A biometric intelligence layer that translates Whoop data and menstrual cycles into actionable daily insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hercycle
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 hercycle 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 HerCycle: Women's Cycle Intelligence?
HerCycle is an advanced cycle intelligence companion designed to transform how women interact with their biological rhythms. Unlike standard period trackers, HerCycle functions as a biometric intelligence layer within the Openclaw Skills framework, integrating directly with Whoop API data to monitor HRV, recovery, and skin temperature. It treats the menstrual cycle as a source of performance rather than a limitation, helping users align their work, fitness, and social lives with their hormonal seasons.
By providing a technical bridge between raw biometric data and daily decision-making, it empowers AI agents to offer phase-aware recommendations. This skill is a primary example of how Openclaw Skills can be used to build deeply personalized health integrations that go beyond simple data logging, providing high-value context for every phase of the month.
HerCycle: Women's Cycle Intelligence Use Cases
- Determining the current hormonal season based on real-time Whoop recovery and skin temperature trends.
- Receiving phase-aware training recommendations to optimize gym performance or prioritize restoration.
- Scheduling high-stakes meetings or creative workshops during peak cognitive windows like the Ovulation season.
- Generating nutrition plans tailored to specific hormonal needs, such as iron-rich meals during the Menstrual phase.
- Triggering automated Spotify playlists that match the emotional and energetic state of the current cycle phase.
How HerCycle: Women's Cycle Intelligence Works
- The skill queries the WhoopClaw backend to retrieve the latest biometric markers, including HRV, recovery score, and skin temperature.
- It checks the WhoopClaw database for menstrual cycle logs or infers the current phase based on skin temperature spikes indicating ovulation.
- The system maps the current physiological state to one of the four hormonal seasons: Winter (Menstrual), Spring (Follicular), Summer (Ovulation), or Autumn (Luteal).
- It processes the phase data through pluggable action modules such as training, nutrition, or calendar management.
- The AI agent delivers a technical, actionable recommendation based on the combined biometric and hormonal context provided by this entry in the Openclaw Skills library.
HerCycle: Women's Cycle Intelligence Setup
- Register for Whoop API credentials at developer-dashboard.whoop.com to obtain your client ID and secret.
- Clone the WhoopClaw FastAPI backend repository and configure your environment variables.
- Start the server using the following command:
uvicorn main:app
- Complete the OAuth flow via the
/whoop/authorizeendpoint to connect your account. - Configure the
WHOOPLAW_BASE_URLin your Openclaw Skills environment to point to your local or hosted instance.
HerCycle: Women's Cycle Intelligence Data Schema & Taxonomy
HerCycle organizes data through a structured relationship between biometric metrics and hormonal phases. The data is managed via the following taxonomy:
| Data Type | Source | Description |
|---|---|---|
| Biometrics | Whoop API | HRV, skin temperature, and recovery scores. |
| Cycle Logs | WhoopClaw DB | Manual entries or inferred phase data. |
| Phase Map | Internal Logic | Maps day 1-28+ to specific cognitive and physical 'seasons'. |
| Action Modules | JSON Config | Stores preferences for music, training, and nutrition outputs. |
HerCycle: Women's Cycle Intelligence Advanced Features
- Skin Temperature Inference: Automatically detects ovulation phases even without manual user logging by analyzing thermal trends.
- Pluggable Action Modules: Developers can extend the skill by adding custom modules for smart home, social, or workspace automations.
- Multi-Agent Context: Allows different AI agents to share the same phase-aware intelligence for a unified user experience.
- Real-time Biometric Hooks: Syncs instantly with Whoop to ensure recommendations are based on the most recent recovery data available in the Openclaw Skills ecosystem.
SKILL.md
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