Stanford Spezi
Official@stanfordspezi · United States of America
Free and open-source ecosystem of modules enabling digital health systems
Agent Skills by Stanford Spezi
Showing 12 vetted skills indexed across 1 GitHub repositories.
StanfordSpezibiodesign-needs-finding
Guide health-innovation teams through Biodesign need-statement steps.
StanfordSpezibuild-an-app
Orchestrate digital health app planning and implementation from idea to runnable code.
StanfordSpezirelease-notes-generator
Generate structured release notes with highlights, fixes, and migration guidance.
StanfordSpezidigital-health-ux-planning
Plan user journeys and onboarding flows for digital health products.
StanfordSpezidigital-health-study-planning
Plan digital health studies from objective to outcomes in structured briefs.
StanfordSpezikeep-a-changelog-generator
Generate Keep a Changelog formatted release notes from git history.
StanfordSpezidigital-health-compliance-planning
Plan healthcare privacy and regulatory compliance requirements for digital health products.
StanfordSpeziapp-build-planner
Convert planning artifacts into a milestone-based implementation plan document.
StanfordSpeziproject-wiki
Ingest sources into a structured, AI-maintained project wiki with cross-linking.
StanfordSpezifhir-data-model-design
Map clinical concepts to FHIR R4 resources and output a Data Model Specification document.
StanfordSpezihealth-data-model-planning
Plan and validate health data entities and relationships with FHIR alignment.
StanfordSpezispezi-platform-selection
Select a Spezi starter template and clone it with planning context.
Frequently Asked Questions About Stanford Spezi
FAQPage SchemaWhat specific tasks can I perform using Stanford Spezi modules?▼
You can generate structured clinical data models, plan digital health user journeys, define regulatory compliance requirements, and create milestone-based implementation plans. These modules facilitate the transition from initial biodesign need-finding to technical project documentation and FHIR-compliant data architecture.
Who is the target audience for these digital health modules?▼
The modules are designed for clinical researchers, digital health product managers, and software engineers building medical applications. They provide a structured framework for teams navigating the intersection of healthcare innovation, regulatory standards, and clinical data interoperability.
What are the licensing and cost requirements for these resources?▼
Stanford Spezi is a free and open-source ecosystem. All modules and planning resources are available for public use, allowing developers and researchers to integrate these frameworks into their projects without proprietary licensing fees or commercial restrictions.