fitness

name: fitness description: Record exercise, manage fitness goals, generate workout prescriptions, and analyze fitness trends. Use when user wants to log workouts, track progress, or get exercise recommendations. argument-hint: <operation_type exercise_info, e.g.: record running 30minutes> allowed-tools: Read, Write schema: fitness/schema.json

Exercise and Fitness Management Skill

Record exercise, manage fitness goals, generate workout prescriptions, and analyze fitness trends.

Medical Safety Disclaimer

Important: The exercise recommendations and analysis provided by this system are for reference only and do not constitute medical advice or specific exercise prescriptions.

Cannot Do:

• Do not provide specific exercise prescriptions - exercise prescriptions must be formulated by doctors or exercise specialists
• Do not handle exercise injuries - injuries require medical attention
• Do not assess cardiovascular risk - medical evaluation required before exercise
• Do not replace professional guidance - complex exercises require professional coach guidance

Can Do:

• Exercise data recording and analysis
• Fitness goal management
• Exercise trend identification
• General exercise recommendations
• Reference recommendations based on health conditions

Core Flow

User Input → Identify Operation Type → [record] Parse Exercise Info → Save Record
                              ↓
                         [history/stats] Read Data → Display Report
                              ↓
                         [goal] Parse Goal → Update Goal → Save
                              ↓
                         [analysis] Read Data → Analyze Trends → Display Results
                              ↓
                         [prescription] Based on Health Status → Provide Reference Recommendations

Step 1: Parse User Input

Operation Type Recognition

Exercise Type Recognition

Aerobic Exercise

Strength Training

Ball Sports

Other Exercises

Intensity Recognition

Step 2: Parse Exercise Parameters

Duration Recognition

• "30 minutes" → 30
• "1 hour" → 60
• "90 minutes" → 90

Distance Recognition

• "5km" → 5.0
• "3 km" → 3.0
• "1000m" → 1.0 |

Pace Recognition

• "6min_per_km" → "6:00"
• "5'30"" → "5:30"

Heart Rate Recognition

• "heart_rate 145" → {avg: 145}
• "hr 145 max 165" → {avg: 145, max: 165}

Calorie Recognition

• "calories 300" → 300
• "burned 400 kcal" → 400 |

Step 3: Generate JSON

Exercise Record Data Structure

{
  "date": "2025-06-20",
  "time": "07:00",
  "type": "running",
  "duration_minutes": 30,
  "intensity": {
    "level": "moderate",
    "rpe": 13
  },
  "heart_rate": {
    "avg": 145,
    "max": 165,
    "min": 120
  },
  "distance_km": 5.0,
  "pace_min_per_km": "6:00",
  "calories_burned": 300,
  "how_felt": "good",
  "notes": "Felt comfortable, steady pace"
}

Fitness Goal Data Structure

{
  "goal_id": "goal_20250101",
  "category": "weight_loss",
  "title": "Lose 5 kg",
  "start_date": "2025-01-01",
  "target_date": "2025-06-30",
  "baseline_value": 75.0,
  "current_value": 70.5,
  "target_value": 70.0,
  "unit": "kg",
  "progress": 90,
  "status": "on_track"
}

Step 4: Save Data

1. Read data/fitness-tracker.json
2. Update corresponding record sections
3. Write back to file

FITT Principle Reference

Frequency（频率）

• Exercise days per week
• General recommendation: 3-5 days/week

Intensity（强度）

• Target heart rate zone = (220 - age) × 60-80%
• RPE 12-16（somewhat hard to hard）
• MET value reference

Time（时间）

• Warm-up: 5-10 minutes
• Main exercise: 20-60 minutes
• Cool-down: 5-10 minutes

Type（类型）

• Aerobic exercise: running, swimming, cycling, etc.
• Strength training: bodyweight, machines, free weights
• Flexibility training: stretching, yoga
• Balance training: tai chi, single-leg stand

Goal Types

For more examples, see examples.md.