clawhealth-deployer

What This Skill Does

The clawhealth-deployer is a specialized utility designed to bridge the gap between your personal health data and the OpenClaw ecosystem. By deploying the ClawHealth backend (Open Wearables) on your local machine, this skill enables your OpenClaw assistant to interface directly with your physical health metrics. The process involves cloning the Open Wearables repository, initiating a Docker-based infrastructure consisting of PostgreSQL, Redis, and a dedicated API, and finally, injecting the necessary MCP (Model Context Protocol) configuration into your existing OpenClaw setup. Once active, the skill allows you to query complex health data, such as sleep patterns, heart rate variability, or daily step counts, directly through your OpenClaw interface. It ensures that the gateway can securely communicate with your local health data repository, providing a cohesive experience where your AI becomes a personalized health dashboard.

Installation

To utilize this skill, ensure your local environment is equipped with Docker, Git, and Node.js. If Docker is not currently running, please launch the application before proceeding. To install, execute the following command in your terminal: clawhub install openclaw/skills/skills/hengruizzzz/clawhealth-deployer. Once installed, the skill automatically handles the deployment of the backend. It will prompt the configuration of environment variables such as CLAWHEALTH_INSTALL_DIR if you prefer a custom storage location. After the script runs, ensure you run clawdbot gateway restart to register the new MCP server. Finally, install the ClawHealth iOS app—built on our official SDK—to sync your HealthKit data to the local backend you just deployed.

Use Cases

This skill is perfect for power users who want to move beyond generic health tracking and integrate their physical metrics into their AI assistant. It is ideal for users looking to perform longitudinal analysis on their health data, such as comparing sleep quality against daily physical exertion, or for those who simply want a natural language interface to query their recent wearable activity without navigating proprietary health apps. It is also designed for developers who want to test the integration between OpenClaw and external hardware data streams.

Example Prompts

1. "Deploy the ClawHealth backend and connect it to my current OpenClaw instance."
2. "How well did I sleep last week according to my health data?"
3. "Show me a summary of my step counts and active heart rate data from yesterday."

Tips & Limitations

• Ensure your iPhone and your OpenClaw host machine are on the same local network for initial synchronization.
• The skill requires an active Docker daemon to maintain the backend services; if Docker is stopped, queries will fail.
• If you encounter issues with data visibility, verify that the iOS app has permission to write to your HealthKit data and that the API key provided during the setup matches the key in the MCP configuration file.
• Note that this skill only facilitates the retrieval of data synced via the ClawHealth app; ensure your wearable device is correctly paired with Apple Health on your iOS device first.