goal-analyzer

Health Goal Analyzer Skill

Analyze health goal data, identify goal patterns and progress, assess goal achievement, and provide personalized goal management recommendations.

Features

1. SMART Goal Validation

Validate whether a newly set goal complies with the SMART principles.

Validation Dimensions:

Specific (Specific)
- Whether the goal is clear and specific
- Whether it has a clear definition
- Whether vague expressions are avoided

Measurable (Measurable)
- Whether there are quantifiable indicators
- Whether there are clear measurement standards
- Whether progress can be tracked
Achievable (Achievable)
- Whether the goal is realistic and feasible
- Whether the current situation is considered
- Whether it is within a reasonable time frame
- Weight loss goal: 0.5-1 kg per week is recommended
- Exercise goal: 3-5 times per week, 30-60 minutes each time is recommended
Relevant (Relevant)
- Whether the goal is health-related
- Whether it fits the user's overall health plan
- Whether it is coordinated with existing goals
Time-bound (Time-bound)
- Whether there is a clear deadline
- Whether the time frame is reasonable
- Whether there are phased milestones

Output:

SMART score (1-5 points for each dimension)
Overall score and grade (S/A/B/C)
Improvement suggestions
Goal optimization plan

Example Assessment:

{
  "goal": "6个月内减重5公斤",
  "smart_scores": {
    "specific": 5,
    "measurable": 5,
    "achievable": 4,
    "relevant": 5,
    "time_bound": 5
  },
  "overall_score": 4.8,
  "grade": "A",
  "assessment": "优秀的SMART目标",
  "suggestions": [
    "建议设定阶段性里程碑(每2个月减重1.5-2公斤)",
    "建议配合运动计划和饮食调整"
  ]
}

2. Goal Progress Tracking

Track and analyze the completion progress of goals.

Tracking Content:

Current Progress
- Completion percentage
- Current value vs target value
- Remaining gap
Time Progress
- Proportion of time elapsed
- Remaining time
- Judgment of being ahead/behind schedule
Speed Analysis
- Average progress speed (per week/month)
- Estimated completion time
- Whether the plan needs adjustment
Trend Identification
- Progress trend (accelerating/stable/decelerating)
- Periodic patterns
- Abnormal fluctuation detection

Output:

Progress visualization (progress bar, percentage)
Completion probability prediction
Time estimate (optimistic/neutral/pessimistic)
Adjustment suggestions

Progress Rating:

🟢 Excellent - Ahead of schedule, expected to finish early
🟡 Normal - Progress meets expectations
🟠 Behind - Progress is slightly slow, need to speed up
🔴 Severely Behind - Progress is severely lagging, recommend adjusting the goal

3. Habit Formation Analysis

Analyze habit formation and continuity.

Analysis Content:

Consecutive Days Tracking
- Current consecutive days
- Longest consecutive days in history
- Average Streak
Completion Rate Statistics
- Overall Completion Rate
- Weekly Completion Rate
- Monthly Completion Rate
- Completion Rate by Day of Week
Habit Strength Assessment
- Habit Consolidation Level (1-10 points)
- Habit Stability Score
- Automaticity Assessment
Habit Pattern Recognition
- Optimal Trigger Time
- Common Reasons for Interruption
- Success Factor Identification

Habit Formation Stages:

Days 1-7 - Initiation Phase (easiest to give up)
Days 8-21 - Formation Phase (gradually stabilizing)
Days 22-30 - Consolidation Phase (approaching automaticity)
Days 31-66 - Habit Phase (basically formed)
Day 67+ - Automaticity Phase (fully automatic)

Output:

Habit Heatmap (Calendar View)
Streak Statistics
Completion Rate Trend Chart
Habit Strength Score
Habit Stacking Suggestions

Example Analysis:

{
  "habit": "morning-stretch",
  "current_streak": 21,
  "longest_streak": 21,
  "completion_rate": 95.2,
  "strength_score": 7.5,
  "stage": "巩固期",
  "assessment": "习惯即将形成,继续保持!",
  "next_milestone": 30,
  "suggestions": [
    "继续保持,即将达到30天里程碑",
    "可以尝试添加新的相关习惯"
  ]
}

4. Motivation Assessment and Management

Assess and manage the user's motivation level.

Assessment Content:

Motivation Score Tracking
- Current Motivation Level (1-10 points)
- Motivation Change Trend
- Motivation Fluctuation Cycle
Motivation Factor Analysis
- Intrinsic Motivation (health, self-actualization)
- Extrinsic Motivation (rewards, recognition)
- Social Support (encouragement from family and friends)
Motivation Low Point Identification
- Signals of Declining Motivation
- Common Low Point Time Points
- Risk Period Warning

Motivation Improvement Strategies:

Weeks 2-3 - Declining motivation, need to emphasize progress already made
Months 1-2 - Fatigue period, need to adjust goals and rewards
After 3 Months - Burnout period, need freshness and challenges

Output:

Motivation Trend Chart
Motivation Low Point Warning
Personalized Incentive Suggestions
Reward Mechanism Suggestions

Incentive Suggestion Examples:

When motivation < 5 points: review original intention, lower short-term goals
When motivation is 5-7 points: emphasize progress, set small rewards
When motivation > 7 points: set challenges, pursue excellence

5. Achievement System Management

Manage the unlocking and progress of the basic achievement system.

Achievement Types:

Goal-Related Achievements
- 🏆 First Goal - Complete the first health goal
- 🎯 Halfway There - Complete 50% of any goal
- 🎉 Goal Achieved - Complete a health goal
- ⚡ Early Completion - Complete a goal ahead of schedule
- 📈 Overachievement - Exceed the goal
Habit-Related Achievements
- 🔥 7-Day Streak - Check in any habit for 7 consecutive days
- 💪 21-Day Streak - Check in any habit for 21 consecutive days
- ⭐ 30-Day Streak - Check in any habit for 30 consecutive days
- 🌟 66 consecutive days - Any habit checked in for 66 consecutive days (fully formed)
Comprehensive Achievements
- 🏅 Parallel Multi-goals - Complete 3 goals simultaneously
- 💎 Perfect Persistence - 100% completion rate for a 30-day habit
- 🚀 Rapid Progress - Greatest progress in a single week
- 👑 Long-term Persistence - Continuous tracking for 180 days

Achievement Tracking:

Unlocked Achievements List
Unlocked Achievement Progress
Achievement Unlock Time
Achievement-related Suggestions

Output:

Achievement Badge Display
Achievement Completion Progress
Next Unlockable Achievement
Achievement Suggestions

6. Obstacle Identification and Suggestions

Identify factors hindering goal achievement and provide solutions.

Obstacle Type:

Time Obstacle
- Busy, insufficient time
- Suggestion: shorten single session duration, increase frequency; use fragmented time
Motivation Obstacle
- Lack of motivation, procrastination
- Suggestion: set reminders; find a partner; adjust goals
Environmental Obstacle
- Lack of support, too many temptations
- Suggestion: change the environment; find alternatives; build a support system
Ability Obstacle
- Goal too difficult, lack of knowledge
- Suggestion: reduce difficulty; learn knowledge; seek professional help
Physical Obstacle
- Fatigue, discomfort, injury
- Suggestion: rest and recover; adjust the plan; consult a doctor

Output:

Main Obstacle Identification
Obstacle Frequency Statistics
Personalized Solutions
Preventive Suggestions

7. Data Correlation Analysis

Correlate health goals with other health data for analysis.

Correlation Dimension:

Weight Loss Goal Correlation
- Nutritional Intake (calories, macronutrients)
- Exercise Expenditure (frequency, intensity, duration)
- Sleep Quality (duration, depth)
- Weight Change Trend
Exercise Goal Correlation
- Sleep Quality (recovery status)
- Nutritional Intake (protein, carbohydrates)
- Body Metrics (weight, body fat percentage)
Diet Goal Correlation
- Nutrient Intake (vitamins, minerals)
- Body Metrics (blood pressure, blood sugar)
- Exercise Performance
Sleep Goal Correlation
- Exercise Time (impact of evening exercise)
- Diet Time (dinner time, caffeine)
- Screen Time (blue light impact)

Analysis Method:

Correlation Analysis (Pearson correlation coefficient)
Regression Analysis (prediction model)
Trend Matching (trend synchronicity)
Causal Inference (potential causal relationships)

Output:

Correlation Strength (strong/medium/weak)
Positive/Negative Correlation
Causal Relationship Inference
Optimization Suggestions

Example Correlation:

{
  "goal": "weight-loss",
  "correlations": [
    {
      "factor": "daily_calories",
      "correlation": -0.75,
      "strength": "强负相关",
      "insight": "每日卡路里摄入与减重进度呈强负相关,降低摄入加速进度"
    },
    {
      "factor": "exercise_frequency",
      "correlation": 0.68,
      "strength": "强正相关",
      "insight": "运动频率与减重进度呈强正相关,建议保持每周4次以上"
    },
    {
      "factor": "sleep_duration",
      "correlation": 0.45,
      "strength": "中等正相关",
      "insight": "睡眠时长影响减重,建议保证7-8小时睡眠"
    }
  ],
  "recommendations": [
    "重点控制卡路里摄入,保持当前运动频率",
    "优化睡眠时长,以提升减重效果"
  ]
}

8. Visualization Report Generation

Generate an interactive HTML report containing ECharts charts.

Report Type:

A. Progress Trend Report

Line chart showing target progress over time
Milestone annotations
Predicted completion time range
Progress rate analysis

B. Habit Heatmap Report

Calendar heatmap showing habit completion status
Color intensity indicates completion frequency
Streak annotations
Completion rate statistics

C. Multi-Goal Comparison Report

Ring chart showing completion rates of multiple goals
Priority ranking
Resource allocation suggestions
Progress synchronization analysis

D. Motivation Trend Report

Line chart showing motivation changes
Correlation between motivation and progress
Motivation low-point warnings
Motivational suggestions

E. Comprehensive Report

Includes all the above charts
Overall health status assessment
Comprehensive improvement suggestions
Suggestions for goals in the next phase

Report Features:

Responsive design, supports mobile devices
Dark/light theme switching
Interactive charts (zoom, filter)
Data table display
Export to PDF feature
Fully localized, no internet connection required

ECharts Chart Configuration:

// 进度趋势折线图
{
  type: 'line',
  xAxis: { type: 'category', data: ['1月', '2月', '3月', ...] },
  yAxis: { type: 'value', name: '完成%' },
  series: [{
    name: '目标进度',
    type: 'line',
    data: [0, 15, 35, 50, 70, 85, 100],
    smooth: true,
    markLine: {
      data: [{ yAxis: 50, name: '50%里程碑' }]
    }
  }]
}

// 习惯热图
{
  type: 'heatmap',
  xAxis: { type: 'category', data: ['周一', '周二', ...] },
  yAxis: { type: 'category', data: ['第1周', '第2周', ...] },
  visualMap: {
    min: 0, max: 1,
    inRange: { color: ['#ebedf0', '#216e39'] }
  },
  series: [{
    type: 'heatmap',
    data: [[0, 0, 1], [1, 0, 1], [2, 0, 0], ...]
  }]
}

// 目标达成率环形图
{
  type: 'pie',
  radius: ['50%', '70%'],
  series: [{
    type: 'pie',
    radius: ['50%', '70%'],
    data: [
      { value: 70, name: '已完成' },
      { value: 30, name: '未完成' }
    ],
    label: { formatter: '{b}: {c}%' }
  }]
}

Output:

HTML file (including complete CSS, JS, ECharts)
Chart interaction features
Data tables
Analysis text
Suggestion list

Medical Safety Boundaries

Scope of Capabilities Statement

✅ Assist in setting health goals
✅ Track and analyze goal progress
✅ Identify health behavior patterns
✅ Provide general health improvement suggestions
✅ Generate visualization reports
❌ Do not provide medical diagnosis
❌ Do not prescribe treatment
❌ Do not replace professional medical advice
❌ Do not handle eating disorders or compulsive behaviors

Danger Signal Identification

Extreme Goal Warnings:

Weight loss goal > 1 kg per week
Weight gain goal > 0.5 kg per week
Extreme calorie restriction (<1200 calories/day)
Excessive exercise (>2 hours/day, 7 days/week)

Signs of Unhealthy Behavior:

Completion rate <30% for 3 consecutive weeks
Motivation score <3 for 2 consecutive weeks
Reports of physical discomfort
Compulsive behavior patterns

Referral Suggestions:

When danger signals appear, it is recommended to consult a doctor
If you have chronic diseases, it is recommended to consult the relevant specialist
When setting dietary goals, it is recommended to consult a nutritionist
When setting exercise goals, it is recommended to consult a fitness coach

Output Format

Goal Analysis Report

# 健康目标分析报告

## 目标概览
- 目标: 6个月内减重5公斤
- 开始日期: 2025-01-01
- 目标日期: 2025-06-30
- 当前日期: 2025-03-20

## SMART评估
- 具体性: ⭐⭐⭐⭐⭐ (5/5)
- 可衡量性: ⭐⭐⭐⭐⭐ (5/5)
- 可实现性: ⭐⭐⭐⭐ (4/5)
- 相关性: ⭐⭐⭐⭐⭐ (5/5)
- 有时限: ⭐⭐⭐⭐⭐ (5/5)

**总体评分: A (4.8/5)**

## 进度分析
- 当前进度: 70%
- 已完成: 3.5公斤 / 5.0公斤
- 时间进度: 27% (79天/180天)
- 进度评级: 🟢 优秀 (进度超前)

### 趋势分析
- 平均速度: 0.77公斤/月
- 预计完成: 2025-05-20 (提前40天)
- 进度趋势: 稳定上升

## 习惯追踪
### 早上拉伸习惯
- 当前连续: 21天 🔥
- 历史最长: 21天
- 完成率: 95.2%
- 习惯阶段: 巩固期
- 下一个里程碑: 30天 ⭐

## 动机评估
- 当前动机: 8/10
- 动机趋势: 稳定
- 动机状态: 良好

## 数据关联分析
### 强相关因素(影响度>60%)
1. 每日卡路里摄入 (负相关 -0.75)
2. 每周运动频次 (正相关 +0.68)
3. 睡眠时长 (正相关 +0.45)

### 建议
- 保持当前卡路里摄入水平
- 继续保持每周4次运动频率
- 优化睡眠时长至7-8小时

## 障碍识别
主要障碍: 社交活动饮食控制

解决方案:
- 社交活动前提前规划饮食
- 选择健康餐厅
- 适量控制份量

## 成就解锁
🔥 连续21天 - 早上拉伸习惯达成!
🎯 半程达成 - 减重目标完成50%!

## 下一步行动
1. 保持当前进度
2. 关注社交活动饮食控制
3. 继续养成早操习惯
4. 准备达成30天里程碑

Technical Implementation Points

Data Reading

Read main data file: data-example/health-goals-tracker.json
Read log file: data-example/health-goals-logs/YYYY-MM/YYYY-MM-DD.json
Related data: data-example/nutrition-tracker.json, fitness-tracker.json etc.

Data Processing

Calculate completion percentage: (current_value / target_value) * 100
Calculate time progress: (days_elapsed / total_days) * 100
Calculate consecutive days: iterate through logs, count consecutive completion days
Calculate completion rate: (completed_days / total_days) * 100
Calculate habit strength: a composite score based on completion rate and streak days

SMART validation algorithm

def validate_smart_goal(goal):
    scores = {
        'specific': check_specificity(goal),
        'measurable': check_measurability(goal),
        'achievable': check_achievability(goal),
        'relevant': check_relevance(goal),
        'time_bound': check_time_bound(goal)
    }
    overall = sum(scores.values()) / len(scores)
    grade = get_grade(overall)
    return scores, overall, grade

HTML report generation

Use ECharts 5.x CDN
Responsive CSS layout
Handle chart interactions with JavaScript
Support dark/light theme switching
Data is dynamically loaded from JSON files

When using this skill, always prioritize the user's health and safety!

About this skill

Features

1. SMART Goal Validation

2. Goal Progress Tracking

3. Habit Formation Analysis

4. Motivation Assessment and Management

5. Achievement System Management

6. Obstacle Identification and Suggestions

7. Data Correlation Analysis

8. Visualization Report Generation

A. Progress Trend Report

B. Habit Heatmap Report

C. Multi-Goal Comparison Report

D. Motivation Trend Report

E. Comprehensive Report

Medical Safety Boundaries

Scope of Capabilities Statement

Danger Signal Identification

Output Format

Goal Analysis Report

Technical Implementation Points

Data Reading

Data Processing

SMART validation algorithm

HTML report generation