StanfordSpezi

15 mods across 1 repository, 26 stars between them.

app-build-planner

01

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Turn planning outputs into a milestone-based implementation plan that sequences features, maps them to available packages or modules, and hands off to a coding agent for implementation.

not rated 26 +1 24d ago A SkillSpector: pass 36 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Guide a user through Stanford Biodesign's needs-finding process to define, scope, and refine a rigorous health-app need statement without jumping prematurely to solutions.

not rated 26 +1 24d ago A SkillSpector: pass 40 tokens original MIT

build-an-app

03

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Walk through the full process of building a digital health app — from planning to implementation.

not rated 26 +1 24d ago A SkillSpector: warn 21 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Plan healthcare privacy, research, and regulatory compliance for a digital health product, including HIPAA, IRB, FDA, GDPR, governance, and operational controls.

not rated 26 +1 24d ago A 39 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Plan a digital health study or research protocol, including enrollment, consent, data collection, assessment schedules, study operations, and outcome measures.

not rated 26 +1 24d ago A 33 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Plan user journeys, onboarding flows, engagement strategies, and day-to-day workflows for digital health products.

not rated 26 +1 24d ago A 27 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Integrate patient-authorized EHR record retrieval into a digital health app using Fasten Connect — provider linking, webhook ingestion, FHIR record handling, and the data privacy decisions that come with holding the records.

not rated 26 +1 24d ago A SkillSpector: warn 49 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Design a FHIR R4 data model for a healthcare application by mapping clinical concepts to resources, terminology, and implementation-ready relationships.

not rated 26 +1 24d ago A SkillSpector: warn 32 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Plan health data concepts, entities, relationships, interoperability needs, and governance choices for digital health products.

not rated 26 +1 24d ago A 26 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Generate changelog entries from git history using Keep a Changelog structure and user-facing release language.

not rated 26 +1 24d ago A SkillSpector: pass 25 tokens original MIT

project-wiki

11

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Set up and maintain a persistent, LLM-managed knowledge base for a digital health project — turning clinical observations, papers, interviews, and planning docs into a compounding, interlinked wiki.

not rated 26 +1 24d ago A SkillSpector: pass 42 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Create release notes that summarize features, fixes, and migration guidance for software releases.

not rated 26 +1 24d ago A SkillSpector: pass 21 tokens original MIT

StanfordSpezi/SpeziVibe

Skill Claude CodeCodex

Choose between React Native and Apple-native for a digital health app, set up the matching Spezi starter template, and move existing planning briefs into the new project so the coding agent has full context for implementation.

not rated 26 +1 24d ago A SkillSpector: warn 46 tokens original MIT

At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: