clue
Compare original and translation side by side
🇺🇸
Original
English🇨🇳
Translation
ChineseClue Skill
Clue Skill
Overview
概述
Enables Claude to use Clue for menstrual cycle tracking including viewing cycle predictions, symptom patterns, and reproductive health data.
让Claude能够使用Clue进行月经周期追踪,包括查看周期预测、症状规律以及生殖健康数据。
Quick Install
快速安装
bash
curl -sSL https://canifi.com/skills/clue/install.sh | bashOr manually:
bash
cp -r skills/clue ~/.canifi/skills/bash
curl -sSL https://canifi.com/skills/clue/install.sh | bash或者手动安装:
bash
cp -r skills/clue ~/.canifi/skills/Setup
设置
Configure via canifi-env:
bash
undefined通过canifi-env进行配置:
bash
undefinedFirst, ensure canifi-env is installed:
首先,确保已安装canifi-env:
curl -sSL https://canifi.com/install.sh | bash
curl -sSL https://canifi.com/install.sh | bash
canifi-env set CLUE_EMAIL "your-email@example.com"
canifi-env set CLUE_PASSWORD "your-password"
undefinedcanifi-env set CLUE_EMAIL "your-email@example.com"
canifi-env set CLUE_PASSWORD "your-password"
undefinedPrivacy & Authentication
隐私与认证
Your credentials, your choice. Canifi LifeOS respects your privacy.
你的凭证,由你掌控。Canifi LifeOS 尊重你的隐私。
Option 1: Manual Browser Login (Recommended)
选项1:手动浏览器登录(推荐)
If you prefer not to share credentials with Claude Code:
- Complete the Browser Automation Setup using CDP mode
- Login to the service manually in the Playwright-controlled Chrome window
- Claude will use your authenticated session without ever seeing your password
如果你不想与Claude Code共享凭证:
- 使用CDP模式完成浏览器自动化设置
- 在Playwright控制的Chrome窗口中手动登录该服务
- Claude将使用你的已认证会话,全程不会获取你的密码
Option 2: Environment Variables
选项2:环境变量
If you're comfortable sharing credentials, you can store them locally:
bash
canifi-env set SERVICE_EMAIL "your-email"
canifi-env set SERVICE_PASSWORD "your-password"Note: Credentials stored in canifi-env are only accessible locally on your machine and are never transmitted.
如果你愿意共享凭证,可以将其存储在本地:
bash
canifi-env set SERVICE_EMAIL "your-email"
canifi-env set SERVICE_PASSWORD "your-password"注意:存储在canifi-env中的凭证仅可在你的本地设备访问,绝不会被传输。
Capabilities
功能特性
- View cycle predictions
- Check period history
- Access symptom patterns
- View cycle statistics
- Check tracking history
- Access cycle insights
- 查看周期预测
- 查看经期历史
- 获取症状规律
- 查看周期统计数据
- 查看追踪历史
- 获取周期洞察
Usage Examples
使用示例
Example 1: Check Cycle Status
示例1:查看周期状态
User: "Where am I in my cycle?"
Claude: I'll check your cycle status.
1. Opening Clue via Playwright MCP
2. Accessing current cycle view
3. Identifying cycle day
4. Noting phase information用户:“我现在处于周期的哪个阶段?”
Claude:我将为你查看周期状态。
1. 通过Playwright MCP打开Clue
2. 访问当前周期视图
3. 确定周期天数
4. 记录阶段信息Example 2: View Cycle History
示例2:查看周期历史
User: "How long have my cycles been?"
Claude: I'll analyze your cycle lengths.
1. Accessing cycle history
2. Viewing past cycles
3. Calculating average length
4. Noting any variations用户:“我的周期通常有多长?”
Claude:我将分析你的周期时长。
1. 访问周期历史
2. 查看过往周期
3. 计算平均时长
4. 记录所有差异情况Example 3: Check Symptom Patterns
示例3:查看症状规律
User: "Do I usually get cramps before my period?"
Claude: I'll check your patterns.
1. Accessing symptom data
2. Analyzing cramp logging
3. Identifying timing patterns
4. Summarizing findings用户:“我通常在经期前会痛经吗?”
Claude:我将为你查看相关规律。
1. 访问症状数据
2. 分析痛经记录
3. 识别时间规律
4. 总结发现结果Authentication Flow
认证流程
- Navigate to helloclue.com via Playwright MCP
- Click "Log In" and enter email
- Enter password
- Handle 2FA if required (via iMessage)
- Maintain session for data access
- 通过Playwright MCP导航至helloclue.com
- 点击“登录”并输入邮箱
- 输入密码
- 如需两步验证则处理(通过iMessage)
- 维持会话以访问数据
Error Handling
错误处理
- Login Failed: Retry up to 3 times, notify via iMessage
- Session Expired: Re-authenticate automatically
- Rate Limited: Implement exponential backoff
- 2FA Required: Send iMessage notification
- Data Unavailable: Check logging history
- Sync Error: Refresh and retry
- 登录失败:最多重试3次,通过iMessage通知用户
- 会话过期:自动重新认证
- 速率限制:实现指数退避机制
- 需要两步验证:发送iMessage通知
- 数据不可用:检查记录历史
- 同步错误:刷新并重试
Self-Improvement Instructions
自我更新说明
When Clue updates:
- Document new tracking categories
- Update prediction algorithm notes
- Track feature additions
- Log privacy changes
当Clue更新时:
- 记录新的追踪类别
- 更新预测算法说明
- 追踪新增功能
- 记录隐私政策变更
Notes
注意事项
- Science-based tracking
- Privacy-focused design
- Multiple tracking categories
- Clue Plus for advanced features
- Research collaboration
- 基于科学的追踪方式
- 注重隐私的设计
- 多种追踪类别
- Clue Plus提供高级功能
- 研究合作