القائمة
Walk through the full process of building a digital health app — from planning to implementation.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | build-an-app |
| description | Walk through the full process of building a digital health app — from planning to implementation. |
Walk a user through building a digital health app from start to finish. This skill orchestrates the other skills in this repository — it figures out what the user needs, runs the right planning skills, and hands off to implementation.
Use this skill when a user wants to:
Do not use this skill if the user wants to run a specific skill directly (e.g., they ask for FHIR data model design). Let them use that skill on its own.
You are a conversational guide. Keep it lightweight — don't front-load questions. Listen to what the user says, infer what you can, and only ask about what you can't figure out. Move at their pace.
Start with one open question:
"What do you want to build?"
Let the user describe their idea naturally. They might give you one sentence or three paragraphs — either is fine.
From their answer, look for signals about:
| Signal | What it tells you |
|---|---|
| Mentions a specific disease, condition, or clinical workflow | Health data and possibly FHIR are involved |
| Mentions a research study, trial, or enrollment | Study planning is needed |
| Mentions patient data, PHI, HIPAA, or regulatory concerns | Compliance planning is needed |
| Mentions HealthKit, vitals, wearables, or sensor data | Health data modeling is needed |
| Mentions EHR, Epic, SMART on FHIR, or interoperability | FHIR data model design is needed |
| Mentions they already have a repo or project | Skip platform selection |
| Mentions they already have designs or wireframes | UX planning may be lighter or skippable |
| Says "I don't know where to start" or describes a vague idea | Needs-finding would help |
If you can't tell whether the app involves health data, connects to clinical systems, or is part of a study, ask one follow-up question that covers the gaps. For example:
"Will this app collect or store any health data, and is it tied to a research study?"
Do not ask more than one follow-up. If something is still ambiguous, include the relevant skill in your proposed plan — the user can remove it.
Based on what you heard, assemble a plan from the available skills. Every skill is conditional — include only what the user's situation calls for.
| Skill | Include when |
|---|---|
biodesign-needs-finding | User is unsure about the problem, has a vague idea, or asks for help scoping |
spezi-platform-selection | User does not already have a project repo — runs last to choose React Native or Apple-native, clone the matching template, and move the planning briefs into it |
digital-health-ux-planning | User does not already have designs or wireframes |
health-data-model-planning | App stores or processes health data (vitals, assessments, patient records) |
fhir-data-model-design | App needs FHIR interoperability or connects to EHRs |
digital-health-compliance-planning | App handles PHI or has regulatory concerns |
digital-health-study-planning | App is part of a research study with enrollment and assessments |
app-build-planner | Always — produces the implementation plan that drives the build |
Present the plan as a short numbered list with one line per skill explaining what it does. Then ask:
"Does this look right, or would you add or remove anything?"
Let the user adjust before proceeding.
If the user already has a project, check for existing planning documents in docs/planning/. Skip any skill whose output already exists. If they already have docs/implementation-plan.md, skip straight to building.
Work through the selected skills in the order below. For each one:
All planning skills run before spezi-platform-selection, so the user is not committed to a platform until the plan is in hand.
Run skills in this order (skipping any that were not selected):
| Skill | Output Path | What it Produces |
|---|---|---|
biodesign-needs-finding | docs/planning/need-statement.md | Need statement: problem, population, outcome |
digital-health-ux-planning | docs/planning/ux-brief.md | User journeys, onboarding, workflows |
digital-health-study-planning | docs/planning/study-brief.md | Study protocol, enrollment, assessments |
health-data-model-planning | docs/planning/data-model-brief.md | Entities, relationships, FHIR recommendations |
fhir-data-model-design | docs/planning/fhir-data-model.md | FHIR resources, terminology, relationships |
digital-health-compliance-planning | docs/planning/compliance-brief.md | Privacy domains, controls, required decisions |
app-build-planner | docs/implementation-plan.md | Milestone-based build sequence |
spezi-platform-selection | Cloned template repository | Working project directory with template code; planning briefs moved into the cloned repo |
spezi-platform-selection runs last (when the user is ready to build). It uses the planning briefs to recommend a platform, clones the matching Spezi template, and moves the existing docs/planning/ and docs/implementation-plan.md into the cloned repo so the coding agent has full context.
Between each skill, ask: "Ready to move on, or do you want to adjust anything?"
After app-build-planner saves docs/implementation-plan.md, summarize everything that was produced — only list documents that were actually created:
Here's what we have:
Project: [cloned template path]
Planning documents:
[list only the docs that were created]
Implementation plan:
docs/implementation-plan.md
[N] milestones, starting with [Milestone 1 name]
Ready to start building Milestone 1?
If the user says yes, read docs/implementation-plan.md, find Milestone 1, and begin implementing it.
app-build-planner. Include skills based on what the user described, not a fixed checklist.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.
Choose between React Native and Apple-native for a digital health app, clone the matching Spezi starter template, and move existing planning briefs into the cloned repo so the coding agent has full context for implementation.
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.
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.
Plan healthcare privacy, research, and regulatory compliance for a digital health product, including HIPAA, IRB, FDA, GDPR, governance, and operational controls.
Plan a digital health study or research protocol, including enrollment, consent, data collection, assessment schedules, study operations, and outcome measures.