
Installable skills that help AI coding tools plan, build, and ship digital health apps.
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What is SpeziVibe
SpeziVibe’s installable skills turn an idea into structured markdown briefs — needs, compliance, data model, UX, study design — and an implementation plan your AI coding agent can build from.
When the plan is ready, spezi-platform-selection clones a matching Spezi template (React Native or Apple-native) so the agent has battle-tested architecture and modules to build on. How it works →
How it works
One command adds every planning skill to your AI coding tool. Works with anything that supports installable skills or custom instructions.
In any working directory, describe what you want to build. Skills walk you through needs analysis, compliance, data modeling, UX, and study design — producing structured markdown briefs and an implementation plan.
When the plan is ready, clone a Spezi template (React Native or Apple-native) — or skip the template and use any codebase. Your AI coding agent reads the briefs and writes the code, milestone by milestone.
Generate changelogs, release notes, and maintain a living project wiki that keeps your team's knowledge organized as you iterate.
Skills
Each skill covers a specific aspect of digital health development. Grouped by where they fit in your project lifecycle.
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.
Define the problem and design the system before writing code.
Walks you through a Stanford Biodesign-style needs-finding process to define a clear problem statement. Produces a need-statement.md.
Reason through HIPAA, IRB, FDA, GDPR, and related compliance questions early. Produces a compliance-brief.md. Not legal advice.
Plan a research protocol — enrollment, consent, data collection, assessment schedules, and outcome measures. Produces a study-brief.md.
Plan user journeys, onboarding, engagement, and day-to-day workflows for patients and clinicians. Produces a ux-brief.md.
Define health data entities, relationships, lifecycle states, and interoperability needs. Produces a data-model-brief.md.
Map clinical data types to specific FHIR R4 resources, terminology bindings, and relationships. Produces a fhir-data-model.md.
Choose your platform and turn planning docs into an implementation plan.
Choose between React Native and Apple-native for your app, set up your dev environment, and clone the matching Spezi starter template.
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.
Release with confidence and keep your team’s knowledge organized as you iterate.
A persistent, AI-maintained knowledge base for your project. Add interviews, papers, and clinical observations — 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.
One command. Every skill. Plan, build, and ship digital health apps.
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