A powerful health data bridge that synchronizes Oura Ring biometrics into local, searchable Markdown files.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install oura-ring
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 oura-ring 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 Oura Ring Data Integration?
The Oura Ring skill is a developer-centric integration designed to pull comprehensive physiological metrics from your wearable device into your local environment. By automating the retrieval of sleep, readiness, and activity scores, it empowers users of Openclaw Skills to maintain a private, persistent record of their wellness journey. The skill transforms complex API responses into human-readable Markdown, making it easier than ever to analyze trends or provide health context to your AI agents.
This tool is particularly valuable for those building personal dashboards or life-tracking systems. By utilizing Openclaw Skills, you can bridge the gap between proprietary health platforms and your local knowledge base, ensuring your data is always accessible and formatted for easy querying.
Oura Ring Data Integration Use Cases
- Automatically logging daily sleep and readiness scores into a personal knowledge base.
- Creating a historical archive of heart rate, stress, and SpO2 levels for long-term health analysis.
- Providing an AI agent with context regarding your physical recovery state to optimize work schedules.
- Integrating wearable biometrics with other productivity workflows using Openclaw Skills.
How Oura Ring Data Integration Works
- The skill authenticates with the Oura API using a securely stored Personal Access Token.
- A Python-based sync script is executed via the uv package manager to fetch the latest telemetry.
- The skill retrieves specific data modules including heart rate, stress, workouts, and sleep stages.
- Biometric data is parsed and formatted into structured Markdown files.
- Files are saved to a localized health directory, organized by date for easy retrieval by other Openclaw Skills.
Oura Ring Data Integration Setup
To get started, you must first obtain an Oura Personal Access Token from the Oura developer portal. Once you have your token, configure your environment:
export OURA_TOKEN='your_token_here'
Ensure you have the uv tool installed, then run the initial sync for the past week of data:
uv run scripts/sync_oura.py --days 7
Oura Ring Data Integration Data Schema & Taxonomy
All health data is stored in the {baseDir}/health/ directory using a standardized naming convention of YYYY-MM-DD.md. Each file contains a comprehensive breakdown of the day's metrics:
| Data Type | Description |
|---|---|
| Sleep | Detailed breakdown of sleep stages, efficiency, and timing. |
| Readiness | Recovery scores and physiological readiness contributors. |
| Activity | Step counts, active calorie burn, and workout intensity. |
| Vitals | Heart rate variability (HRV), resting heart rate, and SpO2 levels. |
| Stress | Daily stress levels and recovery periods. |
Oura Ring Data Integration Advanced Features
- Historical Backfill: Use the
--daysflag to import months of historical health data in one command. - Granular Sync: Target specific dates with the
--dateparameter for precise data management. - Cron Automation: Schedule daily morning updates using the OpenClaw cron tool to keep Openclaw Skills synchronized automatically.
- AI-Ready Formatting: Markdown structure is optimized for RAG (Retrieval-Augmented Generation) and LLM analysis.
SKILL.md
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