-limited alternatives

Focus on specific, measurable workout prescriptions based on the data trends and training load analysis.

---

# templates/base/data_sections/workout_data.txt

DETAILED WORKOUT DATA:
Duration: {duration_minutes:.0f} minutes ({duration_minutes//60:.0f}h {duration_minutes%60:.0f}m)
Distance: {distance_km:.1f} km
Average Speed: {avg_speed_kmh:.1f} km/h (max: {max_speed_kmh:.1f} km/h)
Elevation Gain: {elevation_gain_m:.0f} m
{% if avg_hr %}Average Heart Rate: {avg_hr:.0f} bpm{% endif %}
{% if max_hr %}Maximum Heart Rate: {max_hr:.0f} bpm{% endif %}
{% if avg_power %}Average Power: {avg_power:.0f} W{% endif %}
{% if max_power %}Maximum Power: {max_power:.0f} W{% endif %}