skills/goal-analyzer/SKILL.md
分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
npx skillsauth add ranbot-ai/awesome-skills goal-analyzerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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分析健康目标数据,识别目标模式和进度,评估目标达成情况,并提供个性化目标管理建议。
验证设定的新目标是否符合SMART原则。
验证维度:
Specific(具体性)
Measurable(可衡量性)
Achievable(可实现性)
Relevant(相关性)
Time-bound(有时限)
输出:
示例评估:
{
"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"
]
}
追踪和分析目标的完成进度。
追踪内容:
当前进度
时间进度
速度分析
趋势识别
输出:
进度评级:
分析习惯的养成情况和连续性。
分析内容:
连续天数追踪
完成率统计
习惯强度评估
习惯模式识别
习惯养成阶段:
输出:
示例分析:
{
"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"
]
}
评估和管理用户的动机水平。
评估内容:
动机评分追踪
动机因素分析
动机低谷识别
动机提升策略:
输出:
激励建议示例:
管理基础成就系统的解锁和进度。
成就类型:
目标相关成就
习惯相关成就
综合成就
成就追踪:
输出:
识别阻碍目标达成的因素,提供解决方案。
障碍类型:
时间障碍
动机障碍
环境障碍
能力障碍
身体障碍
输出:
将健康目标与其他健康数据进行关联分析。
关联维度:
减重目标关联
运动目标关联
饮食目标关联
睡眠目标关联
分析方法:
输出:
示例关联:
{
"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"
]
}
生成包含ECharts图表的HTML交互式报告。
报告类型:
报告特点:
ECharts图表配置:
// 进度趋势折线图
{
type: 'line',
xAxis: { type: 'category', data: ['1月', '2月
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