
Installable skills that help AI coding tools plan, build, and ship digital health apps.
What is SpeziVibe
SpeziVibe is a set of installable skills for your AI coding tool. Describe what you want to build, and they walk you through the decisions a digital health app needs — clinical need, compliance, data model, UX — and write them up as structured markdown briefs plus an implementation plan your agent can build from. How it works →
How it works
Install the skills, then describe your app. They ask the right questions and produce markdown briefs — needs, compliance, data model, UX — and a milestone-based implementation plan.
Clone a Spezi template (React Native or Apple-native) or use any repo. Your agent builds from the briefs, milestone by milestone.
Generate changelogs and release notes, and keep a project wiki so your team’s knowledge stays organized as you iterate.
Skills
Let build-an-app run the right skills for you, or run any skill yourself. Either way, you get the same structured briefs.
Describe what you want to build. It figures out which skills apply, runs them in order, and hands off to implementation. The easiest way to start.
Already know what you need? Run any skill on its own, in any order. Each one works standalone and writes the same briefs.
Browse the skills ↓The full catalog
Every skill, grouped by where it fits in your project. build-an-app runs the right ones automatically — or pick any to run on its own.
Walks you through a Stanford Biodesign-style needs-finding process to define a clear problem statement. Produces a need-statement.md.
Reasons through HIPAA, IRB, FDA, GDPR, and related compliance questions early. Produces a compliance-brief.md. Not legal advice.
Plans a research protocol — enrollment, consent, data collection, assessment schedules, and outcome measures. Produces a study-brief.md.
Plans user journeys, onboarding, engagement, and day-to-day workflows for patients and clinicians. Produces a ux-brief.md.
Defines health data entities, relationships, lifecycle states, and interoperability needs. Produces a data-model-brief.md.
Maps clinical data types to specific FHIR R4 resources, terminology bindings, and relationships. Produces a fhir-data-model.md.
Chooses between React Native and Apple-native for your app, sets up your dev environment, and clones the matching Spezi template.
Reads the planning briefs from the other skills and turns them into a milestone-based implementation plan with tasks, dependencies, and verification criteria. Produces an implementation-plan.md.
Maintains a persistent knowledge base for your project. Add interviews, papers, and clinical observations, and the AI integrates them across interlinked pages.
Generates changelog entries from git history in the Keep a Changelog format. Groups commits by category and translates messages into user-facing language.
Creates user-facing release notes from git history with feature highlights, fixes, breaking changes, and migration guidance.
Compatible with
Skills are tool-agnostic — they work with anything that supports installable skills or custom instructions.
Add the skills to your AI coding tool and start planning your first app.
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