Vibe code
digital health
Installable skills that help AI coding tools plan, build, and ship digital health apps.
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What is SpeziVibe
Plan and build digital health apps
SpeziVibe is a collection of installable skills for AI coding tools. Skills guide you from needs analysis and compliance through data modeling and UX — then help you build with Spezi templates, pre-built modules, and a living project knowledge base.
From Stanford's Spezi initiative, built to lower the barrier to high-quality digital health experiences.
How it works
From idea to app.
Install
One command adds every skill to your AI coding tool. Works with anything that supports installable skills or custom instructions.
Plan
Describe what you want to build. Skills walk you through needs analysis, compliance, data modeling, UX, and study design — producing structured docs along the way.
Build
Start from a Spezi template app and add pre-built modules. Your planning docs guide the AI as it wires everything together.
Ship
Generate changelogs, release notes, and maintain a living project wiki that keeps your team's knowledge organized as you iterate.
Skills
One skill per area
Each skill covers a specific aspect of digital health development — from planning through building and maintenance.
build-an-app
Describe what you want to build. This skill figures out which steps apply, walks you through planning, and sets you up to build with the right template and modules.
> I want to build a medication tracking app
> for post-transplant patients
# Skills that run:
biodesign-needs-finding
digital-health-compliance-planning
health-data-model-planning
digital-health-ux-planning
app-build-planner
spezi-platform-selection
Choose between the React Native Template App and the Spezi Template Application for Apple Platforms, set up your dev environment, and clone the right starter repo.
biodesign-needs-finding
Walks you through a Stanford Biodesign-style needs-finding process to define a clear problem statement before jumping to solutions. Produces a need-statement.md.
digital-health-study-planning
Helps plan a research protocol — enrollment, consent, data collection, assessment schedules, and outcome measures. Produces a study-brief.md.
digital-health-compliance-planning
Helps you reason through HIPAA, IRB, FDA, GDPR, and related compliance questions early. Produces a compliance-brief.md with identified domains and recommended controls. Not legal advice.
health-data-model-planning
Helps define health data entities, relationships, lifecycle states, and interoperability needs. Biased toward FHIR for clinically meaningful data. Produces a data-model-brief.md.
digital-health-ux-planning
Plans user journeys, onboarding, engagement, and day-to-day workflows for patients and clinicians. Platform-agnostic — no wireframes, just goals and decision points. Produces a ux-brief.md.
fhir-data-model-design
Maps clinical data types to specific FHIR R4 resources, terminology bindings, and relationships. Expert-driven recommendations with sample JSON. Produces a fhir-data-model.md.
app-build-planner
Reads the planning docs from other skills and produces a milestone-based implementation plan with tasks, dependencies, and verification criteria. Produces an implementation-plan.md.
project-wiki
Set up a persistent, AI-maintained knowledge base for your project. Add interviews, papers, and clinical observations — the AI integrates them across interlinked wiki pages, flags contradictions, and keeps everything current.
keep-a-changelog-generator
Generates changelog entries from git history in the Keep a Changelog format. Groups commits by category and translates technical messages into user-facing language.
release-notes-generator
Creates user-facing release notes from git history with feature highlights, fixes, breaking changes, and migration guidance.
Compatible with
Works with any AI coding tool
Skills are tool-agnostic — they work with anything that supports installable skills or custom instructions.
Get started
One command. Every skill. Plan, build, and ship digital health apps.
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