10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
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).
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install arunnadarasa/lovableInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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.
Account and project
Scope with Plan mode
Build by component
Backend and data
Publish
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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...
generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.