An AI-powered fertility tracking skill that utilizes personalized temperature pattern detection and multi-signal Bayesian fusion for precise ovulation prediction.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ovulation-tracking
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ovulation-tracking using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Fertility Tracker?
Fertility Tracker is a sophisticated health-focused implementation among Openclaw Skills designed to provide high-precision ovulation forecasting. By moving beyond generic cycle advice, it analyzes your unique physiological signals—including basal body temperature from Oura Ring, HRV, and LH test results—to learn your specific hormonal patterns over multiple cycles. This privacy-first tool operates locally, ensuring sensitive health data remains under your control while providing professional-grade insights and personalized pattern recognition.
Fertility Tracker Use Cases
- Tracking ovulation with high accuracy for individuals or couples trying to conceive (TTC).
- Identifying personalized temperature rise patterns such as Delayed or Gradual rises that generic apps often miss.
- Automating health data collection from Oura Ring for seamless daily monitoring.
- Receiving early alerts for pre-ovulatory temperature dips to maximize the fertile window.
- Coordinating with partners through automated fertility window notifications and action plans.
How Fertility Tracker Works
- The skill initializes by loading user configurations and previous cycle history to establish a baseline.
- It automatically fetches physiological data such as temperature and HRV directly from the Oura Ring API.
- Users input secondary signals including LH test results, cervical mucus consistency, and physical symptoms.
- A Bayesian fusion algorithm weighs these signals to calculate a posterior probability for ovulation events.
- The system classifies the user's specific temperature rise type (Type A, B, C, or D) over 2-3 cycles to refine future predictions.
- Real-time alerts are triggered via email or Telegram based on detected pre-ovulatory dips or LH surges.
Fertility Tracker Setup
To install this skill, use the following command via your terminal:
npx clawhub@latest install fertility-tracker
Next, create a config.json file in your project directory to connect your Oura account and set alert preferences:
{
"cycleStart": "2026-04-10",
"oura": {
"token": "YOUR_OURA_TOKEN"
},
"alerts": {
"email": true
}
}
You can then run a daily check using:
node v2/index.js check
Fertility Tracker Data Schema & Taxonomy
The skill maintains a structured data hierarchy to ensure long-term learning and accuracy across cycles. The primary data points include:
| Component | Data Type | Description |
|---|---|---|
cycleStart |
String (ISO) | The start date of the current menstrual cycle. |
temperatures |
Array | Daily temperature readings sourced from the Oura Ring API. |
pattern |
Object | The learned pattern type (A, B, C, or D) and associated confidence score. |
signals |
Map | Weighted data points from LH tests, HRV, and physical symptoms. |
alerts |
Object | Configuration for Telegram or Email notifications for the user and partner. |
Fertility Tracker Advanced Features
- Multi-Signal Bayesian Fusion: Aggregates five distinct data sources, including HRV and LH tests, for 80-90% prediction accuracy.
- Pre-Ovulatory Dip Detection: Automatically identifies temperature drops of 0.2°C or more to signal ovulation within 12-24 hours.
- Partner Integration: Automated action plans are sent to partners upon LH surge detection to optimize TTC timing.
- Local-First Privacy: All health data analysis is performed locally on your machine, making it a secure choice among Openclaw Skills.
- Multi-Cycle Learning: Prediction precision increases significantly after the first three cycles as the AI adapts to individual physiological variability.
SKILL.md
Loading
Related Openclaw Skills
Book Cover Generator
An AI-powered image generation tool designed to create professional-grade book covers and novel art for indie authors and self-publishers.
Agency Workflow Starter
A production-ready n8n workflow designed for AI automation agencies to deploy professional inbound lead routing for clients in under 30 minutes.
Chat History
A professional-grade search tool for querying and referencing past WhatsApp and chat conversations stored within the PostgreSQL audit log.
Audio Recognition
A professional-grade Speech-to-Text engine designed to transform complex audio files into structured, speaker-labeled text.
Skill Analytics
A monitoring tool for AI agents that logs every skill invocation to generate actionable usage reports and performance trends.
Roblox Clip Transformer
An automated video editing tool for converting Roblox gameplay into platform-ready social media content.
Featured*
