A mobile application (iOS & Android) for managing and using predefined prompt templates with AI services like ChatGPT. Built with React Native and Expo.

• 📱 Mobile Prompt Library: Create, edit, delete, and organize your favorite prompts directly on your phone.
• 🎨 Customization: Assign custom colors and icons (from Material Community Icons) to prompts for easy visual identification.
• 🗂️ Categorization: Organize prompts with custom categories.
• ✨ AI Prompt Enhancer: Improve your prompts using AI! Provide an initial prompt and let the selected AI model suggest enhancements iteratively.
• 🤖 AI Auto-Categorization: Automatically suggest categories for your prompts using an AI model (requires OpenAI API Key).
• ⚙️ Configurable AI Model: Choose which OpenAI model (e.g., GPT-4o-mini, GPT-4 Turbo) to use for AI features via the Settings screen.
• 💾 Local Storage: All prompts and settings are stored securely on your device using AsyncStorage.
• 🔄 Import/Export: Backup and share your prompts by exporting them to a JSON file, and import prompts from a previously exported file.
• 📋 Quick Copy: Easily copy prompt text to the clipboard (feature planned/partially implemented).
• ⬆️⬇️ Reordering: Arrange your prompts in the desired order within the list.

• React Native
• Expo (Managed Workflow - SDK 52)
• TypeScript
• React Navigation
• AsyncStorage (for local data persistence)
• OpenAI API (for optional AI features)

QuickPrompts/
├── assets/              # Static assets (icon, splash screen, fonts)
├── src/
│   ├── components/      # Reusable UI components (Button, PromptForm, PromptListItem, etc.)
│   ├── context/         # React Context providers (SettingsContext)
│   ├── hooks/           # Custom React hooks (usePrompts)
│   ├── navigation/      # React Navigation setup (AppNavigator, types)
│   ├── screens/         # Application screens (PromptList, PromptEdit, Settings, etc.)
│   ├── types/           # TypeScript type definitions (Prompt, API types)
│   ├── utils/           # Utility functions (storage, openaiApi, constants)
├── App.tsx              # Main application component
├── app.json             # Expo configuration file
├── eas.json             # EAS Build configuration
├── package.json         # Project dependencies and scripts
├── tsconfig.json        # TypeScript configuration
└── ...                  # Other config files (.gitignore, etc.)

1. Prerequisites:

   • Node.js (LTS recommended)
   • npm or Yarn
   • Expo Go app on your physical device (iOS or Android) OR Android Studio / Xcode for simulators.
   • Expo CLI: npm install -g expo-cli

2. Clone the repository:

   git clone <repository-url>
   cd QuickPrompts

3. Install dependencies:

   npm install
   # OR
   yarn install

4. Run the application:

   npx expo start

   This will start the Metro bundler.

5. Open the app:

   • On device: Scan the QR code shown in the terminal using the Expo Go app.
   • On simulator: Press i in the terminal for the iOS Simulator or a for an Android Emulator/connected device.

1. Adding Prompts:

   • Navigate to the main "Quick Prompts" list screen.
   • Tap the + icon in the header.
   • Fill in the prompt text (required).
   • Optionally add a name, category, and select a color/icon.
   • AI Enhancer (Optional):
     • Ensure your OpenAI API key and desired model are set in Settings.
     • Tap "Enhance with AI".
     • Review the suggestion. You can "Accept Suggestion" or provide feedback and "Regenerate with Feedback".
   • Tap "Add Prompt".

2. Editing/Deleting Prompts:

   • Tap on a prompt in the list to navigate to the "Edit Prompt" screen.
   • Make changes and tap "Update Prompt".
   • Tap "Delete Prompt" (and confirm) to remove it.

3. Using Prompts:

   • Tap the copy icon on a prompt item in the list (feature planned/partially implemented).

4. Settings:

   • Navigate to Settings using the cog icon in the header of the main list.
   • Enter your OpenAI API Key to enable AI features.
   • Select your preferred OpenAI model for enhancement and categorization.
   • Tap "Save Settings".

5. AI Categorization:

   • Ensure your API key is saved in Settings.
   • Navigate to Settings > "Go to AI Categorization".
   • Tap "Fetch Category Suggestions".
   • Review the suggestions and check the boxes for the ones you want to apply.
   • Tap "Apply Selected Categories".

6. Import/Export:

   • Navigate to the Import/Export screen using the swap icon in the header of the main list.
   • Follow the on-screen instructions to export your current prompts to a file or import prompts from a previously saved file.

Contributions are welcome! Please feel free to submit issues or pull requests.

This project is licensed under the MIT License. (Assuming MIT - add LICENSE file if needed)