月经周期跟踪与分析技能 (Menstrual Cycle Tracking and Analysis Skill)
## 技能概述
Best use case
月经周期跟踪与分析技能 (Menstrual Cycle Tracking and Analysis Skill) is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## 技能概述
Teams using 月经周期跟踪与分析技能 (Menstrual Cycle Tracking and Analysis Skill) should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/menstrual-cycle-tracking/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How 月经周期跟踪与分析技能 (Menstrual Cycle Tracking and Analysis Skill) Compares
| Feature / Agent | 月经周期跟踪与分析技能 (Menstrual Cycle Tracking and Analysis Skill) | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## 技能概述
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 月经周期跟踪与分析技能 (Menstrual Cycle Tracking and Analysis Skill)
## 技能概述
这是一个专门用于记录、跟踪和分析月经周期数据的OpenClaw技能。该技能能够帮助用户记录月经周期中的各种指标（出血量、疼痛程度、情绪变化等），并提供数据可视化和健康分析功能。
## 功能特性
### 1. 数据记录
- 支持多种月经相关指标的记录：
- 出血量（spotting, light, medium, heavy）
- 疼痛等级（0-10级）
- 情绪状态（疲劳、放松、焦虑等）
- 周期事件（月经开始、结束、经前期等）
- 个人备注
### 2. 数据存储
- 使用JSON格式存储月经周期数据
- 按日期排序和组织数据
- 支持历史数据回溯和更新
### 3. 数据分析
- 自动计算平均周期长度
- 统计出血量分布
- 分析疼痛等级趋势
- 情绪变化模式识别
- 周期规律性评估
### 4. 数据可视化
- 生成多维度图表：
- 出血量变化趋势图
- 疼痛等级变化图
- 情绪变化热力图
- 月历视图（出血量和疼痛程度双重编码）
### 5. 健康洞察
- 识别周期规律
- 预测未来周期
- 识别异常模式
- 提供健康建议
## 使用方法
### 初始化
```bash
# 安装所需依赖
pip3 install python3-matplotlib python3-pandas python3-numpy
```
### 数据记录
用户可以通过自然语言描述记录月经数据，系统会自动解析并存储相关信息。
### 数据查询
支持按时间段查询历史记录，提供统计摘要。
### 图表生成
使用matplotlib生成专业健康分析图表，支持中英文标签。
## 文件结构
```
skills/
└── menstrual-tracking/
├── SKILL.md # 技能说明文件
├── data/
│ └── menstrual_data.json # 存储月经数据
├── tools/
│ ├── data_parser.py # 数据解析工具
│ ├── visualizer.py # 可视化工具
│ └── analyzer.py # 分析工具
└── examples/
├── sample_data.json # 示例数据
└── generated_charts/ # 生成的图表示例
```
## 技能优势
1. **全面性** - 涵盖月经周期的所有关键指标
2. **可视化** - 提供多种图表类型帮助理解数据
3. **个性化** - 根据个人数据提供定制化分析
4. **易用性** - 支持自然语言输入，降低使用门槛
5. **隐私保护** - 数据本地存储，确保用户隐私安全
## 扩展功能
- 周期预测提醒
- 症状关联分析
- 生活方式建议
- 与医疗专业人员共享数据（可选）
这个技能可以帮助女性用户更好地了解和管理自己的月经周期健康，通过数据分析发现潜在的健康模式。Related Skills
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