Welcome to the Out-of-Pocket: Hardware Edition Hackathon!
Xmartlabs is sponsoring this event. Hackathons move fast, so we built these tools to cut setup time for teams working with health hardware and software.
This repository has tools and building blocks you can combine based on your use case. They handle device connectivity and data integration, so you spend less time on plumbing and more time on your product.
| Tool | What it is | Best For... | Quick Start |
|---|---|---|---|
| VytalLink | Mobile app + MCP interface that connects wearable health data to AI agents. Reads from Apple Health and Health Connect; exposes it via MCP. | Teams that need health data in their AI agent without building device integrations from scratch. | Deep Dive |
| Python Toolkit | Python toolkit that can be used as a library to integrate these capabilities into your own applications. | Teams building custom backends, automations, or prototypes on top of VytalLink capabilities. | Deep Dive |
| Reusable Agent Skills | Reusable agent skills designed following best practices in UX, accessibility, and interaction design. | Teams that want stronger product decisions, better prompts, and more usable healthcare experiences. | Deep Dive |
Vytallink simplifies the chaos of the wearable ecosystem. Instead of building separate integrations for Apple Health, Garmin Connect, Oura, and others, you integrate with Vytallink once and receive standardized data via API or webhooks.
- Website: vytallink.xmartlabs.com
- Implementation Guide: See
tools/vytallink
- Personal Health Insights: Connect wearable data (sleep, heart rate, activity) to an LLM to ask natural language questions like "Why was my sleep worse this week?" or "How does my activity affect my resting heart rate?"
- Personalized Fitness Coaching: Use natural language to get AI-driven recommendations based on wearable data, such as "What workout should I do today based on my recovery and sleep?" or "Am I improving my cardiovascular fitness?".
Python Toolkit is the code-first companion to Vytallink. Instead of connecting health data directly into an AI client, it gives you a Python package, CLI, and notebooks you can embed into your own backend, script, or prototype to fetch a health window, normalize the data, and build readiness-style workflows on top.
- GitHub Repo: xmartlabs/vytallink-health-kit
- Implementation Guide: See
tools/python-toolkit
- Daily Readiness Summaries: Pull a seven-day window of sleep, resting heart rate, and activity data from Vytallink, compute recovery signals, and generate a markdown or JSON readiness report for your app or dashboard.
- Custom Data Pipelines and Prototypes: Use the CLI, notebooks, or library layer to export normalized wearable data, power internal experiments, or add an LLM-driven health narrative without rebuilding metric logic from scratch.
These are reusable AI coding skills for Claude Code, Cursor, Windsurf, or any AI-powered coding tool. Install any skill with a single command:
npx skills add https://github.com/xmartlabs/oop-toolkit/tree/main/skills/<skill-name>Each skill gives Claude the context and procedures to help with a specific UX, accessibility, or healthcare design task.
| Skill | What it is | When to use it |
|---|---|---|
| accessibility-xl | Xmartlabs accessibility audit procedure based on WCAG 2.2 Level AA, Core Web Vitals, and UX/UI best practices. | Whenever you need to check contrast ratios, alt text, keyboard navigation, screen reader support, or audit any design for accessibility compliance before handoff. |
| ux-healthcare | Expert UX design guide for healthcare digital products, covering compliance (HIPAA, WCAG, ADA), user types, and 10 healthcare-specific design principles. | Anytime you're designing or reviewing a patient portal, clinical tool, health app, telemedicine platform, or any product used by patients, caregivers, or clinicians. |
| ux-prompt-library | UX/UI prompt assistant using the RACE framework for microcopy, wireframe layout, user flows, and UX research — plus a full Figma Make prompting guide. | When you want better outputs from AI tools: writing microcopy, planning wireframes, mapping user flows, writing usability test scripts, or prototyping in Figma Make. |
To install all skills at once:
npx skills add https://github.com/xmartlabs/oop-toolkit/tree/main/skills- Slack: Join the
#support-xmartlabschannel for direct technical support from our engineers. - On-Site Mentors: Look for the Xmartlabs t-shirts on the event floor! We are here to help you debug and architect your solutions.
- Xmartlabs Website: xmartlabs.com
Good luck, and let's build something that actually fixes healthcare!