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OpenClaw

clawhub-lovable

Helps OpenClaw Clinical Hackathon participants get started quickly building clinical and healthcare apps with Lovable. Use when the user is building a clinical app in Lovable, mentions the hackathon or Lovable, or asks for quick-start guidance for clinical projects (patient intake, dashboards, assessments, PHI-safe patterns).

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Installation

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skillhub install arunnadarasa/lovable

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Skill instructions

ClawHub × Lovable — Clinical Hackathon Quick Start

Use this skill when helping participants of the OpenClaw Clinical Hackathon build clinical or healthcare projects with Lovable (full-stack AI app platform). Goal: get from idea to a working clinical MVP fast, with sensible patterns for auth, data, and scope.

When to apply

  • User mentions OpenClaw Clinical Hackathon, Lovable, or clinical project
  • User wants to build a clinical/healthcare app (intake forms, dashboards, assessments, vitals, etc.)
  • User asks for quick start or getting started with Lovable for clinical use cases

Quick start (first clinical project in Lovable)

  1. Account and project

    • Sign up at lovable.dev and create a new project.
    • Name it clearly (e.g. “Patient Intake MVP”, “Clinical Dashboard”).
  2. Scope with Plan mode

    • In Lovable, use Plan mode first: describe the clinical goal (e.g. “Patient intake form with consent and basic demographics, then a simple list view”).
    • Get a high-level plan and break the app into components (e.g. intake form, list, detail view).
  3. Build by component

    • Use Agent mode to implement one component at a time.
    • Prompt for that component (e.g. “Add a patient intake form with fields: name, DOB, consent checkbox, submit”) instead of “build the whole app”.
    • Add authentication early if the app will show any user-specific or sensitive data.
  4. Backend and data

    • Use Lovable Cloud (Supabase) for database and auth so you don’t manage servers.
    • Prefer structured fields (e.g. demographics, assessments) in the DB from the start; avoid free-text blobs for anything that might be PHI.
  5. Publish

    • Use Lovable’s deploy/publish flow when the MVP is ready; add a custom domain later if needed.

Clinical project patterns

  • Auth from day one
    If the app touches patient or user-specific data, add auth (e.g. Supabase Auth...

Source information

Source
github
Repository
openclaw/skills
Path
skills/arunnadarasa/lovable
Version
—
Commit
ae832a455f3029fb7f3a7f0242e926f78888d2bd
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# ClawHub × Lovable — Clinical Hackathon Quick Start

Use this skill when helping participants of the **OpenClaw Clinical Hackathon** build **clinical or healthcare projects** with **Lovable** (full-stack AI app platform). Goal: get from idea to a working clinical MVP fast, with sensible patterns for auth, data, and scope.

## When to apply

- User mentions **OpenClaw Clinical Hackathon**, **Lovable**, or **clinical project**
- User wants to build a **clinical/healthcare app** (intake forms, dashboards, assessments, vitals, etc.)
- User asks for **quick start** or **getting started** with Lovable for clinical use cases

## Quick start (first clinical project in Lovable)

1. **Account and project**
   - Sign up at [lovable.dev](https://lovable.dev) and create a new project.
   - Name it clearly (e.g. “Patient Intake MVP”, “Clinical Dashboard”).

2. **Scope with Plan mode**
   - In Lovable, use **Plan mode** first: describe the clinical goal (e.g. “Patient intake form with consent and basic demographics, then a simple list view”).
   - Get a high-level plan and break the app into **components** (e.g. intake form, list, detail view).

3. **Build by component**
   - Use **Agent mode** to implement one component at a time.
   - Prompt for **that component** (e.g. “Add a patient intake form with fields: name, DOB, consent checkbox, submit”) instead of “build the whole app”.
   - Add **authentication early** if the app will show any user-specific or sensitive data.

4. **Backend and data**
   - Use **Lovable Cloud** (Supabase) for database and auth so you don’t manage servers.
   - Prefer **structured fields** (e.g. demographics, assessments) in the DB from the start; avoid free-text blobs for anything that might be PHI.

5. **Publish**
   - Use Lovable’s deploy/publish flow when the MVP is ready; add a **custom domain** later if needed.

## Clinical project patterns

- **Auth from day one**  
  If the app touches patient or user-specific data, add auth (e.g. Supabase Auth...

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